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AI Security & Compliance Insights

Technical deep-dives and strategic guidance for CISOs, CTOs, and security leaders building AI systems at scale.

Why Your AI Security Tool's Output Can't Be Trusted (And What to Do About It)

Accurate source data doesn't guarantee accurate model output. A practical framework for evaluating whether an AI security tool can fabricate, leak, or act on bad instructions, and the five questions to ask before you trust one.

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AI Security

The CISO's Framework for AI Defense-in-Depth

Most AI security reviews stop at the vendor contract. Here's a 5-layer defense-in-depth model for the parts of an AI system that are actually yours to secure.

June 2, 20269 min read

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ArchitectureComing Soon

Secure AI Architecture Patterns

Reference architectures for building secure AI systems. From data ingestion to model deployment, security at every layer.

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ComplianceComing Soon

GDPR Compliance Automation for AI Systems

A practical guide to automating GDPR compliance checks in your AI pipeline. Includes code examples and TopFlow templates.

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Open SourceComing Soon

Lessons from Building Open Source Security Tools

What I learned creating TopFlow: community building, security-first design, and sustainable open source practices.

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SecurityComing Soon

AI Incident Response Playbook

When your AI system is compromised, every minute counts. A step-by-step guide to AI-specific incident response.

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ComplianceComing Soon

SOC 2 for AI Companies: What You Need to Know

Navigating SOC 2 compliance when your core product involves machine learning. Common pitfalls and how to avoid them.

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