LERTR: Advancing Data Breach Detection

As threat actors continuously challenge the cyber defences of organizations, companies are increasingly forced to focus on improving cybersecurity practices. However, even the best cybersecurity teams with the largest budgets find it hard to stay ahead of the evolving threat landscape. And with more technology in use, a growing reliance on cloud storage and the Internet of Things (IoT), there is a growing potential for sensitive data to be exposed to threats. 

As such it’s unsurprising that data breaches, in spite of increased cybersecurity spending, are becoming more common and more expensive to deal with. Employees need intelligent security practices and cyber habits and companies need to be armed with the latest technology and tools for early data breach detection to gain the upper hand when combatting this ever-changing threat.

Data Breaches Need to be Caught Early

The average cost of a data breach in 2020 according to the IBM / Ponemon Institute report was $3.86 million. However, there are plenty of examples where the costs have vastly exceeded this average, escalating into the hundreds of millions or even billions. For example, the Equifax data breach in 2017 cost Equifax $1.7 billion in the end. Another high profile example, Facebook eventually settled on a fine of $5 billion after it’s ‘privacy misstep’ involving Cambridge Analytica. This bill doesn’t include the additional costs and expenses that Facebook has accrued in the development and expansion of their cybersecurity and privacy departments nor does it account for the reputational damage it suffered.

While costs of these extremes are rare, data breaches in general are not. The IBM report goes on to analyse particular subsets of the data noting that the worst impacted is healthcare with an average data breach cost exceeding $7 million. And that the average time taken for an organization to identify and contain a data breach, was an astonishing 280 days, over 9 months. This is in spite of significant evidence that the speed of containment has a significant impact on the overall data beach cost, which if left unchecked can linger for years after the incident. 

How to Prevent Data Breaches

As with many of these things prevention is often the best policy. 

Data Breach Prevention #1: Have Clear Security Protocols 

Every employee should know, understand and be able to abide by strict security protocols to keep company data secure and thwart social engineering tactics. Having protocols is one of the best ways to help prevent data theft by ensuring unauthorized personnel do not have access to data. 

Data Breach Prevention #2: Safeguard Against Human Error

Many data breaches are the result of an employee error. This could be anything from downloading a document off of an illegitimate website, social engineering tactics or even outright blackmail. Employees should only have access to the information that is vital to their particular roles within the company. Those with higher level access should accordingly have higher levels of cyber security training and understanding.

Data Breach Prevention #3: Improved Password Protection

Having strong unique passwords is the first line of defence against any cyberattack. However, nobody, whether they are a high level executive not, is going to be able to remember a dozen or more 12 character passwords that use special characters, letters and numbers. Make sure that 2FA is enabled on all logins, and use a password manager (with 2FA enabled) to auto generate and save complex passwords and ensure the highest levels of password security are enabled.

Data Breach Prevention #4: Update Security Software Regularly

Companies should utilize a high quality antivirus software, anti-spyware program and firewall. Additionally, these programs should be regularly updated to keep them free from vulnerabilities. 

Data Breach Prevention #5:OSINT for Dark Web Forums

By monitoring dark web forums and other chat rooms you can learn of planned attacks, potential exploits and even find exploit kits being sold online. This will give you a good indication of the access methods which have been discovered allowing you to implement a patch quickly to prevent it.

The Tools for Early Detection of Data Breaches: LERTR

Having the right tools is vital if an organization wants to prevent or mitigate the threat of data breaches. Using an OSINT platform like Signal allows security teams to efficiently monitor the surface, deep, and dark web for details or indications of potential and past data beaches. For example, you might find exploit kits targeting a vulnerability specific to your company. This would allow you to prepare a patch for this vulnerability before it was exploited. 

Additionally, hackers might discuss strategies or plans around an upcoming data breach attempt on a dark web forum. Forewarned, you have a better chance of catching and preventing the attempt. However, prevention isn’t always possible. For those scenarios where you do face a data breach you want to discover it as quickly as possible to mitigate the potential damage and limit the costs.

To this end we have integrated with Webhose to advance our early data breach detection capabilities. Additionally, we have launched LERTR, a cyber specific OSINT platform. aa

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Automate Intelligence

With powerful tools at hand you can spend less time searching data and more time planning and implementing responses.

Be the first to Know

Defend against future attacks with relevant actionable intel. And be the first to know about compromised data, control damages.

Better Risk Protection

With improved risk protection you will be the first to know if an event that threatens your brand occurs enabling you to stay ahead. 

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Final Words

Data breaches are increasingly common and expensive. Effective preventative measures need to be put in place and maintained to limit threats. However, even the best defences can fall to a determined threat actor. As such organizations needs to ensure they have all the tools to not only prevent, but also to detect early and contain data breaches quickly should one occur.

Signal is a powerful OSINT tool which allows users to create searches using boolean logic enhanced with NLP, with which security teams can efficiently monitor online activity to detect threats as or even before they emerge.

5 Ways AI is Subtly Shaping the World as we Know it

Artificial Intelligence (AI) describes technologies that can make informed, non-random decisions algorithmically. It has many current and potential applications, it is the current pinnacle of humanities ceaseless drive towards greater and greater efficiency. In particular regard to OSINT though, it enables humans to collect, analyze and interpret huge sets of data, data sets so large that it would be entirely unfathomable to even approach them without machine assistance.

Everyone knows AI is shaping their world in one way or another. But often the changes are subtle, gradual and go unnoticed. Very few of us know what actually goes on behind the steel doors of the big tech companies like Alphabet, Facebook, and Apple. And yet we interact with their AI systems on a daily basis and those systems have huge power over our lives. In this article, we take a look at some of the key ways AI is being used today and how it will become increasingly important as our technologies improve.

