Traditional IT security is predictable, but AI is not. In an era where AI learns, evolves, and operates on data-centric logic, the standard playbooks for network and infrastructure security are no longer enough. Enter ISACA’s Advanced in Artificial Intelligence Security Management (AISM), a framework designed to bridge the gap between traditional security and the unique risks of the AI era.
In this episode, we explore the shift from application logic to data-centric AI security. We dive into the complexities of "Poisoning" attacks, prompt injections, and the critical importance of human-in-the-loop governance. Whether you're a CISSP, CISM, or an aspiring AI security leader, this is your guide to mastering the integration of AI into your enterprise strategy.
🤖 What You’ll Learn:
Beyond Traditional IT Security: Why predictable application behavior is being replaced by evolving AI models that require a constant security refresh.
The "Poisoning" Threat: Understanding how attackers target centralized data lakes to manipulate model outcomes.
Decoding the AAISM Certification: A step-by-step breakdown of the three core domains: Governance, Risk, and AI Technology.
Privacy & Hallucinations: Managing the specific risks of PII data leaks and the unique challenges of model inversion and extraction.
Building an AI Council: Why you need an ethics committee and a board-level accountability structure for responsible AI deployment.
The Role of the AI Chief Officer: How security professionals can pivot into this high-impact leadership role by mastering AI infrastructure and operations.
🎧 Tune in to discover why "governance" is the most powerful tool in your AI security toolkit and how to stand out in the 2026 job market.
