Your Team Connected an AI Agent to Your Customer Database. Nobody Reviewed It.
That's not a hypothetical. It's happening right now. Someone on your team installed a plugin, connected an agent to your CRM, or gave a third-party AI tool access to internal docs — and nobody asked what happens when it acts on a live system.
AI Agents Don't Just Chat Anymore.
They Execute.
2025 changed the game. The MCP protocol launched. The OWASP Agentic Top 10 was published. Agents now send emails, modify records, query databases, and execute code — and most businesses are still operating like it's 2023.
Unscoped Permissions
An agent with write access to your production database doesn't know what it shouldn't touch. Nobody defined the boundary.
No Audit Trail
When an agent modifies 500 records in seconds, you need to know what changed and why. Most setups log nothing.
Vendor Trust by Default
Your team installs AI tools based on marketing pages. Nobody reviews what data leaves your network.
Hallucinated Actions
An agent that hallucinates text is annoying. An agent that hallucinates an action on a live system is a breach.
From Guessing to Governing
Before Joining
- Guessing which AI tools are safe
- Relying on vendor promises
- Hoping your team doesn't create a liability
- No framework for evaluating agent risk
- Security conversations you can't participate in
After Joining
- Repeatable process for vetting AI tools
- Understand the real attack surfaces
- Brief your team and board confidently
- Clear checklist before any agent deploys
- Current intel — not last month's blog post
Not a Course. An Operating System
for AI Agent Risk.
Everything you need to make informed decisions about AI tools without needing a CS degree.
15-Minute Threat Briefings
Plain-language video breakdowns of the latest AI agent security incidents. No jargon. Watch on your commute. Know what happened and what it means for your org.
AI Tool Vetting Checklist
Step-by-step process for evaluating whether an AI agent is safe to deploy. Run it on any tool in 15 minutes. Know if it's a liability before it touches your systems.
Live Incident Dissections
Real AI security failures, walked through live. What went wrong. What the company should have done. Lessons you can apply directly to your setup.
Direct AMA Threads
Post your specific situation, get analysis — not theory. Describe your tool stack, get a direct assessment of your exposure.
Is This for You?
This is for you
- Operations managers and team leads
- Founders adopting AI tools
- Executives briefing boards on AI risk
- Non-technical people making technical decisions
This is not for you
- Developers building AI models
- ML engineers and researchers
- Security researchers writing exploits
- Anyone who wants to build agents, not govern them
About Andres
I'm a security engineer who builds and breaks AI agent systems for a living. I work on real deployments — not benchmarks or demos — and I publish what I find: attack surfaces, failure modes, and the decisions that create them.
This community exists because most of the people making decisions about AI tools aren't engineers. They're ops leads, founders, and executives who need to know what questions to ask — and what answers should concern them.
Less Than One Hour of a
Security Consultant's Time.
A single AI-related data breach costs six to seven figures. No long-term contracts. Cancel anytime.
- Weekly threat briefings
- AI tool vetting checklist
- Monthly live incident dissections
- Direct AMA threads
- Full community access
Your Team Is Connecting AI Agents to Your Systems Right Now.
The question is whether you'll know what those agents can access before your legal team finds out the hard way.
Join the Community