Security, Risk, and Governance Leaders

Professionals responsible for defining, enforcing, and defending AI security and governance decisions. This includes leaders in security architecture, risk management, compliance, AI governance, and regulatory readiness.

Security Operations and Technical Leadership

Leaders responsible for detecting, responding to, and containing security incidents involving AI systems. This includes SOC leadership, incident response leads, application and cloud security leaders, and AI or ML security architects.

AI, Data, and Platform Owners

Teams that design, deploy, and maintain AI systems in production, including LLM, RAG, and agentic workflows. This includes heads of AI, ML, data engineering, platform ownership, and MLOps or LLMOps leadership.

Business and Operational Leaders

Leaders responsible for AI-enabled products, digital transformation, fraud prevention, operational resilience, or technology risk who must balance innovation with accountability and business impact.

Who This Workshop Is Not For

These workshops are not designed for students, entry-level practitioners, or individuals seeking introductory AI concepts, academic instruction, or vendor demonstrations.

AI Security Under Pressure

NOW // AI delivers one of three immersive, hands-on executive workshops developed by SANS Institute and siberX to protect, operationalize, and govern AI systems under real-world pressure. Join us May 27 in Toronto.

View Workshops on siberX

Built by SANS Institute and siberX

These workshops combine SANS Secure AI Blueprint principles with siberX’s high-fidelity simulation environment to deliver hands-on, decision-driven training for leaders and practitioners responsible for AI systems in production. Choose the workshop that best aligns with your AI oversight and enterprise risk priorities. Review the three executive tracks below.

Slide 1 of 3
Securing AI Systems in Production
Protect AI: Under Pressure
Led by SANS Senior Instructor Jason Lam, Director at World Wide Technology and author of LDR520: Emerging Trends for Cyber Leaders: AI, Cloud, and Cybersecurity Strategy, this workshop prepares leaders to secure AI systems operating in production environments.
Participants examine real-world AI failure scenarios, including prompt injection, data poisoning, over-permissive agents, and model compromise. The session emphasizes control validation, response coordination, and executive accountability when AI systems are under operational pressure.
Grounded in enterprise experience across regulated industries, this workshop challenges participants to strengthen defensive strategy while maintaining business continuity and innovation velocity.
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Slide 2 of 3
Using AI to Regain Operational Speed
Utilize AI: Under Pressure
Led by SANS instructor Foster Nethercott, drawing on themes from SEC535: Offensive AI Attack Tools and Techniques, this workshop prepares security experts to apply AI in cyber operations, penetration testing, and red teaming, informing defense as well.
Built on operational concepts from SEC535 participants learn where AI-enabled attackers exploit speed gaps, how to safely automate cybersecurity workflows, and how to validate cyber defenses under real-world pressure and in a world of AI-driven tools.
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Slide 3 of 3
Executive Oversight and Accountability
Govern AI: Under Pressure
Led by SANS instructor Kevin Garvey, drawing on themes from LDR516: Strategic Vulnerability and Threat Management, this workshop prepares executives, management, and risk leaders to govern AI systems with clear accountability and defensible decision-making.
Grounded in leadership and governance concepts reflected in LDR516, participants translate technical AI risk into executive-level strategy, establish ownership across teams, and practice making high-impact decisions under regulatory and operational pressure. Participants will engage in gamified learning via the SANS Cyber42 leadership exercise.
Explore Govern AI on siberX

Learning Outcomes

What participants will be able to do after completing an AI Under Pressure workshop. These outcomes apply across the Protect AI, Utilize AI, and Govern AI workshops.

Identify Real AI Risk

Pinpoint where AI systems introduce meaningful security, operational, and governance risk across LLMs, RAG pipelines, agentic systems, and AI-enabled workflows.

Decide Under Pressure

Make informed decisions by balancing technical realities, business impact, regulatory exposure, and accountability in high-stakes AI scenarios.

Apply Secure AI Principles

Apply SANS Secure AI Blueprint principles to real-world, production environments rather than theoretical models or lab-only scenarios.

Enable Defensible AI Deployment

Support AI deployment, pause, or shutdown decisions based on evidence, shared decision language, and operational readiness, not assumptions or vendor claims.

Immediate Business Takeaways

What organizations gain when participants return from an AI Under Pressure workshop.

Clarity on AI Exposure

Gain a clear view of where current AI systems are exposed to meaningful risk, and which issues demand action now versus later.

Prioritized Action Plans

Leave with a practical, prioritized plan for what to secure, automate, govern, or pause based on real operational constraints.

Faster, Aligned Decisions

Establish shared decision language across executives, managers, and technical teams, reducing friction and delay during AI-related incidents.

Defensible AI Decisions

Increase confidence in approving, deploying, or stopping AI initiatives based on evidence, accountability, and readiness rather than assumptions or vendor claims.

SEC595: Applied Data Science and AI/Machine Learning for Cybersecurity Professionals