Preparedness is Key to Mitigating Severe Weather Risks
Severe weather and natural disasters— such as tropical storms, wildfires, tornadoes, earthquakes, floods, tsunamis, and hurricanes— put people and organizations across the globe at risk every year. The level of preparedness and response to these severe weather events can often mean the difference in life or death. In addition, organizations who prepare and respond quickly to weather disasters can prevent loss of revenue and other costs by maintaining continuity of operations.
Advance warning and accurate real-time data about severe weather and natural disaster threats is a critical part of your risk profile. Signal has advanced tools to enable you to stay alerted as quickly and as early as possible to severe weather threats relevant to your people, buildings, supply chain, and other assets.
Brand reputation is also at stake during a weather emergency. Handled efficiently, it’s an opportunity for organizations to shine and prove their resilience. Handled poorly, the public is unlikely to forgive or forget the organization’s response or lack of response. Clear guidelines and properly gradated alert levels allow you to respond effectively and efficiently every time—no matter what weather emergency comes your way.
Get Notified Early About Severe Weather Threats
Every second counts when dealing with emerging severe weather risks. As our collective ability to track and predict many severe weather events due to artificial intelligence improves each year, the data comes faster, earlier, and in greater quantity. Only when this data is accurately and relevantly mined do you have more opportunities to increase preparedness and speed of response. Otherwise, the overload of information only causes noise.
Signal uses open-source intelligence to monitor what’s important to you 24/7. Customize searches and get notified via SMS and email when vital severe weather information is detected that’s relevant to your organization. Leverage advanced customizable filters to reduce irrelevant noise so that you can focus on the threats that matter to you. Quickly search for real time updates on developing situations or set up complex boolean searches to monitor severe weather incidents, and actively drive prevention. The alternative is to waste an enormous amount of time and money randomly browsing the web and other sources for weather information—usually too late. Such a haphazard approach causes big gaps in risk awareness.
Verify Information to Make Confident Decisions & Act Quickly
Misinformation can cause panic during a severe weather emergency. This misinformation can spread rapidly through both social media and even through more trustworthy news sources during emergencies. Social media posts provide updates to the public which are often helpful; however, citizen-sourced information can also lead to the spreading of falsehoods. It’s important to keep your team ahead of the news— including fake news, and even scammers trying to capitalize on the disaster. To tackle this, the first thing any organisation needs is accurate, relevant, vetted, trustworthy information.
Signal enables organizations to monitor and manage large amounts of data from a plethora of different data sources across the surface, deep, and dark web. This, paired with advanced filters and boolean logic means that security teams are empowered to identify disinformation, discover patterns, and practically respond to these potential and evolving threats during a severe weather emergency.
Maintain heightened situational awareness before, during, and after the event.
Increase situational awareness by corroborating and contextualizing severe weather data. Monitor supplier production facilities and transport routes, and continually assess and reassess the evolving threat landscape and update your alert level guidance accordingly.
Customer Example
During a recent tornado, one customer used Signal to help safeguard a manufacturing facility in the U.S. when a tornado landed near the town where most of their employees were based. Luckily, there were no casualties. The customer used Signal to gain intelligence about:
The scale of the tornado
The impact it was going to have on their employees
The impact it might have on their overall operation
This intelligence was extremely useful to the organization in recognizing threats being proactive. The intelligence helped them to:
Protect lives (people)
Protect assets (facilities)
Maintain business continuity (resilience)
Protect reputation (brand)
To learn more about preparing for severe weather emergencies, request a full demo