
The Regulatory Stack, Part 4: Engineering Under the AI Act - Article 15 Cybersecurity in Practice
10 minutes
How to turn the EU AI Act's stringent cybersecurity requirements into a clean, automated side effect of your existing platform engineering …
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10 minutes
How to turn the EU AI Act's stringent cybersecurity requirements into a clean, automated side effect of your existing platform engineering …

13 minutes
The EU AI Act binds providers and deployers to a continuous, evidenced verification posture by December 2027. Here is the operational …

9 minutes
The capital deployment decisions boards make this year will determine whether their autonomous AI systems are governable assets or …

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 …

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

6 minutes
Prompt guardrails are not governance. When AI agents can take real-world actions at machine speed, you need deterministic enforcement at the …

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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