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CANHA

AI Agent Security

Security testing for AI agents before enterprise deployment.

CANHA tests production AI agents with real access to tools, APIs, data, and integrations — and gives B2B SaaS teams the evidence they need before an enterprise deal closes.

  • Fixed-scope assessment
  • Authorized, contained testing
  • Evidence for your customer review

01The problem

Enterprise buyers are asking about your AI agent. Evidence — not a demo — answers that.

Security review now routinely decides whether enterprise software gets signed. When the product includes an agent that can access customer data or act on external systems, reviewers go further: they ask whether the agent has actually been tested.

01

Procurement is asking for testing

Enterprise security teams increasingly require evidence that an AI feature has been tested before they sign. They want methodology, findings, and remediation — not a walkthrough.

02

Your agent is a new attack surface

An agent with tool access is not a web app. Its risk lives in what it can be manipulated into doing — through the APIs, credentials, and permissions wired around it.

03

You need evidence, on a deadline

A fixed-scope, adversarial assessment produces documented findings and proof you can share with your customer before their review window closes.

02What we test

We press on the boundaries around your agent — not just the model.

An agent fails security when its environment lets it do more than intended. We attempt to make your agent do exactly that, then document what happens.

[See the full assessment scope]

01

Agent authorization

Can the agent act as an identity with more power than the task requires?

02

Tool and API access

Can it invoke capabilities outside the scope it was granted?

03

Excessive agency

Can it take high-impact actions the prompt never authorized?

04

Indirect prompt injection

Can instructions hidden in fetched content hijack its behavior?

05

Sensitive data exposure

Can it be steered into data it should never have reached?

06

Authentication and authorization

Do the controls around its access hold under adversarial pressure?

07

Secrets and credentials

Can it be made to reveal or misuse keys, tokens, or connection strings?

08

Dangerous tool chains

Can it combine separate capabilities into one harmful action?

09

Logging and traceability

Can it act without leaving an auditable record?

03How the assessment works

Six phases. One clear evidence trail.

From agreeing the scope to verifying your fixes, every phase is documented, contained, and reproducible.

  1. 01

    Architecture & Scope

    We map the agent, its tools, and what it can touch, and agree with you exactly what will be tested and under what guardrails.

  2. 02

    Attack Surface Mapping

    We enumerate the capabilities, permissions, and integrations an adversary could turn against you.

  3. 03

    Adversarial Testing

    We try to push the agent past its intended behavior — through injection, tool abuse, and authorization failures.

  4. 04

    Exploitation & Evidence

    Confirmed findings are reproduced step by step, with impact proven rather than theorized.

  5. 05

    Reporting

    Executive summary, technical report, severity ratings, remediation guidance, and a customer-ready evidence package.

  6. 06

    Retest

    After you remediate, we rerun the assessment scope and verify the fixes.

  7. [Read the full methodology]

04What you receive

An evidence package your customer's security review can actually use.

The output is built for two audiences: your team, who needs to fix what we find, and your customer's security reviewers, who need to verify it.

  • Executive security summary
  • Technical assessment report
  • Reproducible findings with evidence
  • Severity and impact ratings
  • Remediation guidance
  • Evidence package suitable for an enterprise security review
  • Retest after remediation

05Who this is for

If you shipped an AI agent that does things, this was written for you.

Our current focus is direct: B2B SaaS teams whose agents hold real access, and whose enterprise customers are asking for proof.

  • 01

    Seed-to-Series A B2B SaaS companies

  • 02

    A production AI agent with real access to APIs, credentials, customer data, databases, repositories, or third-party tools

  • 03

    An enterprise buyer asking for security evidence before they sign

An honest note: CANHA is an early-stage company. You won't find a client roster, certifications, or a long company history here, because we don't have them to show. What we do offer is a precise, reproducible assessment of your agent — and evidence you can hand to your customer.

06Next step

Your customer wants security evidence before signing. We test what your agent can actually do.

Start with a short request — we'll take it from there to scoping.