5 Ways AI is Shaping the World 

1. Improving and optimising business processes 

The very first robots in the workplace were all about automating simple manual tasks. This is the age of factories and production lines. Today though, it’s not manual tasks that robots are taking over. Instead, software-based robots are taking on repetitive tasks carried out on computers. 

Initially, this was limited to automating simple repetitive tasks, such as “send follow up email 2 if no response after 3 days”. This has already reduced admin tasks and improved business operational efficiencies immeasurably. The next step though is the use of AI technologies to further alleviate some of the more labour intensive ‘intelligent’ tasks such as data gathering, aggregating and analysis, leaving people to spend more time on complex, strategic, creative and interpersonal tasks.

2. More personalization will take place in real-time

Big tech companies are already using data to personalization services. Google Discover, for example, is a feed based on a complex algorithm which reads your online history and tailors the news feed to your particular interests. Other big tech examples are Spotify and Netflix which use AI to suggest relevant media based on your historical behaviour. 

This technology is constantly being evolved and is probably one of the most noticeable in our day to day lives. The end goal is a system which can almost perfectly predict your desires and needs, an outcome none of us are likely to protest against. On the other side of the same coin though is the use of that very same data to target individuals with hyper-relevant ads. This practice can often seem intrusive and is one of the driving forces behind the adoption of VPN’s.

3. AI in the creative space

Some things are still, even in 2020, better handled by humans. That being said AI technologies are now beginning to encroach on the creative spaces. Scorsese's, The Irishman, is one example of this, where Robert De Niro was de-aged on-screen using AI technology. 

There are additional uses though, for example, AI is being used to edit video clips for the purposes of spreading misinformation, and often these edits are incredibly hard to spot. This has led to a new sector of cybersecurity which requires AI technology to spot AI-generated or edited video and audio files. 

4. Increasing AI in Cybersecurity

Even as data grows and is used to progress the development of AI this simultaneously opens up new avenues for exploits by threat actors. For example, AI can be used to create and automate targeted ‘intelligent’ phishing campaigns. AI-supported cyberattacks though have the potential to go much further.  As such, increasingly advanced AI is needed to combat the evolving cyber threat landscape.

Related: How Machine Learning is Changing Modern Security Intelligence 

5. AI learning to perfectly emulate humans

Anyone that keeps their eye on the work that Google is doing will know about their 2019 update, BERT. A natural language processing (NLP) framework which is designed to better understand context and intertextual reference so that they can correctly identify both the searcher's intent as well as the intent behind any content created. 

One of the key challenges that faces AI right now is idiomatic or referential speech; language that has more depth of meaning, for example, determining the importance of the concept of a mother, or understanding a phrase like “six feet under”. Our current research and development project at Signal is one example of the practical applications of overcoming this challenge. It involves using machine learning to enable our software to understand the intent behind text, even when ‘hidden’ behind challenging language like idioms, to more accurately identify threats.  

As these natural language processes advance, so too will conversational AI bots, to the point where, because of the range and complexities of their answers, you would be forgiven for mistaking them as human.

The Future of AI and what that means for OSINT

Artificial Intelligence, machine learning, and automation have already revolutionized intelligence gathering. With OSINT tools like Signal security teams and intelligence agents can effectively and efficiently monitor the open, deep, and dark web, setting up customized alerts based on searches that leverage boolean logic. Machine learning takes this intelligence to the next level. It allows for vast amounts of data to be collected, aggregated, and for all the irrelevant hits to be essentially culled, supplying the security team at the end with actionable, relevant intelligence.

Humans play an essential role in this new intelligence lifecycle. In defining the search terms to match security strategies, analysing the end date the system feeds back, reassessing the searches based on the new evidential data and implementing appropriate responses. This is a key role that will no doubt evolve as the technology becomes more accurate, reducing inefficiencies in process.

How can 4chan be Used as a Data Source for Security Intelligence?

What is 4chan?

4chan is one of the largest English language based image boards on the open web. They have over 900k new posts per day and some 27 million active monthly users.

What makes it a unique social platform is that users can choose to remain anonymous. They don’t even need to create an account to access and engage with content on the platform. As an added security measures, posts time-out after a period so they can’t, unless found and archived by an independent data gathering source, be checked and referenced by security teams, users, or law enforcement at later date.

There is a wide range of topics hosted on the platform, from Japanese culture, to politics, to adult content. Because of the anonymity allowed, as well as a very limited moderation by the site owners, 4chan has a large amount of illicit content and activity. This activity includes cyberbullying, child pornography, harassment, violent threats, racism and extremist ideologies. 

Despite this, it’s important to note that there is nothing inherently bad about the platform, just as there is nothing inherently bad about the dark web, and many of the users use it for legitimate purposes such as for its original intent which is the exploration and discussion of the Japanese film and television animation style, anime. In fact, like Reddit, many influential memes have originated from the platform such as ‘lolcats’ and ‘chocolate rain’. As such it has historically been an important driving force behind the development of internet culture.

Bottom line: 4chan is a forum, the original purpose was for the discussion of anime and Japanese culture. It’s a forum where users don’t need to have an account or sign up with a name, there is little moderation, and posts are deleted from the server after a period, as such there are few consequences. With this format, people can and do say just about anything on the platform.

How can 4chan benefit your organization as a data source?

The anonymity offered by the channel means users feel comfortable talking openly and they do so around a wide range of subject matters and people. For example, under the political forum /pol/ you can find examples of alt-right groups, threats of violence against a person, organization or group, and racist behaviour.

