Mira is an independent execution-trust layer for autonomous AI. It governs consequential agent actions, can constrain or stop unsafe execution, and preserves independently verifiable evidence across models, clouds and agent frameworks — without turning customer data into Liora’s data lake.
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Agentic systems can call tools, access protected data, change infrastructure, approve transactions and hand work to other agents. The enterprise question is no longer only what the model produced, but whether the resulting action was authorised, controlled and provable.
Knowing which agent acted does not prove that a particular action, against a particular resource, was permitted in that context.
As autonomous workflows deepen, control mechanisms that add remote dependencies to consequential actions can introduce latency, fragility and platform coupling.
An audit trail can explain what happened afterwards. Enterprise governance also needs to constrain or stop unsafe execution and prove what control was applied.
A credit-approval workflow where an agent leaks personal data mid-run. Flip the switch and watch what changes — this is one of fourteen live scenarios in our demonstration build.
A live agentic credit workflow. One run leaks a customer’s protected data and completes normally. The next is governed by Mira — the leak is detected, execution is interrupted, the workflow is recovered and verifiable evidence is preserved.
Mira is designed to work across existing models, agent frameworks and infrastructure without requiring an enterprise to standardise on one AI ecosystem.
Governed interactions create authenticated provenance and execution evidence as they occur.
Preserve tamper-evident evidence that can be independently verified without exposing the underlying customer data.
Apply governance before consequential actions complete, allowing unsafe or non-compliant execution to be constrained or stopped.
Preserve or restore trusted workflow state and continue safely where policy permits — including across different models or providers.
Working implementation demonstrating governance, interdiction, recovery and verifiable evidence across agentic workflows.
Independent benchmarking, security review, enterprise deployment tooling, key lifecycle and framework integrations.
Apache-licensed SDK, documentation and open extension interfaces for developers building governed agentic systems.
Policy management, assurance, reconstruction and sovereign deployment capabilities for organisations operating consequential AI workloads.
Planned integrations for developer release.
Join the design-partner waitlist. We'll be in touch before the developer release — earliest sign-ups get first access.