Secure your AI Agents and MCP Gateways with Policy-driven Authorization

As organizations adopt AI agents, large language models (LLMs), and Model Context Protocol (MCP) gateways, securing access to enterprise data, tools, and services becomes increasingly complex. Traditional access controls aren't designed for autonomous AI workflows, making fine-grained authorization essential for reducing risk and ensuring every request is evaluated according to business policy.

Govern AI Access with Policy-driven Authorization

We’ll break down how policy-driven authorization can protect AI systems such as LLMs, MCP, and RAG pipelines, ensuring the right access to the right data at the right time.

This webinar addresses:

• Why authentication alone isn't enough to secure AI agents, MCP gateways, and LLM-powered applications.
• How policy-driven authorization protects AI tools, enterprise data, and multi-agent workflows with fine-grained access control.
• A live demonstration showing how Axiomatics secures AI interactions with centralized authorization policies.

Speakers