The range of topics discussed and the freedom with which individuals and groups openly discuss them can give security teams and law enforcement an idea of emerging trends as well as be one of the first places that death threats or threats of violence against individuals and organizations can be found. In the past, terrorist manifestos have also been posted on the channel. These discussions can indicate when an event is going to evolve into a tangible threat and give security teams a heads up to prepare and mitigate the potential threat.

Additionally, there are groups and individuals on the channel, such as the members of Anonymous who have turned their online attention, for right or wrong, to intelligence gathering on people and organizations. Often, 4chan is one of the first places they share their findings. For example, they might uncover and share personal details about a CEO such as their address, medical records and details of their family.

Why use Signal for monitoring 4chan?

One of the key problems with any form of online intelligence reconnaissance is the quantities of data you need to assess to get even the smallest tidbits of potentially useful information. 4chan has this problem in spades with over 3.5 billion posts. And these posts are transient, with the more R rated the post being the shorter it’s existence. This means relevant security intelligence on the 4chan platform might only be public for a couple of days. To gain real insights into the channel you need to be constantly and efficiently monitoring with real-time alerts.

4chan is just one of the data sources you can monitor using Signal though. You can simultaneously monitor the open, deep, and dark web including forums like Reddit and chatrooms like Telegram. Our system allows you to create tailored keyword-driven searches with boolean logic which is assisted by our machine learning and language processing AI to efficiently gain intel on hyper-relevant, new and emerging threats.

How Machine Learning is Changing Modern Security Intelligence

A key challenge facing modern security teams is the explosion of new potential threats, both cyber and physical, and the speed with which new exploits are taken advantage of. Additionally, in our globalized world threats can evolve from innumerable sources and manifest as a diverse range of hazards.

Because of this, security teams need to efficiently utilize automation technology and machine learning to identify threats as or even before they emerge if they want to mitigate risks or prevent attacks.

Artificial Intelligence in the Cyber Security Arms Race

Today, AI and machine learning play active roles on both sides of the cybersecurity struggle, enabling both attackers and defenders to operate at new magnitudes of speed and scale.

When thinking about the role of machine learning for corporate security and determining the need, you first need to understand how it is already being used for adversarial applications. For example, machine learning algorithms are being used to implement massive spear-phishing campaigns. Attackers harvest data through hacks and open-source intelligence (OSINT) and then can deploy ‘intelligent’ social engineering strategies with relatively high success rate. Often this can be largely automated which ultimately allows previously unseen volumes of attack to be deployed with very little effort.

Another key example, a strategy that has been growing in popularity as the technology evolves, making it both more effective and harder to prevent, is Deepfake attacks. This uses AI to mimic voice and appearance in audio and video files. This is a relatively new branch of attack in the spread of disinformation and can be harnessed to devastating effect. For example, there are serious fears of the influence they may bring to significant future political events such as the 2020 US Presidential Election.

These are just two of the more obvious strategies currently being implemented in a widespread fashion by threat actors. AI supported cyberattacks though have the potential to go much further. IBM’s DeepLocker, for example, describes an entirely new class of malware in which AI models can be used to disguise malware, carrying it as a ‘payload’ to be launched when specific criteria are met - for example, facial recognition of its target.

Managing Data Volumes

One of the primary and critical uses of AI for security professionals is managing data volumes. In fact, in Capgemini’s 2019 cybersecurity report 61% of organizations acknowledged that they would not be able to identify critical threats without AI because of the quantities of data it is necessary to analyze.

“Machine learning can be used as a ‘first pass’, to bring the probable relevant posts up to the top and push the irrelevant ones to the bottom. The relevant posts for any organization are typically less than 0.1% of the total mass of incoming messages, so efficient culling is necessary for the timely retrieval of the relevant ones.” - Thomas Bevan, Head Data Scientist at Signal.

Without the assistance of advanced automation softwares and AI, it becomes impossible to make timely decisions - impossible to detect anomalous activity. The result of which is that those organizations who don’t employ AI and automation softwares for intelligence gathering often miss critical threats or only discover them when it’s too late.

Signal OSINT and Machine Learning

Signal OSINT platform uses machine learning and automation techniques to improve data collection and aggregation. The platform allows you to create targeted searches using Boolean logic, but it is our machine learning capabilities which allow us to go beyond Boolean keyword searches. 

“By recognising patterns in speech and relations between commonly used words, one can find examples of relevant posts even without keywords. While phrases like ‘I’m gonna kill the boss’ can be picked up by keywords easily, keyword searches alone struggle with more idiomatic speech like, ‘I’m gonna put the boss six feet under’, and will incorrectly flag posts like ‘Check out the new glory kill animation on the final boss’. Machine learning, given the right training data, can be taught to handle these sorts of examples,” says Thomas Bevan.

Signal continuously scans the surface, deep, and dark web and has customizable SMS and Email alert capability so that security teams can get real-time alerts from a wide array of data sources such as Reddit, 4Chan, 8Kun etc. Additionally, Signal allows teams to monitor and gather data from dark web sources that they would otherwise be unable to access either for security reasons or because of captive portals.

Finally, the software allows users to analyze data across languages and translate posts for further human analysis. There are additional capabilities, such as our emotional analysis tool Spotlight, which can help indicate the threat level based on language indicators.

Complementing AI with Human Intelligence

In order to stay ahead of this rapidly evolving threat landscape, security professionals should be using a layered approach that pairs the strategic advantages of machine learning to parse through the vast quantities of new data with human intelligence to make up for current flaws in AI technology.

Machines have been at the forefront of security for decades now. Their role though is evolving as they get passed the heavy lifting, allowing analysts and security professionals to analyse hyper-relevant data efficiently. 

