Countering AI
AI is reshaping cybersecurity, expanding the attack surface, accelerating threats, and forcing the profession to rethink how it defends.
This page brings together RSAC™ Conference sessions and on demand webcasts from leading practitioners, researchers, and industry experts exploring what AI means for security: from offensive techniques and red team simulations to governance frameworks and AI-assisted defense.
Whether you're building AI into your security workflows or defending against those who already have, these resources will help you stay ahead.
RSAC Conference Sessions and On Demand Webcasts
The sessions and webcasts below don't just cover AI in theory; they go deep.
The Cybersecurity Framework and AI
Katerina Megas, NIST and Julie Snyder, NCF and MITRE
NIST is developing a Cyber AI Profile using the cybersecurity framework to help organizations understand and address the cybersecurity risks and opportunities AI introduces.
10 Common Flaws in Incident Response Plans
Alex Waintraub, VMG Health
This session breaks down the top 10 common flaws seen with IR plans and offers practical advice to fix them.
Hacking-Back the AI-Hacker: Defending Against LLM Cyberattacks the Cool Way
Dario Pasquini, Cracken
This talk will introduce Mantis — a first line of defense designed to counteract AI-driven cyberthreats by exploiting inherent vulnerabilities in LLMs.
Shaping the Future of AI Security Through Collaboration
Jamil Jaffer, Paladin Capital Group; Sandra Joyce, Google; Jason Clinton, Anthropic; and Matt Knight, OpenAI
Sit down with key leaders who are driving AI security to protect the integrity of AI systems and enable the benefits of AI tools.
Greetings from the Red Team!
Michael Allen, Black Hills Information Security
This session breaks down a social engineering attack built on the principle of striking where defenders are blind that has breached countless high-security environments.
Weaponizing AI: Threats, Countermeasures, and the Global Response
Steve Black, Texas Tech University School of Law
From deepfake fraud to model inversion espionage, we’ll examine real-world AI threats and use a response matrix to evaluate regulatory, legal, social, and technical countermeasures.
Gartner Top Strategic Technology Trend 2026: AI Security Platforms
Dennis Xu, Gartner
Learn how to use AI security platforms to help mitigate AI security risks such as data leakage, topic abuse, prompt injection, and system prompt leakage.
Leveraging AI for Cybersecurity Workflow Augmentation
Gideon Aina, JPMorgan Chase
From adoption stages to a live threat modeling demo, this session gives security professionals a practical roadmap for integrating AI into their cybersecurity workflows.
Surviving the Robot Apocalypse II: LLM Attack and Defend
J. Wolfgang Goerlich, Oakland County Michigan
As AI systems take on greater control over critical decisions, this session explores the offensive and defensive strategies that may define the next frontier of cybersecurity.