Governance that livesinside the container.

Knox is the execution firewall built structurally into every Qoris worker. It checks every action — tool calls, memory writes, external messages, browser actions, sensitive operations — before they happen. Not bolted on. Not bypassable.

Patent pending — U.S. 63/907,730

AI workers become valuable when they can act. They become dangerous when they act without control.

On April 29, 2026, an AI agent deleted a production database in nine seconds. The agent followed instructions. The instructions told it not to. Instruction-following is not policy enforcement.

Enterprises don’t only need to know what the AI said. They need to control what the AI is allowed to do — before it happens. Prompt-based guardrails ask the model to behave. Monitoring tools tell you what already broke. Knox decides what’s allowed to execute.

The future of AI work isn’t just better reasoning. It’s governed execution.

A pre-execution control layer that runs inside the worker, not around it.

Knox sits in the execution path between an AI worker’s intent and the actual action. Before a worker sends an email, updates CRM, writes memory, calls a tool, accesses protected data, submits a form, or triggers an external system — Knox evaluates the action against policy.

Because Knox runs inside the worker’s container, it cannot be bypassed by prompt injection, jailbreak, or workflow re-routing. Other governance products wrap the agent. Knox lives with it.

  • ALLOW
  • BLOCK
  • REQUIRE APPROVAL
  • ESCALATE
  • SANITIZE
  • LOG ONLY

Every Knox decision explains itself.

When Knox allows, blocks, or escalates, the decision includes the requested action, the actor, the resource, risk classification, matched policies, approval requirement, and audit event. Every decision is explainable, reviewable, and recorded.

Example · decision trace

  1. Action requestedSend external email
  2. Actor identifiedSales Follow-Up Worker
  3. Target resourcecustomer@acme.com
  4. Risk classifiedexternal_comm + pii
  5. Policies matchedExtComm v2, PII v3
  6. Approval requirementManager approval
  7. Decision returnedAPPROVAL REQUIRED
  8. Audit event recordedevt_8f3a... → Audit

Every Knox decision answers: why was this allowed, why was this blocked, which policy applied, who approved it.

Knox guards the moments where AI moves from suggestion to execution.

Knox is built for the point where a worker stops talking and starts acting. That includes business actions, system actions, memory actions, browser actions, and external communication.

  • External Communication

    Emails, SMS, website responses, ecommerce replies, vendor messages, social posts, customer-facing outputs.

    Example: “Send email to customer → approval required”

  • Tool Calls

    CRM updates, helpdesk changes, calendar events, billing actions, MCP tool calls, internal API requests, external workflows.

    Example: “Update CRM stage → policy checked”

  • Memory Changes

    Canonical memory writes, protected memory reads, memory merges, rollbacks, and memory proposals.

    Example: “Merge canonical memory → review required”

  • Financial Actions

    Refunds, credits, discounts, pricing changes, invoice updates, renewal concessions, billing changes.

    Example: “Issue refund → finance approval”

  • Legal & Compliance

    Claims, policy exceptions, contract reviews, compliance decisions, regulated communication, restricted data access.

    Example: “Approve claim recommendation → compliance review”

  • Browser & Computer

    Authentication, deleting records, submitting forms, changing settings, accessing secrets, deploying code, modifying production data.

    Example: “Deploy to production → blocked without approval”

Observation is low risk. Execution must be governed.

Reusable policy packages, attached to workers, tools, memory, and channels.

Knox policy sets define how workers behave across real business risk areas. Attach a policy package to a worker, a worker template, a tool, a memory repository, a channel, an external agent, or an environment.

  • External Communication

    Controls what workers can send to customers, vendors, partners, and public channels.

  • PII & Sensitive Data

    Prevents sensitive customer, employee, financial, health, or internal data from leaking into unsafe actions.

  • Tool Permissions

    Controls what tools workers and subagents can call, and what operations require approval.

  • Memory Access

    Governs protected memory reads, canonical memory writes, merges, rollbacks, and proposals.

  • Financial Actions

    Requires approval for refunds, credits, pricing changes, discounts, billing updates, and contract-value changes.

  • Legal & Compliance

    Requires human review for policy exceptions, claims decisions, legal notices, regulated advice, and compliance-sensitive decisions.

When approval is needed, Knox routes the action to the right person.

Not every risky action should be blocked. Some should pause, collect context, and request approval from the right human — a manager, compliance reviewer, account owner, finance lead, legal team, or admin.

Approval Required

Sales Follow-Up Worker

Action
External email to customer@acme.com
Policy triggered
ExtComm v2 (PII detected)
Context
Hi Sarah — following up on our conversation about the Q4 rollout. I've attached the updated timeline and pricing summary we discussed. Let me know if Thursday works for a quick sync.
ApproveEdit & ApproveRejectEscalate

Routed to: Manager · Expires in 4h

Example

Knox keeps humans in control at the moments that matter — and gets out of the way everywhere else.

Bring Knox to the agent stack you already have.

Knox isn’t locked to Qoris Workers. Teams running agents on LangChain, CrewAI, AutoGen, Claude, or custom runtimes can connect Knox over MCP — without rebuilding the stack.

Same policy engine. Same decision trace. Same audit. The agent stays where it is. Knox travels to it.

Your stack → Knox → Governed.

  • LangChain
  • CrewAI
  • AutoGen
MCP
Knox
  • Scoped API keys
  • Tool permissions per agent
  • Memory access policy
  • Policy sets by environment
  • Full audit logging
  • Identity tracking

Safety prompts are not enough for enterprise AI workers.

Prompt guardrailsMonitoring toolsGeneric approvalKnox
Prevents bad actions before execution
Works across tools, memory, channels
Cannot be bypassed by prompt injection
Built for autonomous workers

Knox is the difference between AI assistance and governed AI execution.

Move from AI agents to governed AI workers.

Knox gives teams the control layer required to let AI workers act across tools, memory, workflows, channels, and external systems — safely.

Patent pending — U.S. 63/907,730 · NVIDIA Inception Program · Claude Partner Network member