Secure development environments for banks adopting AI.
KolaOS gives payments, lending and risk teams ready-to-code workstations and approved AI coding agents. Your platform team sets sign-in, merge rules and AI spending once, and KolaOS enforces them outside the engineer's machine.
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Every change to a financial system needs an owner.
Engineers want AI coding agents, and leadership wants the productivity. Risk and audit teams still have to answer who could reach a system, which tool wrote a change, who approved it and what it cost. When code, credentials and AI tools spread across laptops and personal accounts, nobody can answer.
Sign-in you already govern
Members sign in through your identity provider, with token lifetimes you set.
A person before the merge
Hold agent commits until an engineer reviews them.
Approved agents
Choose the coding agents and models each team may use.
Prompt records
Every agent prompt kept with its member, model and cost.
Access
Tie engineering access to your identity provider.
Verify your bank's domains, connect single sign-on and require it for every member. Cap how long API tokens can live across the organization.
- Single sign-on required for all members
- Verified domains with automatic joining
- A maximum lifetime for API tokens
Review
Put an engineer in front of every agent merge.
Write merge rules for each workspace. When an agent run has read outside input, its commits wait until an engineer with write access reviews and releases them. Try a rule in report-only mode before you enforce it.
- Restrict who can merge pull requests
- Hold commits from runs that read outside input
- Try a rule in report-only mode first
- See how often each rule refused an action
AI activity
Show auditors what each agent was asked and what it cost.
Every agent prompt is recorded with the member, workspace, coding agent, model and cost. Your administrators set how long records are kept, and every read of a prompt is itself audited.
- Prompt records by member, workspace and agent
- Retention set by your administrators
- Model and cost for each request
What your risk team gets, and what your engineers keep
- 01
Answers for audit
Access, merge rules, prompts and AI spending are recorded in one place, so an audit request doesn't turn into a project.
- 02
AI adoption with a budget
Set an organization budget that stops AI use when it's reached, and see spend by team, agent and model.
- 03
Policy outside the laptop
Access, merge rules and AI spending are enforced outside the workstation, not by settings an engineer can change.
Deployment and governance
Deploy where your risk team approves.
Run workstations on your own servers, on premises or in a private cloud, or in your own AWS account, with records your administrators control.
- Deployment
- All of KolaOS privately on your own servers, on premises or in a private cloud, your own AWS account, or KolaOS Cloud in the EU or US.
- Enforcement
- Access, merge rules and AI spending are enforced outside the workstation, not by settings an engineer can change.
- Records
- An audit log of access decisions and changes, and agent prompts kept as long as you set.
- AI
- Approved coding agents and models for each workspace, and an organization budget.
Check the KolaOS security documentation to see what we cover.
Bring AI coding agents into your bank with control.
Request a demo with your platform and risk teams.