AI Management Systems for CISOs: Navigating Governance, Risk, and Compliance
Overview
This session equips CISOs with practical strategies to safely adopt and oversee AI within their organizations. It focuses on governance frameworks, risk management practices, and compliance obligations that ensure AI systems are trustworthy, secure, and aligned with business goals.
Who Should Attend
- Current and aspiring CISOs
- Senior IT/Security Leaders
- Executives
Training Topics
AI in the Enterprise Security Landscape – Opportunities, risks, and threat vectors specific to AI
AI Governance Models – Policy development, accountability structures, and oversight mechanisms
Risk & Impact Management for AI Systems – Threat modeling, bias detection, adversarial resilience, and vendor risk
Regulatory & Compliance Frameworks – Key global standards and laws (GDPR, EU AI Act, NIST AI RMF, ISO/IEC 42001)
Responsible & Ethical AI Use – Bias mitigation, transparency, and explainability in decision-making
Practical Roadmap for CISOs – AIMS implementation guidelines & integrating AI governance into existing GRC strategies
Interactive Simulation
YEP-HAVOC (YEet Prompts at the Cybercrime Helpline): Participants hack the LLM meant for cybercrime helpline, using prompt engineering
Key Outcomes
- Understand the emerging risks and threat landscape unique to AI systems
- Learn governance models for responsible AI adoption (policies, accountability, oversight)
- Explore regulatory and compliance requirements relevant to AI (e.g., GDPR, NIST AI RMF, EU AI Act)
- Identify risk management practices to mitigate AI misuse, bias, and vulnerabilities
- Build a roadmap for aligning AI adoption with enterprise GRC (Governance, Risk, Compliance) objectives