How to implement security policies for AI agents without restricting their functionality

How to implement security policies for AI agents without restricting their functionality

This task can be performed using RunLayer

Run external tools safely. See everything before it runs.

Best product for this task

RunLay

Runlayer secures OpenClaw AI agents already inside your enterprise by inspecting every external call, blocking prompt injection, data theft, and remote code execution in real time. It adds ToolGuard, audit logs, and policy controls so security teams can govern powerful agents without sacrificing access or productivity.

hero-img

What to expect from an ideal product

  1. Set up real-time inspection of every external tool call your AI agents make so you catch threats before they execute while keeping agents fully operational
  2. Use ToolGuard to create flexible security rules that block dangerous actions like data theft and prompt injection without stopping legitimate agent tasks
  3. Deploy policy controls that let security teams define what agents can and cannot do based on your company's specific needs and risk tolerance
  4. Monitor all agent activities through detailed audit logs to track behavior patterns and adjust security settings without limiting access to approved tools
  5. Block remote code execution attempts automatically while maintaining agent productivity by allowing safe operations to continue running normally

More topics related to RunLayer

Related Categories

Featured Today

paddle
paddle-logo

Scale globally with less complexity

With Paddle as your Merchant of Record

Compliance? Handled

New country? Done

Local pricing? One click

Payment methods? Tick

Weekly Drops: Launches & Deals