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.

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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 two executive tracks below.

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Securing AI Systems in Production
Protect AI: Under Pressure
Led by a SANS Instructor, this workshop prepares leaders to secure AI systems operating in real-world production environments.
Participants examine real-world AI failure scenarios, including prompt injection, data processing, 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 industries, this workshop challenges participants to strengthen defensive strategy while maintaining business continuity and innovation.
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Executive Oversight and Accountability
Govern AI: Under Pressure
Led by a SANS Instructor, 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, 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 Cyebr42 leadership exercise.
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Schedule

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Govern AI Workshop – Vancouver

Led by SANS instructor Kevin Garvey, Senior Cybersecurity Practice Manager at World Wide Technology, 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.

11:30AM - 08:00PM EDT

In-Person

Presented by

Kevin Garvey

Senior Cybersecurity Practice Manager at World Wide Technology

Protect AI Workshop – Calgary

Led by Certified SANS Instructor Stephen Mathezer, Vice President Service Delivery and Innovation at iON and author of ICS410: ICS/SCADA Security Essentials, this Protect AI 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.

10:30AM - 07:00PM EST

In-Person

Presented by

Stephen Mathezer

Vice President Service Delivery and Innovation at iON

Govern AI Workshop – Toronto

Led by My-Ngoc Nguyen, CEO at Secured IT Solution, this Govern AI workshop prepares executives, management, and risk leaders to govern AI systems with clear accountability and defensible decision-making.

Grounded in leadership and governance concepts, 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.

08:30AM - 05:00PM EST

In-Person

Presented by

My-Ngoc Nguyen

CEO at Secured IT Solutions

Protect AI Workshop – Toronto

Led by Chris Cochran, Field CISO and Vice President of AI Security at SANS, this Protect AI workshop prepares leaders to secure AI systems operating in production environments. 

08:30AM - 05:00PM EST

In-Person

Presented by

Chris Cochran

Field CISO and Vice President of AI Security at SANS Institute

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.

Who This Is For

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.

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.

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.

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

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

SEC536: Adversarial AI - Penetration Testing AI Systems

AI Security Under Pressure

Built by SANS Institute and siberX

Securing AI Systems in Production

Executive Oversight and Accountability