You configured your AI agent to do one thing.
We test what it actually does.
Your AI agents have access nobody fully understands.
We start by mapping what your AI agents can reach: their tools, connections, and permissions. Then, if you want proof, we test the riskiest ones and show you what they actually do.
You get a fix-first list: the agent and access combinations to fix before anything else.
One-week inventory: $9,500 fixed fee. Read-only access. Founder-led, from scoping to delivery.
Read the report before you buy the engagement.
Sample run on fictional data (Example Corp).
$ cais-console scan --target example-corp --read-only [ACCESS] Read-only role assumed [DISCOVER] 24 assets across 11 modules [AGENTS] AI service checks: 7 complete, 1 partial [MAP] Agent tools, credentials and permissions mapped [REVIEW] Findings queued for analyst review ✓ Inventory complete: 2 agents found, 1 criticalDon’t trust the assumption. Prove the control holds.
If Your AI Can Touch Money, Data or Decisions, This Is for You.
The industry changes. The question doesn't: what can someone trick your AI into doing with the access you gave it?
Banks and Finance
An AI that pays invoices. Can a fake invoice from a lookalike vendor get it to pay the wrong account?
Healthcare
An AI that answers patient questions. Can someone posing as a family member get another patient's results?
Law Firms
An AI that reads case files. Can a hidden instruction inside a document get it to email that document outside the firm?
Government Agencies
An AI that handles requests. Can a request with hidden instructions approve itself, or pull other citizens' records?
Any Company's HR or IT Help Desk
An AI that handles staff requests. Can a fake "urgent" message from the CEO get a password reset or salary data?
These are examples of what we test for, not past client work. The fake invoice is the one practice test we've built so far, run on a made-up company with fake money. We design your tests around your agent during scoping. The one-week inventory covers AWS; penetration testing goes wherever your agent runs, in an environment you approve.
Two Engagements. One Focus.
Every engagement has a defined scope, a fixed fee, and a report your leadership can act on.
AI Agent & MCP Inventory
Build a defensible inventory of the AI agents running in your AWS environment, the MCP servers they connect to, the tools they can call, and the credentials and permissions they hold. Then see which of those combinations need fixing first.
Agent Inventory • MCP Server Inventory • Tool & Permission Map • Fix-First List • Board-Ready Summary • Live Walkthrough
Fixed Scope • Fixed Fee • 1 Week • Human-Led • Read-Only
AI Penetration Testing
Manual, human-led testing of what your AI agents do under attack: planted instructions, tool misuse, data leaking out through tool calls, and the permissions behind them. Every test run by hand, every finding reproduced.
Human-Validated Findings • Technical Report • Plain-Language Summary • Remediation Guidance • Retest Within Scope • Live Walkthrough
Fixed Scope • Fixed Fee • 2-6 Weeks • Human-Led • Not a Scanner Output
Built by a Practitioner, Not a Manager
Founder-led. Senior-level delivery. No junior handoffs.
Over a decade in enterprise security, including roles at Microsoft, American Airlines and Rackspace. Fully hands-on, not a manager. The rollouts below were done by the person who will run your review.
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Read more →How Every Engagement Works
No black boxes. No mystery methodology. Three steps, clear output at every stage.
Scope & Access
We define exactly what we're reviewing or testing. Inventory uses read-only access. Penetration testing happens only in systems explicitly authorized during scoping.
Investigate & Document
SONAR runs the automated discovery in AWS. The founder does all testing and reviews every finding by hand. Every finding is backed by a specific log entry, transcript, or artifact.
Report & Brief
You get two deliverables: a technical report with full evidence, and a plain-language summary your leadership can act on. We walk you through both live.
Let's Talk Security
Every engagement starts with a conversation about your AI agents and what they can reach.
Start a conversation.
Tell us about your environment and what triggered the inquiry. We'll scope the engagement, define deliverables, and give you a fixed-price proposal. No hourly surprises.