The Pivotal Role of OSINT for Effective Emergency Management

An emergency incident can happen at any time, often with very little warning. If an organization wants to prepare an effective response to an evolving threat landscape and better protect both their assets and employees they need to have efficient mitigation and response measures in place. 

Data and intelligence form a pivotal role in emergency management. They allow security and event management teams to discover threats and accurately assess the associated risk levels. With this knowledge, they can enact an appropriate response to remove employees from harm’s way and prevent potential damages to the organization.

Data Performs a Vital Role in Emergency Management 

Some of the ways data and intelligence gathered using Signal OSINT can be used include:

• Better Situational Awareness. Save time and lives by rounding out your situational awareness with commentary, photos and videos posted online by the public and media.

• Misinformation Management. Catch and manage the spread of misinformation in real-time before it spreads to the public and puts lives at risk, wasting precious time and resource.

• Improved Agency Collaboration. Get a better view of what other agencies are doing during an emergency to ensure you allocate people effectively.

• Geo-targeted Risk Assessment. Keep an eye on areas of interest, such as near a location of an event you’re hosting, and watch for disruptions such as extreme weather or terrorist threats near your offices.

Threats, Hazards, and Risks.

There are three main types of threats and hazards. First, natural hazards. This includes extreme weather such as hurricanes, earthquakes, and wildfires. These can cause extensive disruptions to a business. Such events are often seasonal and organizations should monitor for them during high risk months. 

Secondly, technological hazards. These include power outages and infrastructure failures. For example, your business might be affected by your internet provider going down temporarily, or transport links might be disrupted meaning employees are unable to get to work. 

And thirdly, man-made hazards. These include cyber-attacks and data breaches, terrorist threats or threats against assets or executives. These can happen at any time, however, often you can find indications on data sources such as darknet forums before the event.

The Importance of Assessing Risks Appropriately

The more data and information you have the more accurately you can assess the risk level of an emerging threat. For example, you might use Signal to set up real-time alerts on an evolving threat like spreading wildfires. This allows you to continually reassess and determine in a timely manner when or if you need to take action to ensure your staff are removed from harms way. However, there is a fine balance between under and over protection. 

The Risk of Over-protection

Over-protection is when you initiate responses either too early or too extreme. Erring on the side of caution is always a good idea when it come to protecting employees, however, it can be costly and inefficient. 

Over-protection is often caused by the following:

• Personal interpretation of the threat level.

• Not having enough data to form an accurate assessment.

• Not having enough alert levels to allow a staged escalation of measures appropriate for the evolving risk level.

The Risk of Under-protection

Just as with over-protection, under-protection will inhibit the effectiveness of your emergency management response. This can place employees unnecessarily in harms way and means you will be unable to appropriately respond to a threat. The end result of under-protection is invariably higher than necessary associated costs.

To prevent under-protection there are several things that an organization can do:

• Provide clear guidance on risk levels of certain threats and make the response increase easy to implement.

• Continually assess and reassess the evolving threat landscape and update your alert level guidance accordingly.

Other Emergency Risk Management Considerations

We have already mentioned alert levels a couple of times in this article. This is because having clear guidelines and properly gradated alert levels will allow you to respond effectively and efficiently to crises. 

Additionally, your employees should be aware of your response plans, especially to common threats. For example, if your officers are located in an earthquake prone area, have regular earthquake drills. 

Finally, should an emergency happen you need an efficient way to communicate the danger to your employees and instigate the appropriate response.

Signal and Emergency Management

Up to the Minute Intel

Emergencies happen without warning. Signal is flexible and fast allowing you to react effectively to the situation.

Prevent Misinformation

Misinformation and media can cause havoc in an emergency. Stay ahead of the noise with a real-time feed of targeted data.

Email and SMS Alerts

Signal has email and SMS alerts which allow you to stay updated on key evolving threats in real-time.

Signal provides hyper-relevant intelligence on evolving threats as or even before they happen. This allows security teams to maximize warning times and enact mitigating measures.

Immediately, this means better protection for staff. This also has additional longer term upsides. For example, it might allow a security team to detect negative sentiment around the brand which allows them to identify and monitor potential threat actors and prevent a threat from evolving. Or, it could allow for a team to have early detection of a data breach, which according to IBM could save an organisation over $600,000. 

Why organizations need threat intelligence tools as part of their security defences

What is Threat Intelligence?

Those very same technologies that have allowed globalization, which have brought us all closer together and enabled organizations and brands to achieve the current growth and success they enjoy today, have simultaneously brought with them increased risks. These risks come in the form of increased vulnerabilities and exploitable attack vectors for cyber attackers. Threat intelligence is all about gathering data and knowledge to combat and mitigate these threats. 

Threat intelligence provides organizations with information and context required to effectively predict and even prevent cyberattacks. Additionally, it helps inform security teams of the best practice for both preventative measures and response measures to ensure if there is a cyberattack the resulting costs are minimal. 

In short, threat intelligence is the gathering of evidence-based knowledge to inform action-oriented preventative and reactionary responses to an ever-evolving cyber threat landscape.

The Importance of Threat Intelligence

Threat actors are increasingly persistent, and their persistence pays off. Even the most dedicated professionals can’t help but struggle to keep abreast of every new cybersecurity development. New exploits are constantly being discovered or developed and strategies such as social engineering are increasing in complexity. Security teams need up to date data and intelligence on evolving threats if they are going to be able to develop effective responses.

Additionally, within the corporate world one of the key buzzwords of the last two decades has been “accessibility”. Accessibility to data means organizations have necessarily become reliant on digital processes and almost everything is stored on the cloud. Unfortunately, while accessibility is essential to developing efficient processes, and effectively using big data, it also increases the number of threat vectors that attackers can exploit. According to the IBM 2020 data breach report the longer a data breach goes undetected the more expensive it ends up being for the organization. Primarily then, threat intelligence gathered using tools like Signal OSINT can help organizations detect data breaches earlier, mitigating the eventual costs both reputational and monetary.

