What is OSINT and how is it used for corporate security?

There are good reasons why the fictional characters like Varys (Game of Thrones) are so influential in their respective worlds. The more information you have the more you can tailor and optimise strategies for your preferred outcome. However, whereas Varys has to contend with political scheming, assassination attempts and dragons, the modern (and real) world has a much broader plethora of potential attack vectors, many of which were unimaginable just 20 years ago.

Thankfully for security professionals, the broadening net of threats exists in a symbiotic relationship with intelligence sources and security tools. What this means is that while, yes, there are now more threats to contend with, there are also more solutions and tools. For example, artificial intelligence (AI) enables Centaur approaches that far exceed human or machine only results. 

In this article, we take a look at how Open Source Intelligence (OSINT) can be and is being used to arm security teams with the ability to gather and analyse vast quantities of data and then enact effective plans to mitigate damage and even prevent threats. 

The centaur model combines machines with human insights to get optimum results.

The centaur model combines machines with human insights to get optimum results.

What is OSINT?

OSINT, as the name suggests, is data gathered from all publicly (openly) available data sources. These data sources could be anything from government records or archives, online discussion forums, blogs, social media posts, or the comments on those posts

OSINT allows you to collect data from all of those sources at once, and because of the sheer amount of information that is shared and discussed continuously on every fathomable topic, it is an incredibly powerful tool. There are billions of historical records and millions more being posted every day. You can use OSINT to identify physical threat made against your organization or executives, discover data breaches, uncover terrorist plots and even get breaking news as it is happening.

In many situations, expert data analysts with OSINT tools can identify malicious actors and discover relationships, information which can be used to enhance a privacy and security plan.

How Organizations use OSINT

The need for organizations to employ OSINT as part of their corporate security processes is becoming increasingly more evident. Interestingly though the use of OSINT has been neither formalised nor widely adopted. It often takes a particular scenario to unfold before they even consider it. 

A common example is a data breach. According to the Ponemon Institute’s 2018 Cost of a Data Breach Study, the average amount of time for a company to detect a data breach was 197 days. More often than not, the organization was not the first to know either. Utilising OSINT allows you to learn of data breaches as soon as discussions begin online, for example, the hacker offers up your data for sale.

This is just one way in which OSINT is used by businesses. The use of intelligence is immensely versatile. You can detect physical threats to assets or staff, determine travel risks, discover brand hazards, secure your social media channels and cybersecurity and more.

Despite the versatility of applications for OSINT tools it still often takes a worst-case scenario for an organization to decide to finally employ OSINT solutions.  

Applications of OSINT as Cyber Intelligence

Most people freely share a large amount of data about themselves. In fact, in this day and age, it’s hard not to share your data. For example, almost everyone has a phone number, this phone number is likely connected with your name, address, date of birth, and email address. It might even be linked with your broadband connection and subsequently your IP address. 

As an example, in 2019 T-mobile had a significant data breach. Thankfully, it appears they spotted and responded quickly, but not before some 1 million records were exposed. They were able to mitigate the damage but not prevent it. Other companies have historically been less quick to respond such as TerraCom and YourTel America who had to pay out $3.5 million USD collectively in damages in 2015 after their data breaches. Organizations also need to remember how everyday activities expose other forms of data such as shopping habits through credit card usage and location through fitness apps. 

what is OSINT?

Intelligence isn’t just important for detecting breaches or hacks. It is also vital if organizations want to protect their staff from physical threats or from being exploited via phishing scams. For example, a company’s employees will likely all have social media accounts such as a LinkedIn account which details their roles and responsibilities. This information can be paired with information from other social profiles or information shared online and can, when used properly, become valuable intelligence on how an organization runs, who’s responsible for what, and even who a malicious actor should target.

Because of the various methods that security teams can use intelligence to protect a businesses interests having a dedicated team, armed with powerful OSINT tools like Signal, could save them from serious reputational and financial damages.

Examples of threats that Signal OSINT can detect and help protect against

OSINT results

The Results of Employing Powerful OSINT Tools

Experienced hackers and cybercriminals will understand the public nature of the channels and as such are likely to attempt to avoid actions that expose their intentions. However, OSINT doesn’t stop at the surface web, tools like Signal can give analysts and security teams access to data from sources such as the dark and deep web and even private dark web forums as well as more obscure surface websites. 

The purpose of OSINT research is to provide teams with a thorough foundation of knowledge. Teams can subsequently use these insights to develop actionable plans to either prevent a threat from fully emerging, or minimise the damages of a current or recent attack.

One of the key issues that security teams and analysts face is the sheer amount of noise which 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 applying boolean logic as well as features such as our emotional analysis tool.

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