Ledgix provides runtime approval for AI agents, intercepting actions such as regulated messages, record updates, data accesses, workflow triggers, or tool calls before they execute.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations deploying AI agents lack real‑time control over the actions those agents take, such as sending regulated messages, updating records, accessing sensitive data, or triggering workflows. Existing security and compliance processes rely on post‑action logs or manual reviews, causing deployment delays and exposing the organization to policy violations.
Solution
Ledgix provides a runtime approval layer that intercepts each agent request before execution. The platform evaluates the request against customizable legal, security, compliance, and risk policies, then automatically allows, blocks, or escalates the action for human review. Decisions are deterministic, logged, and can be integrated into existing AI pipelines without modifying the agent code. By moving enforcement to the point of action, Ledgix reduces deployment latency, improves observability, and ensures that only policy‑compliant operations are performed.
Target Audience
Primary customers are security, compliance, and risk teams within enterprises that deploy AI agents for automated messaging, data processing, or workflow automation.
Features
- SDK that wraps existing agents (pip install ledgix) with zero code changes to the agent logic
- Deterministic rule engine (not an LLM) that produces consistent allow/block/escalate decisions for identical inputs
- Real‑time policy evaluation with sub‑millisecond median latency (p50 clearance end‑to‑end)
- Automatic audit trail storing each decision for compliance reporting
- Human review workflow that routes flagged actions to designated approvers before execution
- Multi‑environment policy management (sandbox, test, production) with role‑based access controls
- Enterprise integrations including SSO/SAML, SCIM provisioning, and data residency options