Allow
The action matches policy and can proceed.
Ledgix sits between your agents and the actions they take. Before an agent sends a regulated message, updates a record, touches sensitive data, triggers a workflow, or calls a tool, Ledgix decides whether to allow it, block it, or route it for human review.
Agents are moving from chat into real workflows: payments, customer records, PHI, claims, legal outputs, HR decisions, security changes, and regulated communications.
The blocker is no longer whether the agent works. It is whether legal, security, compliance, risk, and operations can approve what the agent is allowed to do.
Agents can send messages, update systems, trigger workflows, or call tools before anyone confirms whether the action is allowed or needs human review.
Security and compliance teams slow down deployments because they cannot see which actions are allowed, which need review, and which should be blocked.
Logs tell you what happened after the agent acted. Ledgix controls the action before it happens.
Ledgix sits in the action path of your AI agents. When an agent attempts a sensitive action, Ledgix checks your rules, evaluates the context, and decides what happens next.
The action matches policy and can proceed.
The action is outside scope, too risky, or not allowed.
A human needs to approve before the agent continues.
The decision is saved after enforcement.
Why now
Several weeks
Manual security reviews can add several weeks to AI application deployment.
Source: AWS/Cisco11%
Only 11% of agentic AI use cases reached production in the last year.
Source: Camunda14.4%
Only 14.4% of organizations have full IT/security approval for their entire AI-agent fleet.
Source: Gravitee97%
97% of organizations with AI-related incidents lacked proper AI access controls.
Source: IBMApprove agent actions around fraud, AML, onboarding, refunds, payments, and customer records.
Control agent access to PHI, clinical intake, patient messages, pharmacy workflows, and provider-reviewed outputs.
Approve claims, underwriting support, fraud escalation, policy changes, and customer-facing communications.
Route contract redlines, legal self-service, M&A review, and compliance outputs for human approval.
Control candidate screening, assessments, employee records, and workforce decisions before agents influence outcomes.
Approve remediation, access changes, credential actions, and incident-response workflows before agents affect production.
Runtime security tools help detect unsafe or malicious agent behavior. Ledgix focuses on the business decision: should this agent be allowed to take this action, in this workflow, right now?
Answer: Is this malicious or unsafe?
Detect prompt injection, data leakage, malicious tool use, and unsafe behavior.
Answer: What happened after the agent ran?
Show what agents did after the fact.
Answer: Should this business action be allowed right now?
Decides whether the agent action should happen before it executes.
Ledgix does not wait for an incident report. It sits in the live execution path and makes a decision while the agent is trying to act.
SDK middleware stops the outbound call before your integration runs.
The Judge checks intent against live
policy: approve, deny, or escalate.
A short-lived A-JWT scopes this action only. The next section unpacks the payload.
The API call runs under that token.
Nothing broader, nothing stale.
Each approved call appends a TLO to your signed, Merkle-chained ledger.
Enterprises are blocking agents because no one can clearly define what the agent is allowed to do in production. Ledgix gives security, legal, compliance, risk, and operations a runtime approval layer for agent actions before they touch real workflows.
Ledgix helps enterprises say yes to agents without giving them unlimited authority.
Book a 30-minute walkthrough. We'll show how Ledgix sits between your agents and sensitive actions, how policies decide allow/block/escalate, and how human review fits into the workflow.
Or email us at contact@ledgix.dev