Your agent executes what it reads.
Nobody wrote its perimeter.
ActionShield 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
What sets us apart
Proof before promise
A 20-minute demo on your sandbox: we show one action your agent should not be able to take. If we find nothing, you pay nothing.
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.
Deterministic, not probabilistic
Guardrails filter words with probabilities. Our layer decides on a written spec: in spec, allow; out of spec, block. Auditable, versioned, identical on every run.
Airtight framework
Client-provided sandbox, systematic written authorization, zero retention, ISO 29147 responsible disclosure, OWASP Agentic and MITRE ATLAS mapping.
ActionShield vs a generalist pentester
| CleanIssue | Grands cabinets | |
|---|---|---|
| Test object | The agent's tool calls against an action spec | The web and infra around the app |
| Referential | OWASP Agentic Top 10 · MITRE ATLAS | OWASP Web · technical CVEs |
| Key deliverable | The action spec written with the CTO | A vulnerability report |
| After the report | The software that cuts the action (soon) | Remediation is yours |
| Position | Complementary — keep your pentester | Does not test agents |
ActionShield vs guardrails and US platforms
| CleanIssue | Scanners | |
|---|---|---|
| Decision | Deterministic: written spec, allow/block | Probabilistic: word filtering, scores |
| In-spec exfiltration | Flow rules: read data never exits | Not covered |
| Target | French teams 15-300, public pricing | US enterprise, 9-month procurement |
| Lock-in | Rules in your repo, nothing to lose | SaaS black box |
| Entry point | 20-min demo on your sandbox | A sales demo |