The AI Governance Gap in Regulated Industries
Most regulated companies don't have an AI governance gap, they have a void. Here's what closing it actually requires.
Insights
Practical analysis for security and compliance leaders navigating AI adoption. No vendor content, just what we're seeing on engagements and in the threat landscape.
Why Your VM Program Isn't Ready for AI-Speed Attacks
AI is compressing the window between vulnerability disclosure and active exploitation. Monthly patch cycles weren't built for this.
Shadow AI: The Risk Already Inside Your Perimeter
The AI tools your organization didn't approve are already in use. The question is how large it is and what it's touching.
ISO 42001: What It Actually Requires and Why It Matters Now
The first international standard for AI management systems. Customer questionnaires are already asking about it.
The OWASP LLM Top 10: A Practitioner's Guide
The best available taxonomy for AI system risks, but most teams are reading it wrong. A practitioner's view for regulated environments.
Securing the AI-Augmented Development Workflow
Your engineers are already using Cursor, Claude Code, and Copilot. Here's what a real governance program looks like.
Prompt Injection: The Attack Vector Most Teams Aren't Ready For
The most widely exploited vulnerability in deployed AI systems, and most organizations don't have detection built for it.
GxP Validation for AI Systems: What Regulators Will Expect
The FDA and EMA are watching AI in regulated manufacturing and clinical operations. What organizations need to be documenting now.
Building an AI Tool Approval Process Developers Will Actually Follow
Most governance fails not because the policy is wrong, but because the process is so slow developers route around it.
The Case for Automation-First Security Discovery
Most assessments start with interviews. Ours start with scripts. Why automation-first discovery produces better findings faster.
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