#ai-security

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ai · Nov 13, 2025

10 Lessons from Building an AI Agent Security Lab

Lab lessons: prompt injection unsolvable, vendor lock-in is operational risk, agility is control. Breaking systems teaches security faster than theory.

ai · Nov 12, 2025

AI Security Challenges We're Not Ready For

Unprepared for autonomous agents, model poisoning, deepfakes, and AI arms races. Security frameworks, certifications, and playbooks lag behind capabilities.

learning · Nov 11, 2025

From USS Tennessee to AI Security: A Cybersecurity Journey

From USS Tennessee ISSM to AI security: how traditional cybersecurity expertise became both foundation and limitation for securing AI systems.

ai · Nov 10, 2025

How to Structure Data for AI Without Creating Security Nightmares

Balance AI context with security: structured data, sanitization, RAG, and least-privilege. Practical patterns for safe AI without data exfiltration risks.

ai · Nov 8, 2025

Vendor Lock-In is Your Biggest AI Security Risk

Cloud AI providers control your infrastructure completely. Multi-vendor architecture isn't optional—it's a security control for operational resilience.

ai · Nov 7, 2025

I Monitored a Chinese AI Model for Bias. Here's What I Found.

GLM 4.6 monitoring revealed 12% geographic bias, narrative injection, and trust-building patterns. Empirical security research on lower-cost AI model behavior.

ai · Nov 6, 2025

Prompt Injection: The SQL Injection of AI (But Unsolvable)

Prompt injection is the defining LLM vulnerability with no parameterized query fix. Unlike SQL injection, it may be theoretically impossible to solve.

ai · Nov 5, 2025

Why AI Security Broke Traditional InfoSec Playbooks

Traditional CISSP frameworks fail against prompt injection and unsolvable AI vulnerabilities. Here's why agility matters more than stability in AI security.