The final reason that threat intelligence plays such a pivotal role in today’s security is the distinct lack of skilled cybersecurity professionals. Threat intelligence is a time-consuming business that requires a skilled deft hand to manage. The best threat intelligence solutions use machine learning to automate data collection, then filter and structure data from disparate sources to present only hyper-relevant information to a skilled security team for final analysis. The security team can then use this data to create effective actionable plans based on evidential knowledge. This approach optimizes the performance of both the cybersecurity professional and the intelligence tools being used.

Threat intelligence is actionable — it’s timely, provides context, and is able to be understood by the people in charge of making decisions.

Use Case Examples for Threat Intelligence 

Threat intelligence can be used in a diverse range of strategies which makes it an essential tool for security teams in any organization. It’s most immediate value is in helping prevent an attack by gathering intel on threats in real-time, however, it’s also useful for a broad scope of activities such as managing vulnerabilities, informing decision making, and responding to attacks as or after they happen.

Related: The Role of Threat Intelligence and Cybersecurity in Retail

Prevent an attack

From the time that a vulnerability is found to the time an exploit targeting that vulnerability is available for threat actors is shortening. Security professionals need to know about the vulnerability fast so that they can implement a patch and prevent it from being exploited.

Respond to a Data Breach

Data breaches are costly and often go unnoticed. With the right threat intelligence tools you can determine when a data breach happens fast and take suitable actions to mitigate the costs of any following repercussions.

Manage a Vulnerability

The approach of “patch everything, all the time” is impractical and will likely see organizations fall behind - leaving more serious vulnerabilities open for longer. Threat intelligence can help security teams effectively manage vulnerabilities by giving the salient data to allow them to prioritize patches based on actual risk. 

Risk Analysis

This leads on nicely from the last point. Threat intelligence can help security teams determine the actual risks associated with potential vulnerabilities or attacks by providing additional contextual information. For example, threat intelligence can help security professionals  answer the following questions:

• Which threat actors are using this attack, and do they target our industry?

• How often has this specific attack been observed recently by enterprises like ours?

• Which vulnerabilities does this attack exploit, and are those vulnerabilities present in our enterprise?

• What kind of damage, technical and financial, has this attack caused in enterprises like ours?

Fraud Prevention

Fraud can encompass anything from a fraudulent use of your brand, data, or even impersonation of your employees. For example, an individual might impersonate a doctor and sell fake versions of your prescription medication online.

Incident Response

Having the ability to gather and filter through threat intelligence from across the surface, deep, and dark web in real-time allows security teams to effectively and appropriately respond to incidents as they are happening.

How can Signal threat intelligence improve your organization’s security?

Signal allows our customers to analyze emerging global trends, detect threats in real-time, and then form appropriate security strategies to counter these potential threats as or even before they fully reveal themselves.

One of the key issues that security teams and analysts face is the sheer amount of noise that might surround their brand. Invariably much of this noise is irrelevant to their purposes, however, some of it will be bad. This is why Signal assists with advanced filters with boolean logic as well as features such as our emotional analysis tool.

The Increasing Risks and Rising Costs of Data Breaches

Data Breaches Aren’t Uncommon 

It’s not just small companies with limited security budgets that have exploitable cyber gaps. Often, in fact, large organizations become targets because of the amount and nature of the data that they hold. Organizations in the healthcare sector, for example, have proven time and again to be a popular targets for cybercriminals.

Another example of a large organization being targeted is Experian. Experian experienced a major data breach in August 2020 where over 24 million records were exposed. The attackers impersonated a client and were able to request and obtain confidential data. Experian claimed that no customer banking information was exposed. Even so, personal information like this could be used in a targeted social engineering strategy to then get Experian customers to reveal further sensitive information such as their banking details.

This isn’t the first major data breach that Experian has had. Back in 2015, 15 million North American customers and applicants had their personal data, including Social Security numbers and ID details, stolen. Perhaps because of this prior experience, Experian understands the risks and are adept at dealing with cyber breaches. They claim that the attacker’s hardware has already been seized and the collected data secured and deleted.

How Much Does the Average Data Breach Cost?

The answer to this question varies between country and is additionally dependent on the sector but in general, can span anywhere from $1.25 million to $8.19 million.

According to the 2020 report from IBM and the Ponemon Institute the average cost of a data breach in 2020 is down 1.5% since 2019 and cost around $3.58 million USD. This works out to be around $150 per record and is a 10% rise over the last 5 years. The report analyzes recent breaches at more than 500 organizations to spot trends and developments in security risks and best practices.

The cost estimate includes a combination of direct and indirect costs related to time and effort in dealing with a breach, lost opportunities such as customer churn as a result of bad publicity, and regulatory fines. Though the average cost of a breach is relatively unchanged, IBM says the costs are getting smaller for prepared companies and much larger for those that don’t take any precautions.

Interestingly, various industries including healthcare appear to be more susceptible targets for attackers. According to the report, healthcare breaches cost organizations $6.45 million per breach, a number that eclipses all other sectors and makes it the ninth year in a row that healthcare organizations have had the highest costs associated with a data breach.

The average cost for per breached healthcare record ($429) is more than double any other industry too and substantially higher than the average, $150, according to the report. Healthcare breaches can often take the longest to identify (up to 236 days) as well.

