
The Regulatory Stack, Part 1: AISVS Has 14 Categories. GATE Has 16 Controls. Here Is the Map.
11 minutes
AISVS tells you what to verify. The AI Act tells you that you must. Neither tells you how to enforce. This is the engineering map between …
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11 minutes
AISVS tells you what to verify. The AI Act tells you that you must. Neither tells you how to enforce. This is the engineering map between …

9 minutes
The Foundation's new strategic plan is not a community update. It commits OWASP to setting the technical floor for AI security, …

11 minutes
The series finale. Across four posts, we identified three machine-speed problems - discovery, intelligence, identity - that share the same …

13 minutes
Non-human identities now outnumber humans by 40:1, 100:1, and in hyper-automated environments by 500:1. When AI agents do 80–90% of an …

11 minutes
Anthropic's $100M Project Glasswing is the first attempt to flip the economics of AI-driven vulnerability research before offensive …

19 minutes
AI-driven discovery has lowered the cost of finding bugs by an order of magnitude. The cost of proving which ones are actually exploitable …

7 minutes
Claude Mythos surfaced 271 vulnerabilities in a single Firefox evaluation pass. The number isn't the story - the collapse in the cost of …

10 minutes
The four pillars of the autonomous enterprise describe the operating model. GATE names the framework that makes it engineerable.

11 minutes
Intelligence, data, and control only create advantage when the process layer can keep up. Adaptive workflows are where autonomy becomes …

12 minutes
As enterprises move to machine-speed execution, governance has to move with them. That means embedding control into the operating fabric …

10 minutes
Autonomy depends on data the enterprise can act on. The clean data core is what turns trusted context into operational execution.

10 minutes
Agentic AI marks the shift from assistive tools to execution systems, but only when supported by trusted data, governance, and secure …
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