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Explore 2026 ZKast #153 - AI vs. AI Cyber Attacks: How Frontier Models Change SecOps | Zscaler at BlackHat with 36,824 views, 1 likes, and 0 comments. Experience the impact of this video content that has captured audience attention.

At Black Hat 2026, Zeus Kerravala (ZK Research) sits down with Deepen Desai, EVP of Cybersecurity at Zscaler, to discuss the sudden rise of agentic AI in cybersecurity and how frontier models are fundamentally altering threat landscapes. Deepen shares findings from Zscaler Threat Labs' testing on frontier models like OpenAI’s GPT-5.5 and Project Glasswing's Mythos preview. Discover how synthetic attackers can now chain multiple CVEs in sub-30-minute timelines, bypass patch updates, and execute multi-step exploits—plus the specific defensive architectures like Zero Trust and integrated deception needed to respond at machine speed. Timestamps 00:00 – Intro: Black Hat 2026 01:31 – Stress-Testing Frontier Models: Black Box vs. Informed Adversary Testing 03:30 – Chaining 12 CVEs & Generating Functional Exploit Code 04:32 – Why AI-Generated Patches Require Iterative Testing 09:05 – Why Deception Technology Stops AI-Driven Exploits 10:27 – Keeping the Human in the Loop During Sub-Minute Incidents 11:32 – 3 Steps to Reduce Attack Surface (Zero Trust & Virtual Patching) 15:02 – Advice for CISOs: Shifting Left & Upgrading the SDLC 16:48 – Replacing Legacy Security Tooling with Agentic SOC Automation 18:34 – Conclusion & Wrap Up #cybersecurity #AIInSecurity #BlackHat2026 #ZeroTrust #Zscaler #EthicalHacking #SecOps #ThreatIntelligence @zscaler @BlackHatOfficialYT

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