See how DarkControlAI protects banks from uncontrolled AI coding agents: enforcing fleet-wide allow, deny and ask rules on every shell command, with the audit trail your regulators expect under DORA, MiFID II and PCI DSS.
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 the commands they suggest, with developer credentials, against systems your supervisor will ask about. There is no four-eyes principle on git push --force, and no DORA-compliant record of what an AI just ran on a settlement-system jumphost.
A coding agent can aws s3 rm a reporting bucket, force-push over a release branch, or npm install a typo-squatted package into a payment service, on a single ambiguous instruction. Banking supervisors do not distinguish "the AI did it" from "the employee did it".
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.
A written AI policy is no longer enough. Supervisors increasingly want to see what the AI actually ran, on which host, approved by whom. DarkControlAI produces that record. Your current AI tooling does not.
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.