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AI coding agent governance for healthcare

AI governance for healthcare and life sciences.

See how DarkControlAI protects healthcare organisations from uncontrolled AI coding agents: keeping AI tools off PHI, EHR back-ends and regulated infrastructure, with audit evidence aligned to HIPAA, NIS2 and GDPR Article 9.

<10 ms
median verdict latency
100%
of agent actions logged
3
policy layers, merged predictably
4
compliance frameworks mapped
Built for the AI coding agents your engineers actually use
  • claude
  • opencode
  • codex
  • GitHub Copilot
  • vscode
  • cursor
  • antigravity
See it in action

From shadow AI to governed AI in under 30 seconds.

Watch DarkControlAI intercept a Claude Code agent attempting destructive commands on a developer workstation, escalate the call to a human operator, and record the whole exchange, fleet-wide, in real time.

Install the agent

One-line installer. Windows, Linux, macOS. MDM-friendly.

Set your rules

Allow, deny or ask, by command, package, organisation or department.

Govern every command

Every attempt your AI coding agents make is matched against policy before it runs.

Prove it

Auditor-ready evidence on demand, centralised.

The Problem · Healthcare

In healthcare, an AI coding agent is one prompt away from PHI.

Claude Code, OpenCode, Codex, Copilot, Cursor and Google Antigravity do not know what an EHR is. They will happily curl a backend, query a patient database or push a feature branch carrying a sample patient export, because someone, somewhere, told them to.

One prompt, one HIPAA / GDPR Article 9 event.

An AI agent can pull patient records into a logfile, push them into a test fixture, or exfiltrate them through a "helpful" backup script. Reporting clocks start the moment a regulator believes PHI moved.

Per-machine settings don't scale.

Every AI coding tool ships its own permission file, configured per-laptop, per-developer, per-tool. There's no central place to say "engineering can install npm packages, but no one in finance can run apt." So nobody does.

No fleet-wide visibility. Anywhere.

Which machines run AI agents? Which agents tried what last week? Which were blocked, which slipped through? Most security teams genuinely cannot answer these questions today; there is no inventory and no log.

HIPAA, NIS2 and GDPR want evidence, not assurances.

A breach investigator will not accept a written policy. DarkControlAI produces the per-host, per-command record of what AI tools actually did against your regulated systems; the record covered entities and processors are now expected to produce on request.

The Solution

Allow. Deny. Ask. Audited.

DarkControlAI sits between your AI coding agents and your operating system. Every command they attempt is matched against the policy you set in a single console, and the verdict, plus a full audit record, lands on your security team's screen in real time.

ALLOW

Trust the safe stuff.

Read-only commands, repo navigation, test runs and your team's pre-vetted tooling clear instantly and silently. Developers feel nothing.

git status · npm test · python -m pytest
ASK

Put a human in the loop.

For commands that aren't quite blocked but warrant a glance, a package install, a system change; DarkControlAI escalates to a real person before the AI proceeds.

npm install <new package> · sudo apt install …
DENY

Stop the bad ones cold.

The dangerous patterns: destructive deletes, piped curls, package poisoning attempts, never reach the shell. The agent is told no, the event is logged, the machine is fine.

rm -rf /* · curl … | sh · aws s3 rm s3://prod

Central policy, fleet-wide reach

Set rules once in the console. Every endpoint picks them up automatically. No mass SSH, no per-machine drift.

Departments, not just orgs

Engineering can have a permissive ruleset. Finance can ban every package install. Contractors can have their own posture entirely.

Package-manager aware

One rule covers every install variant. npm install, npm i, yarn, pnpm, pip, apt, brew; DarkControlAI expands them for you.

Immutable audit trail

Every attempt: allowed, denied, asked, recorded with command, host, IP, service and timestamp. CSV export for SIEM ingestion is built in.

Live compliance posture

A continuously-scored 0-100 view of license health, rule coverage, agent liveness and governance, with a 12-item checklist auditors recognise.

One agent, every OS

A single lightweight agent for Windows, Linux and macOS. One-line installer. Self-updating. Revoke any endpoint in one click.

Get in touch

See DarkControlAI against your own AI tools.

Tell us what your engineers run and where, and we'll set up a private demo against a representative environment. A real human from DarkControl will reply within one business day.