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Runtime AI Security & Governance

Secure & Govern Your
Enterprise AI Agents

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

  • Tenant-isolated by design
  • MCP-native
  • Provider agnostic
  • Complete audit trail

Why now

AI agents are acting inside your business. Are you in control?

Security tools built for people and servers were not designed for autonomous software that decides what to do next.

Agent sprawl and shadow AI

Teams adopt coding assistants, copilots and custom agents faster than security can inventory them. You can't govern what you can't see.

Tool access without guardrails

Agents call MCP servers and APIs with broad credentials. One prompt injection or misconfiguration can reach production systems and sensitive data.

No evidence when auditors ask

Logs show what happened after the fact, scattered across tools. Regulators and customers want proof of what was allowed, blocked and why.

Complete AI Agent Security

From discovery to enforcement. Not just visibility: actual preventive control.

Preventive Enforcement

Block unauthorized model access, MCP tool calls, and data egress before execution, not after.

Agent Discovery

Automatically discover AI agents, shadow AI usage, MCP servers, and model connections across your organization.

Workload Identity

Cryptographic agent identities with scoped permissions. Know exactly which agent did what, with which authority.

Policy Engine

Deterministic, versioned policies with simulation mode. Test before enforcing. Roll back instantly.

MCP Security

Inline proxy for MCP tool calls. Evaluate, block, redact, or require approval, per tool, per agent, per environment.

Execution Graph

Full DAG of every agent action: what was allowed, blocked, restricted, and why. Tamper-resistant audit trail.

How AssureLens Works

Deploy in minutes. Enforce in real time.

  1. Step 1: Deploy Sensors

    Install lightweight sensors on developer machines and servers. One command.

  2. Step 2: Discover AI Usage

    Automatically map agents, models, MCP servers, tools, and data flows.

  3. Step 3: Define Policies

    Create governance rules. Simulate impact. Promote from audit to enforcement.

  4. Step 4: Enforce & Protect

    Block unauthorized actions in real time. Contain threats automatically.

What You Can Enforce

Block Unauthorized Models

Prevent agents from using unapproved AI models or sending data to non-enterprise endpoints.

Effect: deny | Provider: * | Model: not in approved list

Require Approval for Production Writes

Any agent writing to production resources must get human approval first.

Effect: approval_required | Environment: prod | Write: true

Prevent Sensitive Data Egress

Block PII, secrets, and restricted data from being sent to external systems.

Effect: deny | Classification: restricted | Destination: external

Quarantine Runaway Agents

Automatically contain agents that exceed risk thresholds or exhibit anomalous behavior.

Trigger: risk_score >= 95 | Action: quarantine + revoke tokens

Questions we hear most

What does AssureLens do?

AssureLens is a runtime security and governance control plane for enterprise AI agents. It discovers agents and the models, MCP servers and tools they use, evaluates high-risk actions against your policies before they execute, and keeps a complete record of what was allowed, restricted or blocked.

How is this different from logging or observability tools?

Observability tells you what happened. AssureLens can also decide, in line, whether an action may proceed: block it, redact data, or require human approval. Every decision is recorded with the reason.

Can I test policies before enforcing them?

Yes. Policies are versioned and can run in simulation mode first, so you can see what they would have blocked before you promote them to enforcement. You can roll back to an earlier version.

Is my data kept separate from other customers?

Yes. Each customer organization is isolated in its own tenant, with its data kept separate from every other tenant.

What happens in a demo?

It is a 30 minute conversation with an AI security specialist, focused on your environment. You pick a time on the demo page. Booking a demo does not create an account or start a trial.

See all questions

Ready to Secure Your AI Agents?

See AssureLens on your own AI estate in a 30 minute conversation.