01
Jul
The Most Dangerous AI Identity Is Not Human
11 min read
AI Security
AI Security explores the risks, architectures, controls, and governance required to secure artificial intelligence across the enterprise. Coverage includes generative and agentic AI, LLMs, models, data, identities, tools, MCP, authorization, supply chains, attacks, and emerging security architectures—with a focus on what CISOs need to understand, govern, and defend.
30
Jun
AI Compliance Is Not the Same as AI Control
Policies, registers and committees are necessary. But they do not prove control. AI governance becomes real only when organizations can observe what changes, detect what goes wrong, intervene quickly and explain what happened after the fact.
8 min read
29
Jun
Your CISO Has Eyes and Ears. Your AI Officer Probably Does Not.
AI governance cannot rely on declarations alone. While the AI Officer coordinates policy and accountability, the CISO sees operational reality through telemetry, detection and incident response. Without security signals, governance becomes paper-based trust.
9 min read
17
Jun
AI in the SOC: Why We Didn’t Gain Control — We Scaled Complexity
AI promised control, speed, and automation in the SOC. Instead, many organizations scaled complexity. Why the future of security operations is not about more intelligence—but about governance, explainability, and decision quality.
6 min read
10
Feb
The CISO PLAYBOOK – Leadership, Strategy, and Innovation
A curated CISO Playbook on leadership, strategy, innovation, resilience, and security culture — designed for cybersecurity leaders who must translate risk, technology, and governance into executive decisions.
3 min read