One prompt, one altered model run.
An AI can rewrite a notebook against your reserving model, psql into a claims warehouse for "context", or git push an unreviewed change to a pricing pipeline. The financial impact arrives quarters later.
See how DarkControlAI protects insurers from uncontrolled AI coding agents: governing the commands AI tools execute against actuarial, underwriting and claims platforms, with policy proof for Solvency II and supervisory examinations.

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.
One-line installer. Windows, Linux, macOS. MDM-friendly.
Allow, deny or ask, by command, package, organisation or department.
Every attempt your AI coding agents make is matched against policy before it runs.
Auditor-ready evidence on demand, centralised.
Claude Code, OpenCode, Codex, Copilot, Cursor and Google Antigravity now execute commands against underwriting models, claims pipelines and reserving data. Each one is a Solvency II conversation waiting to happen if you cannot show who, or what, changed it.
An AI can rewrite a notebook against your reserving model, psql into a claims warehouse for "context", or git push an unreviewed change to a pricing pipeline. The financial impact arrives quarters later.
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.
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.
EIOPA and national supervisors increasingly probe how AI is governed inside insurers. DarkControlAI produces the runtime audit trail that turns "we have an AI policy" into "here is every command the AI ran".
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.
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
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 …
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
Set rules once in the console. Every endpoint picks them up automatically. No mass SSH, no per-machine drift.
Engineering can have a permissive ruleset. Finance can ban every package install. Contractors can have their own posture entirely.
One rule covers every install variant. npm install, npm i, yarn, pnpm, pip, apt, brew; DarkControlAI expands them for you.
Every attempt: allowed, denied, asked, recorded with command, host, IP, service and timestamp. CSV export for SIEM ingestion is built in.
A continuously-scored 0-100 view of license health, rule coverage, agent liveness and governance, with a 12-item checklist auditors recognise.
A single lightweight agent for Windows, Linux and macOS. One-line installer. Self-updating. Revoke any endpoint in one click.
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.