Fluxix sits between your agents and everything they touch: tools, data, code, and the web. It governs every action before it executes. Policy, approvals, audit, and cost control in one layer.
They query production databases, push code, send customer email, create cloud access, and call external APIs, often with more access than any new hire would ever be given, and none of the review.
The risk has shifted from bad answers to unauthorized actions.
SupportAgent tries to send 1,247 customer records to an external LLM. Outbound prompt scanned, call blocked, DPO notified.
0 records reached the modelDataSyncAgent attempts DROP COLUMN on the production payments table. DDL paused, DBA sign-off required, on-call alerted.
<1ms time to blockBillingProcessor passes a live Stripe key in an outbound request. Secret pattern detected, call blocked, security alerted.
27ms time to blockResearchAgent spawns 847 sub-agents in 4 minutes. Spend-velocity spike detected, loop terminated, report sent.
$47,240 projected · stopped at $341CodeAgent pushes 847 lines of auth changes straight to main with an agent token. Branch rules enforced, CTO notified.
main unchangedMarketingAgent queues email to 12,483 customers. Send held, routed to the marketing lead for approval.
0 sent unreviewedIllustrative scenarios from the Fluxix policy library.
Safe actions auto-approve. High-risk actions pause for the right human. Everything is recorded for replay.
A live inventory of every agent: owner, scope, environment, budget, status. You can't govern agents you can't see.
Pre-execution checks on tool, data, environment, model route, and risk. Policy sits before the action, not after the incident.
High-risk actions pause and route to the right reviewer: approve, deny, escalate. Humans in the loop only when it matters.
An immutable record of what each agent saw, decided, and called, inspectable for audits and postmortems. Proof, not memory.
Budgets, recursion limits, and spend-velocity alerts, with auto-termination for runaway loops. Agents need stop signs.
Governed access to tools, APIs, models, and the web, including every MCP tool call. Permissions, like every other system.
Agent tokens follow the same branch, CI, and production rules as human developers.
Hard blocks before agents touch secrets, IAM, customer data, or external APIs.
Every AI query or write against live data becomes a governed, replayable policy event.
One control plane across every agent framework, tool registry, and model route.
A 90-day pilot on one real or planned agent workflow, scoped with the founding team.
Safe by default means you start on staging, replay, or simulated traffic before anything touches live systems.
Policies, approvals, and audit built around your actual risk points instead of a generic demo.
A direct line to the founders, with weekly feedback loops that shape the roadmap.
No-cost pilot scoping for accepted design partners.
Apply for one of a limited number of design-partner pilots, or join the waitlist.