Data Breaches are Happening all the Time

Data breaches are occurring constantly. Records from large brands with big security budgets and teams as well as much smaller organizations. It’s important that everyone understand the importance of secure digital practices and explores strategies for educating staff to reduce the risk of social engineering tactics.

Source: Webhose.io

How do Data Breaches Occur?

Hackers use various strategies to gain access to data. For example, with Experian the attacker leveraged human weakness through social engineering to persuade an employee to give them the data. Other strategies could be exploiting weaknesses such as a misconfigured or unsecured cloud storage. Alternatively a data breach could be the result of a malicious malware or ransomware. 

According to the IBM/Ponemon report around 40% of all incidents were actually due to either cloud misconfigurations or stolen login details. Because of this IBM has urged companies to reexamine their authentication protocol to ensure 2FA is active.

A final note on the ascertaining of data by attackers is around state-sponsored attacks. State-sponsored attacks only make up around 13% of the overall number of attacks according to the report. However, with an average associated cost of around $4.43 million it’s clear that these types of attacks tend to target high-value data and this results in a more extensive compromise of victims' environments.

The energy sector, commonly targeted by nation-states, saw a 14% increase in breach costs when compared to the prior-year period, with an average breach cost of $6.39 million.

How can Organisations Reduce the Cost of Data Breaches?

“The average time to identify and contain a data breach, or the "breach lifecycle," was 280 days in 2020. Speed of containment can significantly impact breach costs, which can linger for years after the incident.” - Source 

By having mitigation measures in place IBM/Ponemon estimate companies can reduce the cost of a breach by an average of $720,000. 

According to their report those companies which had automated technologies deployed experienced around half the cost of a breach ($2.65 million on average) compared to those that did not have these technologies deployed ($5.16 million average). 

Security response times were also reported to be ‘significantly shorter’ for companies with fully deployed security automation – these companies are as much as 27% faster than their counterparts at responding to breaches.

Security tools like OSINT platforms not only enable a faster breach response but a significantly more cost-efficient one as well, which as the security professional shortage persists is of absolute importance.

Signal OSINT platform gives you hyper-relevant real time alerts from surface, deep, and dark web sources.

Final Thoughts

With our increasing levels of digitisation, our growing reliance on the cloud, and the complexity of security systems paired with human error there are more attack vectors than ever before for hackers to exploit. 

A data breach could involve anything from publicly available data being scraped and sold off to spammers, to online banking and credit card information being stolen. The longer a data breach goes undetected the longer the threat actors have to utilize this data causing more harm as time goes on.

Having the right tools and processes in place will allow you to detect data breaches early or even prevent a data breach from happening in the first place. With the steadily rising cost associated with data breaches, this could save an organization millions in the long run.

How Can Organizations Combat Increasing Cybersecurity Gaps due to Remote Working During COVID-19?

Whether they like it or not, many organizations have been forced to adopt work from home practices to continue operating. Working from home isn’t new. In fact, between 2005 and 2017 the numbers of people that were able to work from home grew 156%. However, it has generally been seen as a bonus rather than a given and more traditional workplaces have been resistant. 

Despite the fact that 49% of office workers have never experienced working from home before, this experiment has largely been a success. Empowered with communication tools like Slack, Microsoft Teams, Google Hangouts. and Zoom, teams have had deep connectivity even from their own living rooms and many organizations have actually seen increased productivity.

Even so, the challenges of working from home are enormous and are invariably compounded by technological difficulties and poor home security practices.

Security teams, in particular, are feeling the pressure. With numerous workers now operating outside the corporate network security controls, new attack vectors have been opened up which are being exploited by cybercriminals.

Cybercriminals Taking Advantage of the Pandemic

Several security providers have put together data sets which show clear spikes in malicious activity since the beginning of the pandemic. McAfee created its own coronavirus dashboard which shows malicious detections quickly growing from the hundreds into the thousands over the last six months. The most common threat type has been Trojans with Spain and the US being clear outliers in the number of threats detected.

As of August, there were nearly 2 million malicious detections against over 5,500 unique organizations. McAfee go into detail about the families and types of attacks that they’ve seen a spike of cases in since the pandemic began.

WFH challenges for security teams

We’ve established that cybercriminals are taking advantage of the security breaches created by a sudden adoption of working from home but what is it exactly that makes working from home lees secure and what exactly are the security flaws threat actors are targeting?

Working from home doesn’t necessarily mean working from home, it could also mean working from anywhere and many workers have already figured that out. This means workers can (in theory) escape their houses and head out to cafes, restaurants, libraries or other public spaces with free WiFi networks. Zoom, with its virtual background feature, has incidentally supported this. The key issue with this is when workers operate on unsecured open networks. 

Ultimately security professionals have to try and ensure device security and data protection in the work from anywhere model - a challenge made significantly harder with over 50% of employees using their own devices during this period. IT teams have tried to make the security transition easier, with some 70% increasing VPN use among employees, however, 1 in 4 workers according to the Morphisec report were unfamiliar with their company’s security protocols.

This challenge for security professionals has resulted in the majority of security professionals seeing a sizeable increase in workload since their companies began corporatewide remote work. And while most of the transition to WFH went smoothly, respondents reported an increase of security incidents, with the top issues including a rise in malicious emails, non-compliant behavior by employees and an increase in software vulnerabilities.

What can be done to improve WFH security?

Security teams have had years to develop best practices for combating the ever-evolving cyber threat landscape. The sudden move to work from home though has shifted power away from them and brought a greater reliance onto workers who simply do not have the expertise to maintain proper cybersecurity protocols. 

Worryingly, 20% of workers said their IT team had not provided any tips as they shifted to working from home. This has opened exploitable attack vectors and introduced new challenges for security professionals. This though isn’t to say that there is nothing that can be done.

