AI & LLM Security Assessment

Your agents hold credentials, browse, and execute. We attack them the way adversaries already are — prompt injection, skill compromise, exfiltration — then show you how to contain it.

Request a scoping call Our methodology
Why this matters: Traditional application security does not see the agentic attack surface. Our published AST research series documented malicious skills, Markdown-driven exfiltration, and skill supply-chain compromise — attacks that walk straight past normal controls because the "user" is now an agent with your credentials. If your product ships AI features, they need dedicated adversarial testing.

What we cover

  • Prompt injection: direct, and indirect through retrieved or uploaded content
  • Data exfiltration paths: rendered Markdown, tool outputs, links, image loads
  • Tool, MCP, and skill permission review — least privilege in practice
  • Memory and RAG poisoning, persistence, and context abuse
  • Guardrail and output-handler bypass testing
  • Agent identity, credential scoping, and blast radius
  • Mapping to the OWASP Agentic AI and LLM Top 10

How we test

1Attack-surface inventory

We chart every agent, tool, skill, data source, and trust boundary — most teams have never seen this drawn out. It ships with the report.

2Permission & boundary review

Static analysis of what each component can reach: files, network, credentials, production data. Over-privilege is the #1 finding.

3Controlled red team

Live injection, exfiltration, and privilege-abuse testing against a controlled tenant or staging copy — never your real data.

4Hardening & re-review

Isolation, egress filtering, identity scoping, output handling — then a re-review once changes land.

What you get

  • Agent attack-surface map with trust-boundary diagram
  • Findings ranked by demonstrated exfiltration impact
  • Hardening guide: isolation, egress, identity, output handling
  • Developer-focused fix guidance and a re-review

The engagement at a glance

📞 Free scoping call

A short conversation about your environment. You receive a written scope, timeline, and fixed quote — no obligation.

✍️ Signed authorization

Testing begins only with your written permission and agreed rules of engagement. Always.

⏱️ Time-boxed delivery

A calendar agreed before we start, with an agreed communication plan while testing runs.

🔁 Retest included

A verification pass over everything you fix — included in the price, not an add-on.

See the full engagement process → and how pricing is scoped in our public pricing guide.

Related research from Hmmnm

AI Agent Security — the complete guide (2026)hmmnm.com OWASP Agentic Skills Top 10 explainedhmmnm.com AST01: malicious skills & Markdown exfiltrationhmmnm.com How AI agents break containmenthmmnm.com

Common questions

We use enterprise Copilot or ChatGPT, not custom agents — can you still assess us?

Yes. The assessment then focuses on configuration, data connectors, consent grants, and how AI features integrate with your systems — the parts you control.

Does testing risk our production data?

No. Exfiltration testing runs against controlled tenants or staging copies with synthetic data. We never move real data out of your environment.

Which frameworks do you map findings to?

The OWASP Agentic AI Top 10 and OWASP Top 10 for LLM Applications, plus MITRE ATLAS where it fits your stack.

Authorization first, always. Testing happens only with your written permission and agreed rules of engagement — the same ethics that govern responsible disclosure on this site.
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Want this assessed for your environment?

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