It is always tricky to compare commercial networking challenges with those faced by federal leaders. For example, the military and intelligence agencies require traffic encryption. How can an organization detect threats while observing this traffic?
Today, we discuss Vectra AI's network threat detection capabilities with Wes Nagel, DoD sales manager, and Gage Cowger, a security engineer.
With technology from Vectra AI, network traffic can be analyzed for timing, size, direction, and protocol use. These can give behavioral patterns for network visibility without worrying about encryption.
Cowger will argue that behavioral patterns are more effective than signatures, especially in mitigating alert fatigue. Signatures can overwhelm monitors with false positives; Vectra's AI and ML capabilities provide trustworthy alerts.
This ability positions Vectra AI to adapt to new networking initiatives, such as software-defined and OT/IoT networks, which will be prevalent in the future.
The discussion also touches on the future of network detection, emphasizing the need for real-time, behavior-based detection to counteract advanced threats and adapt to evolving networks.
Connect to John Gilroy on LinkedIn https://www.linkedin.com/in/john-gilroy/
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