Step 1: Control the WFH Environment

This is all about educating employees about best practice and the reasons for these practices when working from home. For example, informing them not to use open networks.

Step 2: Control the WFH Computer

It’s a good idea to supply the computer being used so that you can install the proper security softwares and control access to sites which might offer security risks as well as maintaining control over permissions.

Step 3: Improve your Phishing Responses 

The crossover between home life and work life extends beyond the location. People are more likely to spend time on social media networks and working on private projects than they would be if they were in the office. This opens them up to more phishing campaigns so it’s important they know how to avoid falling for them.

Step 4: Restrict Remote Access to Sensitive Documents and Data

Lockdown permissions and access to sensitive documents and data. If they really need access they can communicate this need with you directly and you can ensure it is done securely and safely. 

Step 5: Monitor Surface, Deep and Dark Web for Emerging Cyber-Threats

Use an OSINT tool like Signal to monitor for cyber threats, planned attacks and data breaches.

Step 6: Encourager VPN Usage

VPNs are a simple and easy way to improve security. It’s worth ensuring the company has a quality VPN service that doesn’t slow a users internet connection unnecessarily as this might persuade workers to turn it off.

Step 7: Don’t Allow Split-Tunnels

Split-tunnelling allows a user to access networks through both the encrypted VPN service and a potentially unsecure network simultaneously.

The Role of Threat Intelligence for Improving Work From Home Cybersecurity

One of the key benefits of using an OSINT solution like Signal is the ability to create customized searches with Boolean logic to uncover hyper-relevant threats in real-time with SMS and email alerts. 

Ways that this has been used in the past to improve cybersecurity include:

• Early detection of data breaches. The average cost of a data breach in 2020 is $3.86 million. The earlier you catch a data breach the faster you can take action to mitigate the associated financial and reputational damage.

• Discovery of new cyberattack strategies, exploit kits, phishing tactics which were talked about or for sale on the dark web.

• Organizations have uncovered attacks that are yet to be carried out. This is true for both physical attacks against an asset or person as well as cyberattacks. For example, details of a phishing strategy and the targets within the organization were discovered after being talked about in a darknet forum. 

• Monitor employee online activity. For example, this can allow security teams to identify employees who have been targeted and even blackmailed by cyber attackers for access to company data.

6 Ways Signal OSINT is Improving Protection for Executives and VIPs

High profile executives and VIPs are more likely to receive threats of violence, be at the centre of negative online noise, and to be the target for both cyber and physical attacks. This, when paired with their busy schedules (which often involve travel), makes staying ahead of potential threats a particular challenge for their security teams. 

Attackers have a variety of reasons and goals for targeting executives and VIPs. It could be anything ranging from a reaction to company layoffs, to kidnapping for ransom. Whatever the reason though, security teams need to be able to spot the threats, understand the motives, and implement an effective response in a timely fashion.

In this article, we take a look at 6 key ways Signal OSINT is used today by customers to advance protection measures for high profile executives.

How Can Signal OSINT Improve your Executive Security?

Discover private information published online

There are several reasons that an individual might publish private information online. Often, it is in anger or as some form of revenge. The kind of information that has been found published online includes: names, email addresses and logins, physical address, details about an executives families, passport details, medical information, credit card and bank details, and SSN’s.

Having such information leaks opens up an executive to a wide range of potential threats. As a security professional, it is vital to know if and when there is a data breach so that the threat can be neutralized. The longer data is available online the more risk there is. For example, if card details are discovered online the bank can be contacted and the card cancelled.

Read: Detecting and Mitigating the Risks of Data Breaches 

Identify direct threats

Sometimes threat actors are more direct in the way they threaten executives. This could, for example, be a direct threat of violence through an email, instant messaging service or public forum like social media. While the majority of such threats come from so-called “keyboard warriors” there are some which will require further attention and action. 

For example, discussions might be uncovered on the dark web forum with details of a planned attack on an executive. With the prior knowledge of the attack action can be taken to reduce the associated risks.

One way to differentiate between someone that is simply venting their anger on a public forum and someone who genuinely might take action is to look for repetition of negative sentiment.

Emotional analysis

Emotional analysis gives data extra context which allows it to be better understood enabling a more effective and accurate response to the potential risks. 

It also allows you to differentiate between when a negative comment is simply that, a negative comment, or when it needs more serious attention, for example, it’s evolving into a physical threat.

Read: When Does Negative Sentiment Become a Threat? 

Misinformation is spreading about an executive

The spread of disinformation is problematic on a number of levels. For example, throughout COVID-19 misinformation has been spread regarding the virus, it’s root causes and best prevention practices. This has harmed efforts to curtail and control it. Another recent example is the role of misinformation in the 2016 US election. 

There are numerous reasons that individuals and organizations spread misinformation, it could be part of a phishing campaign or an international political assault, for example. Whatever the reason the results are almost always harmful. When an individual spreads misinformation around a CEO or other executive there are real ramifications for brand and reputation which need to be managed.

To combat misinformation organizations need to be equipped with the right tools and understand both what they’re looking for, and the reasons for spreading misinformation.

Disruptive events are planned which could prove a threat to executives.

Events such as protests planned at or near an office or manufacturing location could present logistical problems and delays as well as potentially devolve into riots which would represent a physical threat. Having intelligence on the events and any salient information regarding individuals or groups looking to create trouble will allow you to take appropriate precautionary measures and prevent a threat from escalating.

Travel risks

All travel comes with some inherent risk. However, it is more pronounced for executives who are at increased risk due to the regularity of their travel and high profile.

