2020 delivered a blunt reminder: crisis situations sometimes cascade relentlessly and can persist for months. It also tested the limits of security analysts to keep up with the volume of data each crisis created.
As the pace and magnitude of critical events mount and business happens on an increasingly global scale, protecting your people, places and property only gets harder.
Ditto for the job of security analysts, many of whom struggle to collect, process and interpret data amid a sea of noise. They lack time, resources and reliable information.
So what’s the solution?
Filter Out the Noise with AI-Powered Risk Intelligence
For true risk intelligence, you need a solution that can collect complex data, track feeds from many sources, cut through the clutter and issue reports you can act on in real time.
Leveraging the super-computing power of machine learning to filter out the noise empowers your analysts to take faster, more decisive action. Your analysts know more, sooner, and gain a greater understanding of both the present and future implications of the situation at hand. That means you can act on what’s relevant, whether you’re sending out an alert or sending in personnel.
Here are three key benefits of AI-powered risk intelligence:
- Manage massive data volumes. AI-driven risk intelligence aggregates complex data on any given situation, tracking feeds from tens of thousands of vetted global data sources. Then it sorts through the noise and synthesizes and distributes the data so you can act on it in real time.
- Empower analysts to work smarter. Analysts face a nearly impossible task when tracking critical events across time zones, sorting through the noise and tying events to the location of your employees and assets. Even a room full of experts would be hard-pressed to determine what’s relevant — no matter how many you hire. AI-driven risk intelligence bolsters the increasingly complex job of analysts, freeing them up to work smarter.
- Take action with clarity, confidence and control. Risk intelligence not only tracks critical events in real time, but it also maintains dynamic maps of your facilities, logistics and personnel movements. That makes it easier for your response team to warn of potential impacts, take proactive security measures and ensure operational continuity.
As the daily volume of critical events intensifies, it will only continue to diminish the ability of organizations to keep up. The question isn’t why your organization should adopt AI-powered risk intelligence. It’s when.