Wednesday, October 22, 2025

Join the AI Threat Research vSummit - Nov 19

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It's time to bring the AI-based attacks front and center, to understand how best to stop them. On November 19, the Pentera Labs AI Threat Research Summit will be bringing fresh research, exposing how adversaries are weaponizing AI and what we can do as defenders to stop them.


Secure your spot today to hear directly from our cybersecurity researchers - the teams testing AI-powered threats in live environments. You'll see what today's defenses miss and where tomorrow's risks will emerge.



Agenda Preview

🔹Keynote: How AI Is Transforming Cybersecurity Adversarial Testing

Dr. Arik Liberzon, CTO & Founder, Pentera


AI is reshaping how organizations approach red teaming. In this keynote, Pentera's Founder and CTO shares his vision for "Vibe Red Teaming" - where natural language inputs and agentic APIs power adaptive, on-demand adversarial testing.


🔹Orchestrating Your Breach: The Unseen Risks of Agentic AI Development Adoption

Reef Spektor, VP Research, E.V.A. Information Security


AI agent frameworks like CrewAI and Flowise are rapidly spreading inside enterprises. This session reveals how low-friction orchestration opens up new attack surfaces — and what to test before it's too late.


🔹Not playing by the rules.mdc: Leveraging MCP rules for profit

Yahel Hai, Security Researcher, Pentera


Rule files used by AI agents and MCP servers are being turned into attack tools. This session shows how attackers exploit them to bypass controls and extract data — all without writing code.


🔹 Reverse Engineering at Machine Speed

Matan Abutbul, Security Researcher, Pentera


Reverse engineering is no longer a manual art. This session demonstrates how AI models now analyze binaries at scale to expose hidden behaviors and uncover new LOLBins missed by traditional tools.


Whether you're a CISO, red teamer, cybersecurity researcher, or analyst, register today and gain a front-row view into how AI is shaping real-world threats - and how to prepare for them.

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