Where agents act on things that matter.
KPATH in regulated financial services, in platform engineering, and as a neutral enforcement layer for sovereign environments.
How do banks run AI agents safely?
Banks and insurers are putting agents on AML alerts, sanctions screening, KYC, card fraud and claims. KPATH sits between those agents and your core systems. Each agent reaches only what its job needs, and anything that moves money or goes to a regulator waits for a person.
How does a platform team govern every AI agent and coding harness in the estate?
Start with the coding harnesses, because that is where the agents already are. KPATH Developer Edition gives a team one governed MCP endpoint that fans out to every approved tool, with per-developer policy, adopted self-serve. Monitor mode then inventories every other agent from real calls, and KPATH Enterprise governs the rest of the estate.
What is KPATH Defence?
The same enforcement layer, for defence and sovereign environments, as a neutral accountability layer that keeps a person in control. KPATH runs air-gapped inside your boundary, keys stay in your custody, every agent action is checked against your policy before it happens, and every decision lands in a record a third party can verify. KPATH enforces human control; it is not autonomous decisioning.
What is agentic commerce and how do you give customer agents a governed way in?
Assistants that book, buy and transact on someone's behalf are already reaching real businesses. The question is whether they find a governed way in, or scrape their way through. An agent at your front door is still an agent you have to govern: it needs an identity, a policy, a spending limit and a record of everything it did.
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Start in monitor mode. See everything before you enforce anything.
Deploy in monitor mode: observe only, enforce no policy, rewrite no agents. Flip to enforce by repointing egress. See the agents already running in your estate before you decide what to enforce.