AI Governance & Cybersecurity
The CISO and Artificial Intelligence
As AI systems proliferate across the enterprise, the Chief Information Security Officer must evolve from a defender of perimeters to a steward of algorithmic accountability and model risk.
Sajed Naseem has written on the CISO's evolving role in AI governance, arguing that artificial intelligence introduces new categories of risk that traditional security frameworks were not designed to address. CISOs must develop fluency in model risk, data provenance, and the security implications of AI-driven automation.
AI Risk Is a Security Problem
AI systems introduce risks that span security, privacy, ethics, and compliance. Adversarial attacks on machine learning models, data poisoning, model inversion, and the misuse of AI-generated content are security challenges that belong squarely in the CISO's domain.
Model Governance and Accountability
Organizations deploying AI systems must establish governance frameworks that address model provenance, training data integrity, bias and fairness, explainability, and ongoing monitoring. The CISO plays a critical role in ensuring these frameworks have teeth.
Securing AI Infrastructure
AI systems require the same security controls as any other critical enterprise infrastructure — and often more. Model repositories, training pipelines, inference endpoints, and the data that feeds them must all be protected against unauthorized access, tampering, and exfiltration.
AI-Enabled Threats
Adversaries are also using AI — to generate more convincing phishing content, automate vulnerability discovery, and accelerate attack campaigns. Security teams must understand how AI is changing the threat landscape and adapt their defenses accordingly.