How to Secure Claude Computer Use in Production
Secure Claude computer use with isolation, least privilege, domain controls, prompt-injection defenses, confirmations, monitoring, and repeatable tests.
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Security thinking for the agentic era.
Practical guidance, independent reviews, and clear explanations for teams building AI agents that can take real action.
What Is MCP Security? Risks, Controls, and Trust Boundaries
Learn what MCP security covers, how host, client, server, identity, metadata, tools, and downstream systems create distinct trust boundaries.
Read articleHow to Audit an MCP Server: A Practical Security Checklist
Audit an MCP server from inventory and identity through tool schemas, downstream authorization, prompt injection tests, logging, and retesting.
Read articleIs Google Gemini Safe? Security Review
Evaluate Google Gemini security across data, identity, permissions, integrations, evidence, and rollout tests.
Read articleHow to Prevent Wallet Drains from AI Agents
Learn how to prevent Wallet Drains from AI Agents with bounded authority, practical controls, and repeatable security tests.
Read articleWhat Is an AI Gateway?
Understand AI Gateway, the main risks, the controls that matter, and how to test the complete path safely.
Read articleWhat Is a Model Inversion Attack?
Model inversion extracts information through repeated model interaction; it differs from direct database theft and membership inference.
Read articleWhat Is Denial of Wallet in AI Systems?
Denial of wallet targets metered spend: repeated requests, recursive agents, expensive tools, or scaling behavior can produce a damaging bill.
Read articleArbitrary Code Execution in AI Agents: Where the Boundary Breaks
AI agents turn code execution into a security boundary problem when untrusted input can influence commands under real credentials.
Read articleHow to Use ChatGPT Safely at Work: A Practical Checklist
Safe ChatGPT use starts with data classification, approved accounts, minimal inputs, source checking, and care with connected tools.
Read articleSecuring CLI AI Agents Without Killing Developer Flow
CLI agents need a narrow workspace, explicit command policy, isolated secrets, and tests that inspect actual filesystem and network effects.
Read articleModel Security Scanning: What to Test Before a Model Ships
Model security scanning combines artifact inspection with behavioral tests; neither one can cover the release alone.
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