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Use cases

Built for the industries that can't afford to guess.

Deterministic enforcement for AI agents operating in regulated, high-stakes environments. Every action governed before execution.

Industries

Enterprise SaaS & IT

Coding and ops agents get exactly the access they need.

Internal-tooling and coding agents are given broad, standing access because it's convenient. That's the gap.

Enforcement pipeline

01Lateral movement through internal tools

Risk

A compromised or confused productivity agent pivots from its intended scope into code repos, HR systems or internal APIs.

Checkpoint
DENY

Every tool call is checked against a per-agent, per-role policy at the connection layer before it can reach outside its scope.

02Irreversible operations without review

Risk

A coding or ops agent executes a destructive action — a database delete, a schema change, a production deploy — on its own judgment.

Checkpoint
ESCALATE

High-impact actions are treated as privileged intents. They require an independent approval boundary before execution.

03Source and credential exfiltration

Risk

An agent is manipulated into returning proprietary source, .env contents or API keys through a routine-looking query.

Checkpoint
DENY

File and credential access to .env, private keys and config stores is blocked by default policy.

Regulatory frameworks this scenario touches — not certifications CuriousDevs holds

SOC 2ISO 27001DPDP Act, 2023Customer DPAs

Let something decide for you. Just not unsupervised.

Bring one workflow you are nervous about. We will show you exactly where the checkpoint goes and what it would have stopped last month.

See the platform

Questions

The things people ask first

Short answers on how this runs, what it costs you in speed, and what you can hand to an auditor.

A decision checkpoint for software and machines that act on their own — it approves, trims, escalates or refuses each action, and keeps a signed record of why.