A New Kind of Safety Net for Autonomous AI
AI agents can be incredibly useful, but their autonomous actions can be incredibly dangerous if not adequately controlled. That’s the problem Max Brin is trying to solve with OpenLeash, a product he describes as an ‘AV for AI’. The antivirus analogy might not be perfect — this isn’t your traditional malware scanner — but the core idea of protecting networks from software mishaps is something security practitioners understand well.
The name OpenLeash is more telling. It’s about keeping a controlling leash on unexpected and unwelcome actions that AI agents can trigger. The tool runs alongside the agent, providing an authorization layer designed to keep autonomous AI agents accountable, secure, and aligned with user intent when they perform real-world actions.
The Problem: Agents Inherit Permissions, Not Judgment
Here’s the core issue: agents tend to inherit the permissions of their user, but they don’t inherit any human situational awareness. That’s a dangerous combination. They have wide access and generous permissions across the network, and a single bad prompt, malicious tool, or compromised model can cause real damage.
An agent doesn’t behave as if it needs to ask permission. It just performs the instructions it has, interpreting them as best it can and doing what it’s told. OpenLeash is designed to provide a permission layer in the action, regardless of the agent’s interpreted commands.
How OpenLeash Intercepts Risky AI Agent Actions
OpenLeash intercepts agent intentions. Depending on the configuration set by the user, it monitors the agent’s actions and, where necessary, asks the user if the action should be allowed. If the answer is no, the action is paused. If yes, it proceeds. Brin describes it as ‘medication for AI anxiety’.
He gives a concrete example of the product in action. A misconstrued command, or an error in the agent coding, could cause it to silently delete a database without any human awareness.
“When it intends to delete my database, Leash intercepts this message, evaluates it, and tries to understand if the action is risky or not,” Brin explains. “In some cases, it’s definitely risky, and Leash will just block it immediately. But in other cases where Leash is not sure, it asks the user: did you intend to delete your entire database — or did you intend to upload your credentials to this or that or those websites. Basically, it’s like a guardian angel that intercepts all the conversations between an agent and network assets.”
This works across in-house agents, cloud agents, and third-party agents. The goal is to help users decide if they really want the agent to take that specific action.
Highly Configurable Guardrails
The product is highly configurable. Users can specify acceptable API endpoints, destinations, or payment limits in the configuration. For example, payments below a certain threshold can be allowed to proceed automatically, while payments above that threshold will need to be authorized by a human in the loop. The configuration can be amended at any time.
Built for the Rise of Vibe Coders
Brin sees OpenLeash as especially relevant to the new class of vibe coders. “AI is bringing us the ability to code and write software, even if we don’t know how to write a single line of code, and have zero understanding of cybersecurity,” he says.
“There are people who want to write software and create applications or agents to automate their own workload. They have ideas, and they’re a bit like entrepreneurs but with no technical knowledge. They download Claude Code or Cursor to develop AI agents to do what they want, and then turn to OpenLeash to control the agents.”
This is a growing concern in the industry. As more people without formal security training build and deploy agents, the need for guardrails becomes critical. The rise of agentic AI security concerns is directly tied to this democratization of software development.
Early Adoption and What’s Next
While OpenLeash is still described as under development, it’s also in active use. Brin has a list of planned additions and improvements that he suspects will take a couple of months to complete. Meanwhile, the existing product is already in active use by several hundreds of personal users and at least four organizations.
The timing makes sense. Governments and enterprises are starting to grapple with the security implications of autonomous agents. The UK government recently rolled out an agentic AI defense plan, and researchers keep uncovering critical vulnerabilities in agentic workflows — including prompt injection attacks that can hijack an agent’s actions.
In Brin’s own words, OpenLeash is an AV for AI that tethers reckless agentic behavior, acts as a guardian angel, and provides medication for AI anxiety. Whether that’s enough to keep pace with the speed of agentic attacks remains to be seen, but the idea of adding a human check to AI agent actions is gaining traction.
For security teams watching the new rules of engagement in agentic AI, tools like this represent a pragmatic middle ground between full autonomy and complete lockdown.