The concept of EDR is flawless, but complex federal environments present distinct operational hurdles.
In this week’s episode of Feds At The Edge, we dive into Endpoint Detection and Response (EDR) in the federal government and explore how expert-suggested approaches can help agencies overcome today’s barriers.
While EDR provides continuous monitoring and automated containment across agency devices, federal civilian networks face unique challenges in practice. Broadcom’s Paul Miller admits that EDR’s core weakness is its reactive nature, discussing how AI can be applied to “move left” of an attack by leveraging historical data to predict threats before they strike. Meanwhile, Broadcom’s Sam Romo breaks down the difficulty of defending against machine-speed attacks as AI increases the velocity of standard signature-based threats. Together, the panel examines how today’s AI-assisted, adaptive EDR can serve as a vital protective layer for the fragile legacy systems embedded throughout agency cybersecurity stacks.
Tune in on your favorite podcast platform for practical insights on how federal agencies can strengthen endpoint security and stay ahead of increasingly sophisticated threats.
To view this webinar: Cyber Defense in the AI Era.
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