● Topic
AI Security
Securing LLMs, agentic systems, and enterprise AI — threats, controls, red teaming, and assurance.
3 articles
← All articlesAI Red Teaming: A Risk-Based Methodology for When, Why, and How
AI red teaming has emerged as a foundational security control for organizations deploying artificial intelligence — analogous to penetration testing for traditional applications, but distinct in scope, technique, and risk profile. Unlike standard security assessments, AI red teaming…
Securing Enterprise AI: An Identity-First Approach
As enterprises move from AI pilots to agentic systems that act on their behalf, identity becomes the control plane. Here is how I think about securing AI agents with the same rigor we apply to human and workload identities.
Using AI to Optimize SOC Operations
Security Operations Centers are drowning in alerts while the metrics that matter — mean time to detect and respond — barely move. Here is how AI-driven automation and analytics change the operational math.