Why us

Your agent executes what it reads.
Nobody wrote its rules.

CleanIssue was born from one observation: companies deploy AI agents that can act — write, send, pay, sign — without ever defining what they are allowed to do. That is not a flaw to patch, it is a perimeter that does not exist yet. We prove it, then we lay it down.

Why now

9 s
a coding agent wiped prod and backups (Railway, 2026) — no flaw, no injection
$812
Air Canada ordered to honor a policy invented by its own chatbot
2026
SIG and client questionnaires now cover AI — the question reaches your clients
0
actions blocked today at a 40-person vendor: the perimeter exists nowhere

What sets us apart

20 minthe proof, on your agent

Proof before promise

A 20-minute demo on your test environment: we show one action your agent should not be able to take. If we find nothing, you pay nothing.

1object: the action, not the talk

One object: the action

We do not sell "AI security" in general. The agent says something silly? Content. The agent sends the customer base because a ticket told it to? Action — our ground.

0LLM in the decision loop

Deterministic, not probabilistic

Guardrails filter words with probabilities. Our layer decides on written rules: what is written passes, everything else is blocked. Auditable, versioned, identical on every run.

100 %under written mandate

Airtight framework

Client-provided test environment, systematic written authorization, zero retention, ISO 29147 responsible disclosure, OWASP Agentic and MITRE ATLAS mapping.

CleanIssue vs a generalist pentester

CleanIssueGrands cabinets
Test objectThe agent's actions against written rulesThe web and infra around the app
ReferentialOWASP Agentic Top 10 · MITRE ATLASOWASP Web · technical CVEs
Key deliverableThe written rules, with your teamA vulnerability report
After the reportThe software that blocks the action (soon)Remediation is yours
PositionComplementary — keep your pentesterDoes not test agents

CleanIssue vs guardrails and US platforms

CleanIssueScanners
DecisionDeterministic: written rules, allow/blockProbabilistic: word filtering, scores
Leak through allowed actionsFlow rules: read data never exitsNot covered
TargetFrench teams 15-300, public pricingUS enterprise, 9-month procurement
Lock-inRules in your repo, nothing to loseSaaS black box
Entry point20-min demo on your test environmentA sales demo

FAQ

Want to know what your AI agent can do?

Tell us about your agent, its tools, and client context. We will come back with the right review scope.

Discuss your audit