AssureLens discovers AI agents across your organization, evaluates high-risk interactions before they execute, blocks unauthorized access, and preserves a complete trail of everything that was allowed, restricted, or prevented.
Built for enterprise security teams
From discovery to enforcement. Not just visibility — actual preventive control.
Block unauthorized model access, MCP tool calls, and data egress before execution — not after.
Automatically discover AI agents, shadow AI usage, MCP servers, and model connections across your organization.
Cryptographic agent identities with scoped permissions. Know exactly which agent did what, with which authority.
Deterministic, versioned policies with simulation mode. Test before enforcing. Roll back instantly.
Inline proxy for MCP tool calls. Evaluate, block, redact, or require approval — per tool, per agent, per environment.
Full DAG of every agent action — what was allowed, blocked, restricted, and why. Tamper-resistant audit trail.
Deploy in minutes. Enforce in real time.
Install lightweight sensors on developer machines and servers. One command.
Automatically map agents, models, MCP servers, tools, and data flows.
Create governance rules. Simulate impact. Promote from audit to enforcement.
Block unauthorized actions in real time. Contain threats automatically.
Prevent agents from using unapproved AI models or sending data to non-enterprise endpoints.
Effect: deny | Provider: * | Model: not in approved list
Any agent writing to production resources must get human approval first.
Effect: approval_required | Environment: prod | Write: true
Block PII, secrets, and restricted data from being sent to external systems.
Effect: deny | Classification: restricted | Destination: external
Automatically contain agents that exceed risk thresholds or exhibit anomalous behavior.
Trigger: risk_score >= 95 | Action: quarantine + revoke tokens
Deploy AssureLens and go from zero visibility to full enforcement in under an hour.
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