Defending at Machine Speed: Building the AI-Ready Federal SOC
ABOUT THE WEBINAR
Cybersecurity no longer operates on human time. AI has collapsed the gap between reconnaissance and breach, arming attackers with well-crafted attacks targeting critical systems like AI platforms faster than any analyst can respond to. At the same time, "harvest-now, decrypt-later" adversaries are quietly siphoning encrypted federal data today, wagering that tomorrow's quantum capabilities will unlock it — turning post-quantum cryptography from a future compliance checkbox into a present-day mission risk.
The defender's challenge has only grown harder. They must proactively secure new AI platforms such as LLMs, Generative AI, and Agents while also investigating increasing complex incidents across networks, cloud, applications, AI, and identity domains. Multiple domains that legacy, console-hopping SOCs were never designed to correlate end-to-end. The result is a widening imbalance: exploits expanding and attacks accelerating while people-intensive operation centers drown in alerts and swivel-chair ops.
This webinar takes a candid, no-hype look at how leading federal security teams are transforming their security operations. Rather than bolting on yet another point product, these teams are converging security operations onto a unified approach — bringing network, cloud, endpoint, identity, and AI security into a single, coherent defensible fabric. We'll walk through proven design patterns that let agencies protect, detect, investigate, and remediate at the speed of the mission, while laying the groundwork for a quantum-resilient future.
Attendees will leave understanding where their agency is already ahead, where the dangerous gaps still hide, and how to build the case for a platform-driven, AI-augmented SOC that scales without simply adding more people.
Key Takeaways:
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Convergence over sprawl — how consolidating network, cloud, endpoint, identity, and AI security onto a single platform delivers the end-to-end visibility that siloed tools cannot
- Investigating across all five domains — practical patterns for correlating incidents across networks, cloud, apps, AI, and identity to cut mean-time-to-response dramatically
- Fighting AI-speed attacks (Precision AI) — why stopping well-crafted, machine-generated threats requires embedding AI directly into detection and response rather than relying on manual triage
- Scaling the SOC without scaling headcount — a realistic roadmap for an AI-augmented SOC that amplifies your analysts instead of exhausting them
- Getting ahead of the quantum threat
Speakers

Swish

U.S. Customs and Border Protection

National Institute of Standards and Technology

FedTec
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