
OpenClaw has evolved from a controversial AI platform that triggered nationwide Mac mini shortages and accumulated over 1,100 security advisories into a more refined AI tool for personal automation. The early version of the software ran with complete system permissions, granting the AI autonomous access to a user's personal email, private files, and smart home devices without adequate guardrails. Creator Peter Steinberger recently presented at AI Engineer Europe about fixing the platform's vulnerabilities, convincing the author to revisit OpenClaw for a practical use case.
The Broken Firewalls
The risk escalated rapidly because many early users lacked the technical expertise to secure their installations. This led to users accidentally exposing over 40k active systems to the public internet by leaving their configurations on default modes. Hackers quickly discovered that they could trick the AI into stealing stored passwords, leaking private data and executing malicious code simply by sending it a cleverly worded prompt.
Inside the Digital Cage
Recognizing the danger, the developer community quickly stepped in to transform the platform into a highly secure, practical AI assistant. Security teams introduced an isolated "sandbox" environment, which essentially forces the AI to work inside a digital cage. In this protected environment, the assistant can safely execute tasks but is strictly blocked from touching sensitive system files or communicating with unapproved websites.
A Safe Daily Companion
To ensure long-term safety, developers also built automatic security scanners that instantly block malicious commands and flag unsecured settings. Today, OpenClaw has successfully matured from a risky software experiment into a stable, trusted tool. People now confidently use it as a daily companion to manage schedules, draft code and automate routine tasks without exposing their private life to the internet.
The platform has resolved or closed approximately 650 of its 1,100+ security advisories, with most remaining issues classified as "slop reports", submissions that are overly polite or apologetic, which Steinberger identifies as likely AI-generated. This filtering system helps prioritize genuine security concerns over automated false positives.
Practical use cases
OpenClaw is being used in diverse ways to automate tasks, like overnight coding management, automated life/errand coordination and multi-agent business workflows. Users deploy it via chat apps like Telegram or Slack to connect local models, APIs and personal data repos into custom operational systems. It basically acts like a personal coordinator that you can text on your phone to look up information, organize files or control smart home devices without you having to do the manual work.