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Solutions

One control point for every team that answers for AI agents

Vulnify is a runtime authorization layer: it sits between your agents and the actions they take, and decides in milliseconds whether each action may run. It does not scan code or prompts; it governs what agents actually do.

How it works

  1. 01

    Discover

    Register each agent, the integrations it uses and the resources it touches. Every call it makes shows up in the inventory.

  2. 02

    Decide

    Before a sensitive action, the agent asks Vulnify. The risk engine scores it 0-100 with the reasons, and your policies answer ALLOW, REVIEW or BLOCK.

  3. 03

    Enforce

    Blocked actions never run, reviews wait for a person, and the gateway injects credentials only on ALLOW, so agents never hold the secrets.

  4. 04

    Prove

    Every decision and approval lands in an append-only, hash-chained audit log, exportable to your SIEM and to compliance evidence.

By team

What each team gets

Security

See which agents can reach which data, and stop the risky actions before they happen.
  • Agent inventory with integrations, resources and permissions
  • Explainable risk score and reasons on every action
  • Per-agent baselines and anomaly alerts
  • Security events, attack simulator and SIEM export (JSON or CEF)

Platform and engineering

Add one call before sensitive tool calls, or route agent traffic through the gateway, without rewriting your agents.
  • Node and Python SDKs with adapters for model tool calls, LangChain and MCP
  • MCP and HTTP gateway with a credential vault: secrets are injected only on ALLOW
  • Idempotency keys, fail-open or fail-closed, test keys that decide in a sandbox
  • Monitor mode to roll out without blocking anything

Risk and compliance

Show who allowed what, when and why, with evidence you can hand to an auditor.
  • Append-only audit log with a per-organization hash chain and a verify endpoint
  • Evidence reports mapped to LGPD, ISO/IEC 42001, NIST AI RMF and the EU AI Act
  • Exports sealed with a SHA-256 digest
  • Metadata-only storage: record contents never reach Vulnify

Operations and business owners

Keep agents productive: people approve the rare risky action instead of blocking whole workflows.
  • Review queue with approver roles, a separate-approver rule and MFA step-up for high risk
  • Approve or deny from Slack
  • GitHub issues or Jira tickets opened for blocks and reviews
  • Dashboard with trends, a risk matrix and review aging

Where to go next

Use cases

Examples by agent type and by industry.
See use cases →

Integrations

The SDKs, adapters, gateway and providers that work with Vulnify today.
See integrations →

Trust center

How Vulnify protects your data, stated plainly.
Visit the trust center →

See every agent decision in minutes

Open a personal demo sandbox with sample agents, policies and events, or send your first decision from code.