Final warning! Your AI assistant is packing up all your privacy and sending it to the dealer. What does a 91% success rate in prompt injection mean?

Imagine you have an all-powerful AI assistant. It can read any file on your computer, execute any system command, and remember everything about you. It sounds like science fiction, but the open-source project OpenClaw makes it a reality. However, market analysis points out that this deep integration introduces unprecedented security risks, and most self-hosted guides avoid discussing these concerns.

The more useful this assistant is, the greater its danger. It creates an unprecedented system: an entity that understands your work patterns, personal relationships, passwords, schedules, writing style, anxiety levels, and unfinished projects. It stores this information in a file called MEMORY.md and has a credential registry containing all API keys.

The risks mainly come from three aspects. First, your AI service provider can see everything. Unless you run a local model, every piece of information passes through the provider’s servers. Even if privacy policies promise not to use the data for training, they still process the data, possibly log it, and you cannot verify this.

Second, prompt injection attacks remain an unresolved challenge. A recent security assessment showed that prompt injection attacks against assistants like OpenClaw have a success rate of up to 91%, with an overall information extraction success rate of 83%. This means that if malicious commands are embedded in documents or web pages the assistant processes, it has a very high chance of executing them.

For example, hidden commands embedded in documents can cause the assistant to output specific strings after summarizing; instructions within HTML comments or code comments can manipulate the assistant’s behavior; a phrase like “As we discussed earlier” can lead the assistant to accept false premises. Attackers could use this to run malicious scripts, forward messages, or leak financial records.

Third, your memory file forms a deep psychological profile. It continuously accumulates data about your preferences, work, relationships, stress sources, and even time zone information. Combined with unencrypted chat logs and stored credentials, your OpenClaw directory essentially becomes a “toolkit for invading my entire life.”

So, why still use it? Because OpenClaw offers practicality unmatched by web chatbots. It can integrate into your workflow rather than be an external tool. The answer isn’t to avoid it but to deploy it consciously.

A detailed security guide proposes a nine-step plan to build a risk-controlled OpenClaw instance. The core principles are choosing providers that claim not to record data, implementing network isolation, configuring end-to-end encryption, installing protective skills, and limiting impact scope. The goal isn’t absolute security but wise risk management.

Specific steps include deploying on dedicated hardware like a Raspberry Pi, using Tailscale for exposure-free network services, employing Matrix for end-to-end encrypted communication instead of Telegram. Additionally, installing security skills like ACIP, PromptGuard, and SkillGuard to strengthen defenses against prompt injection.

Operational security is equally critical. Never disclose passwords or keys to the assistant; mark absolute prohibitions with the keyword “CRITICAL” in the SOUL.MD file; for more service credentials, use password managers with limited scope vaults; be cautious about content read by the bot, as each file is sent to the AI provider.

Furthermore, regularly rotate credentials, monitor logs, perform encrypted backups, and understand the system’s fundamental limitations. The success rate of prompt injection attacks remains high; trust in the provider’s privacy promises is a matter of choice; physical access and user errors remain weak points.

Ultimately, you will have an AI assistant running on controlled hardware, using privacy-focused providers, with no exposed attack surface, message encryption, and reinforced security measures. It’s far from foolproof, but compared to pasting every detail of your life into a public AI chat interface, this reflects a more conscious, responsible approach to technology use. Security is an ongoing practice, not a one-time finished product.

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