Controlling AI Output Starts With Controlling Access
You’re already building AI agents to streamline critical work. Trust SecureAuth to protect the data they touch.
Automation Without Access Control
AI agents are reshaping how work gets done—handling tasks, executing workflows, and surfacing insights faster than ever. And access to internal data makes outputs more relevant and accurate. But without real access control, most systems don’t distinguish between an intern and an executive, and that’s where sensitive financial, strategic, and operational data can slip through. As businesses automate, risk accelerates alongside productivity.
The Risk and the Impact
Giving AI agents broad access might make them powerful, but it also makes them dangerous. Without clear boundaries, confidential information can end up where it shouldn’t, leading to breaches, compliance failures, and reputational damage. To truly benefit from AI automation, companies must balance intelligence with control, empowering agents without exposing sensitive data to the wrong user. Addressing the risks of agentic AI requires a new layer of access control—one built for automation, speed, and the evolving threat landscape.
SecureAuth's Approach to AuthZ for MCP
SecureAuth: Securing AI for Real Business Use
SecureAuth brings proven Zero Trust access control to AI agents using our mature risk engine. Our platform adds a Microperimeter™ authorizer to your AI agent infrastructure to connect it with your existing workforce identity platform. Every AI action is evaluated in real time—confirming who the agent is acting for, what they can access, and whether the request aligns with your security standards. It’s a low-code, high-impact solution that integrates with your existing environment, enabling smarter AI adoption without introducing new risks.
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