Valid AI identities don't raise alarms. Join us to explore why authorization, not authentication, is the key to agentic security.

Topic: Authenticated, Authorized, Unaccountable: Governing AI Agents Before They Act

Speaker 1 : Nadav Cornberg - Co-Founder & CEO, Eve Security

Bio: Nadav brings 20 years of experience in product development and engineering to his role as Co-founder and CEO of Eve Security. He began his career in security, spending his first decade at RSA and Check Point, before moving into physical access security within gaming and hospitality. Now back in cybersecurity, Nadav is driven by a passion for understanding operational pain points and translating them into automated software solutions, currently focused on securing AI agents operating within organizations.

Speaker 2 : Mike Geehan, Founder, Triarch Security Advisory Services

Bio: Experienced Information Security Executive with 20+ years of expertise standing up robust, multi-cloud enterprise security, IT, and GRC programs from the ground up. As the former Head of Security, GRC, and Technology at Cockroach Labs and founder of Triarch Security, Mike specializes in aligning security strategy with business growth - securing vital compliance certifications, safeguarding AI model supply chains, and turning security into a sales accelerator.

Come ready for actionable cybersecurity takeaways, strong peer conversation, and a focused midday program.

📋 Please Note

Time: 11:30a - 1:00p
Registration is required in advance; seating is limited
Ensure you enter your ISSA Member ID into the Promo Code field to receive discounted rate.
Need ADA accommodations or dietary support? Email events@ntxissa.org

Eve Security delivers runtime security and observability for agentic AI, enabling teams to monitor, analyze, and control real-time interactions across self-built and third-party agents, systems, and protocols while enforcing policies and reducing risk without slowing innovation. Eve's patent pending Agent-in-the-loop identifies anomalies and interrogates AI agents in real time to understand intent, validate actions, assess risk, and explain decision-making before, during, and after agent interactions.