Additionally, events like extreme weather or terrorist action may make a destination unsafe. As such, having an OSINT solution such as Signal offering an early warning of any particular dangers will enable you to plan alternative routes and otherwise avoid high risk scenarios.

Read: 4 Aspects of Effective Executive Travel Risk Management 

Early warnings with real-time data

Using Signal you can create customized alerts filtered via specific keywords, phrases or even locations. We also have a built-in translation tool so that data can be searched across languages and automatically translated into your default language.

Additionally, you can run alerts through our emotional analysis tool to determine how much of a threat any particular alert is. Finally, get our optional Sapphire bolt-on and utilise our skilled data analysts to further refine your results. 

This approach allows your leave your intelligence gathering on autopilot and not only effectively reduce costs but vastly increase the scope of your monitoring ability and the overall amount of hyper-relevant intelligence at your fingertips. All of this allows you to gather actionable intel in realtime.

Find out more about Executive Protect with Signal…

6 Common Social Engineering Tactics and How to Prevent Them

Social engineering is an attempt by attackers to fool or manipulate others into surrendering access details, credentials, banking information, or other sensitive data. Once access is gained the general goal is to gain money. 

Recently, for example, Twitter was subject to a high profile social engineering attack. Attackers manipulated several Twitter employees to gain access to the platforms admin accounts. Once they got access they used the admin privileges to post a tweet saying “All Bitcoin sent to our address below will be sent back to you doubled!”  They posted on a number of celebrity and company profiles including Apple, Bill Gates, Elon Musk and Joe Biden.

Twitter shut the attack down quickly but not before the attackers got away with an estimated $120,000 USD worth of Bitcoin.

Social engineering is a creative strategy for attackers to exploit human emotion and ego, generally for a financial reward. It often forms part of other strategies as well such as ransomware. 

In this article, we take a look at some of the more common forms and tactics of social engineering as well as exploring just how an organization can protect itself from such an attack.

What are the stages of a social engineering attack?

In general, social engineering attacks are implemented in three stages.

1. Research. Attackers perform research to identify potential targets as well as to determine what strategies might work best against these particular targets. Attackers will likely collect data off company websites, LinkedIn and other social media profiles and potentially even in-person.

2. Planning. Once the attackers know who they will be targeting and have an idea of the targets potential weaknesses, they have to put together a strategy that is likely to work. The attacker needs to design the strategy and specific messages they will use to exploit the target’s individual weaknesses. Sometimes discussions surrounding plans can be found on darknet forums.

3. Implementation. The first stage of execution of their prepared strategy is often sending messages through email, social media messaging or some other messaging platform. Depending on their approach the entire process could be automated, targeting a broad number of individuals, or it might be more personal with the attacker interacting personally with their victim. Generally, they are aiming to gain access to private accounts, uncover banking or credit card details, or to install malware.

6 of the Most Common Social Engineering Attack Strategies

1. Phishing and Spear Phishing.

Phishing messages are designed to get a victim’s attention with an alarming or curious message. They work on emotional triggers and often masquerade as well known brands making it seem like the messages come from a legitimate source.

Most phishing messages have a sense of urgency about them causing the victim to believe that something negative will happen if they don’t surrender their details. For example, they might pose as a banking institute and pretend to be a fraud notice asking them to log into their account immediately, however, the email actually links to a fake login page.

Spear phishing is similar but with a more targeted individualistic approach.

2. Baiting.

A baiting attack generally pretends to offer something that the victim would find useful, for example, a software update. However, instead of a useful update or new software, it is, in fact, a malicious file or malware. 

3. Scareware. 

Playing on the targets fear this approach seeks to persuade the target that there is already a malware installed on their computer, or perhaps seek to persuade them that they already have access to their email address. This attack will then persuade the target to pay a fee to remove the malware. 

4. Pretexting.

In a pretexting atack the attacker creates a fake identity and they use it to manipulate their victims into providing private information. For example, the attacker might pretend t be part of a third-party IT service provider. They would then ask for the users account details and password in order to assist them with a problem. 

5. Quid Pro Quo. 

Similar to baiting, a quid pro quo attack promises to perform an action which will benefit the target. For example, an attacker might call an individual in company who has a technical support inquiry and then pretend to help them. However, instead of actually helping them they get the individual to compromise the security of their own device.

6. Tailgating.

Tailgating is a physical type of social engineering. It enables criminals to gain physical access to a building or secure area. An example of how this might work would be the criminal following behind someone authorized to access an area, they ask the person ahead to simply hold the door for them assuming an air of innocence.

How to Prevent Social Engineering

One of the key reasons social engineering is so difficult to protect against is because of the variety of ways it can be implemented. Attackers can be incredibly creative and this can make it very hard to spot a social engineering attack. Additionally, security professionals have to contend with skilful manipulation of the human ego.

Social engineering attacks exploit human behaviour. They target peoples fears or concerns often with messaging that centres around urgency attempting to encourage victims to take action immediately before they figure out they are part of a social engineering attack. Key to prevention then is remaining suspicious of emails, voicemails, or instant messages through platforms such as Facebook. 

Additionally, security teams need to stay ahead of the attackers. They need to be aware of each variation of a particular social engineering attack. Using OSINT tools, for example, they can learn about current messaging and strategies being implemented as well as potential exploits. Allowing them to take actions to mitigate evolving and emerging threats.

Increased awareness and vigilance though is only the first step. These attacks are common because they are effective, and they are effective because they take advantage of inherently human traits. Changing this human behaviour though doesn’t happen overnight. An internal education strategy needs to be put in place to regularly inform and teach employees about current social engineering strategies in an effort to reduce the potential for any employee to fall prey to one. In these ways, security professionals can mitigate the potential risks that surround social engineering attacks.