AI Security Insights, From Production

Your AI agent can touch customer data, call business tools, and retrieve documents. That makes it the most valuable account in your system, and the one attackers are learning to exploit. Here are the 10 OWASP agentic risks, the attack path that matters most, and what a real review tests.

MCP servers connect your LLM to data and tools — and to a confused-deputy blast radius. Here's the 4 real attack paths, what an assessment actually tests, and how to audit yours before a breach.

We tracked every AI/agent-relevant CVE from CISA KEV and NVD for a month. 851 total, 363 in RAG alone. The data shows the attack surface has moved to the plumbing around the model — and most teams aren't looking there.

73% of enterprises went over their AI budget this year. It's not a forecast — it's a post-mortem. Here are the three cost multipliers nobody budgets for, the real blow-ups, and the controls that actually cap agent spend.

62% of what you pay for agent inference is the model being told things it already knows. You're buying the same context over, and over, and over. Here's why agents multiply it — and how to cut it.

Real MCP prompt injection walkthrough. Tool poisoning, session hijacking, and the 3-line fix that blocks it all. I found a vulnerability in a production MCP server in under 10 minutes — here's the exact attack chain.

Prompt injection is the vulnerability I see most when I break AI systems. Here's what it is, how the sneaky indirect version works, a real exploit chain, and the defense layers that actually hold.

You don't need a security degree to understand the OWASP LLM Top 10. Here's the plain-English version — what each risk means for your business, mapped to what a GaleOps audit tests.

Most AI compliance content is written for enterprises. If you're a 20-person company shipping AI, here's what actually applies to you — and the three concrete things you need to do.

My first HackerOne report landed as a HIGH-severity information disclosure on a major education platform. The vulnerability class is one you can find on almost any AI-enabled site — here's the methodology, the exact recon techniques, and 7 other findings I bundled into the report.

I downloaded 13 Clarity 4 contracts from Zest Protocol V2's $100K Immunefi program, generated 8 hypotheses, tested the 3 highest-priority ones, and refuted all of them at the code level. The single Medium finding is operational, not a code defect. Here's the methodology — and the argument for why a high-quality negative result is still publishable.

78% of organizations are unprepared. Penalties hit €35M or 7% global revenue. If your AI product serves EU users and touches hiring, lending, insurance, education, or biometrics, here's the 9-day compliance sprint plan.

Out of 50 production AI agent prompts I tested this week, 47 had at least one critical vulnerability. The most common one isn't what you'd think (it's not direct override). The full results, the test rig, and what to do about it.

Forget theory. These are the 5 attacks that actually work against production AI agents deployed in 2026 — with examples I've seen firsthand in customer audits. Most teams have 3 of 5 active vulnerabilities.

You've probably seen a million "AI security audit" marketing pages. Here's what an honest one actually delivers: the 12 hours of recon, the 5 manual attack techniques, the report structure, and what I'd watch out for.

Twelve years running IT at Wells Fargo. Then 5 years building Bambu Lab and Klipper workflows. Now I'm hunting prompt injection on production AI agents. Here's why the world's loudest niche has its loudest blind spot.

Pricing transparency matters. Here's the actual cost breakdown of my AI Security Audit, Red Team, and Guardrail Setup engagements — and why consulting firms charging $50K+ are usually selling you a longer report, not a better audit.