Built for AI workyou can actually deploy.

Traditional application security controls human access to software. AI worker security has to control what an autonomous system can remember, retrieve, write, call, send, update, approve, or trigger — across tools, memory, channels, browsers, and systems.

An AI worker may draft customer emails, update CRM, retrieve sensitive memory, call MCP tools, review documents, interact with a browser, or trigger workflows across business systems. Qoris is designed around that reality — every meaningful action is scoped, governed, and recorded.

Trust in Qoris isn’t a single feature. It’s a stack — identity establishes who’s acting, Knox decides what’s allowed, Memory controls what’s remembered, and Audit records what happened. Every action moves through all four.

Every human, worker, subagent, external agent, runtime, API key, tool, and channel has an identity inside Qoris. That identity is the basis for permissions, policy checks, approval routing, audit events, and runtime controls. If Qoris can’t identify the actor, Qoris doesn’t trust the action.

Before a worker sends an email, updates CRM, writes memory, calls a tool, accesses protected data, or triggers an external system — Knox evaluates the action against policy. The decision happens inside the worker’s container, which means it cannot be bypassed by prompt injection, jailbreak, or workflow re-routing.

Knox can allow, block, require approval, escalate, sanitize, defer, or log. Every decision is explainable, reviewable, and recorded.

Qoris Memory separates fast recall from canonical truth. Workers find context quickly through scoped recall, but durable long-term memory — customer preferences, workflow rules, prior decisions — only becomes canonical after proposal, Knox check, and approval. Protected repositories require explicit role permissions to access.

Qoris Audit records the full operational trail across workers, subagents, memory, tools, Knox decisions, approvals, external agents, and runtime events. When something happens, teams can inspect what was attempted, what policy applied, who approved it, what tool was called, what memory changed, and what happened next.

Knox controls what’s allowed. Audit proves what happened.

Some workflows need more than hosted workers — they need dedicated runtimes, scoped credentials, environment separation, and customer-owned infrastructure. Qoris Worker Containers run AI workers in isolated environments with Memory, Knox, tool access, approvals, and Audit built in. The container ships with the control plane inside it.

For agents that run outside Qoris — Claude, LangChain, CrewAI, AutoGen, MCP clients, custom runtimes — the same controls apply via MCP. Scoped memory access. Knox checks on every sensitive action. Audit events streamed back into the trail. There is no “external agent” loophole because enforcement happens at the action, not at the agent.