Runlayer is now offering secure OpenClaw agentic capabilities for large enterprises, providing a solution to the growing security concerns surrounding the use of autonomous AI agents in the workplace. Since its launch in November 2025, OpenClaw has become increasingly popular among solopreneurs and employees of large enterprises, despite the documented security risks associated with its use.
The security risks associated with OpenClaw are largely due to its architecture, which grants the agent root-level shell access to a user’s machine, effectively acting as a digital “master key”. This lack of native sandboxing means that there is no isolation between the agent’s execution environment and sensitive data, making it vulnerable to prompt injection attacks. According to Runlayer CEO Andy Berman, it took one of their security engineers just 40 messages to take full control of OpenClaw and tunnel in to control it fully. The primary technical threat identified by Runlayer is prompt injection, where malicious instructions are hidden in emails or documents that can “hijack” the agent’s logic.
Runlayer‘s solution, “OpenClaw for Enterprise,” offers a governance layer designed to transform unmanaged AI agents from a liability into a secured corporate asset. The company’s ToolGuard technology introduces real-time blocking with a latency of less than 100ms, analyzing tool execution outputs before they are finalized to catch remote code execution patterns. According to Runlayer‘s internal benchmarks, this technical layer increases prompt injection resistance from a baseline of 8.7% to 95%. The Runlayer suite for OpenClaw is structured around two primary pillars: discovery and active defense, with tools such as OpenClaw Watch and Runlayer ToolGuard designed to monitor and enforce security protocols.
The market response to Runlayer‘s solution has been positive, with several high-growth companies, including Gusto, Instacart, Homebase, and AngelList, already using their security services. As the cost of tokens drops and the capabilities of models like “Opus 4.5” or “GPT 5.2” increase, the urgency for this infrastructure only grows. According to Berman, “The question isn’t really whether enterprise will use agents, it’s whether they can do it, how fast they can do it safely, or they’re going to just do it recklessly, and it’s going to be a disaster”.
The future of AI in the workplace may not be found in banning powerful tools, but in wrapping them in a layer of measurable, real-time governance. With Runlayer‘s solution, companies can provide a governed, safe, and secure way to roll out AI, enabling them to take advantage of the benefits of autonomous AI agents while minimizing the security risks. As Berman concluded, “The goal is no longer to be the person who says ‘no,’ but to be the enabler who brings a ‘governed, safe, and secure way to roll out AI’”.
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