open-knowledge

Least-privilege permissions

• Limit what the AI can read: Configure the knowledge base so the AI agent only accesses documentation it actually needs—not your entire internal wiki. Think of it like giving a contractor keys only to the rooms they work in, not the whole building.
• Separate credentials by function: If the AI connects to external systems (like databases or APIs), use dedicated login credentials for each connection with minimal access rights. Don't reuse your admin passwords.
• Audit who can modify content: Restrict editing permissions so only trusted team members can add or change documents the AI reads. Unauthorized changes could trick the AI into sharing the wrong information.
• Review agent capabilities regularly: Periodically check what actions and data sources your AI skill is actually permitted to access—remove any that are no longer needed.

Network isolation

• Keep it off public internet initially: Since this is an early-stage tool with limited real-world testing, run it on internal networks only until security testing is complete.
• Restrict outbound connections: Use firewall rules to limit where the AI can send data. Block all external destinations except those explicitly required (e.g., a single approved API endpoint).
• Scan dependencies before deployment: Before using this skill, have your security team review the underlying code libraries (dependencies) it relies on—new projects sometimes include risky or outdated components.

Monitoring

• Log all knowledge base queries: Record what the AI searches for and retrieves. This creates an audit trail if something goes wrong and helps you spot suspicious patterns.
• Alert on unusual data access: Set up automatic alerts if the AI suddenly queries sensitive documents it normally doesn't touch, or requests unusual volumes of data.
• Track credential usage: Monitor when and how credentials are used to connect to external systems. Unexpected login attempts or timing changes warrant investigation.

Red flags to watch for

• AI returns sensitive information unprompted: If the agent volunteers passwords, personal data, or confidential details without being asked, stop using it immediately and investigate why access controls failed.
• Unexpected changes to knowledge base content: If documents appear modified or new unauthorized files show up, assume the system has been compromised.
• Security alerts from underlying dependencies: Watch vendor notifications about the code libraries this tool uses. A critical vulnerability in a "helper library" can expose your entire setup.
• Unexplained data or traffic patterns: Sudden spikes in query volume, requests to new external systems, or large data transfers may indicate unauthorized use or a breach in progress.