Secure Agentic AI

AI Agents Are Acting on Behalf of Your Employees. Who Authorized Them?

AI agents are initiating payments, accessing customer records, executing trades, and connecting to enterprise systems through MCP and A2A protocols. SmartFlow provides the governance layer that ensures every agent action is authorized, scoped, auditable, and revocable.

Key capability:

The Agentic AI Governance Gap

The March 2026 OpenClaw incident exposed what happens when AI agents connect to enterprise systems without governance. Over 21,000 exposed instances. OAuth tokens granting broad access. Agents moving laterally across Slack, Google Workspace, and internal APIs without triggering security alerts.

The problem is architectural. AI agents that can take actions in the real world require fundamentally different security controls than AI systems that only generate text. Traditional IAM was designed for humans clicking buttons. AIDA is designed for autonomous software acting on delegated authority.

How SmartFlow Governs Agents

AIDA: Agent Identity and Delegated Authority

Every AI agent receives a cryptographic credential that specifies exactly what it can do. A ReadOnly agent cannot initiate a payment. A payment agent cannot exceed its transaction limit. An agent authorized for Account A cannot access Account B.

MCP Proxy Governance

SmartFlow sits inline on MCP tool invocations. Every call from an agent to an external tool passes through SmartFlow's policy engine. The gateway verifies the agent's AIDA credential, checks the tool against the authorized scope, enforces content policies, and logs the complete interaction.

A2A Protocol Governance

When agents communicate with other agents, SmartFlow governs the inter-agent channel. It verifies that both agents have valid credentials and that the data exchanged complies with information barrier and DLP policies.