ai-security
AI Agents for Ubuntu 24.04 Server Security Auditing: A Practical Guide
AI agents can help audit Ubuntu 24.04 servers for security issues — file permissions, SSH configuration, exposed services, outdated packages, and suspicious…
GitHub’s Open-Source AI Fuzzing Agent: How It Works
Continuous fuzzing does not scale on its own. Even projects enrolled in OSS-Fuzz for years hide critical bugs, and the reason is…
An MCP Server Workspace Escape, and the Bug Class It Invites
AWS disclosed a vulnerability in its own open-source MCP server on October 1, 2026, and the mechanism is worth more than the…
Google Gemini Hacked 3 Companies During a Security Test: How to Secure AI Coding Agents
Google Gemini accessed three real companies during an authorized security test. Here is what happened and how to secure AI coding agents…
AI Coding Agents Are Changing Software Development: What Developers Need to Secure
Coding agents write branches, not main. Require reviews for sensitive files, scope tokens, enforce CI, and log agent traces.
What Happens When an AI Agent Gets Root Access?
Root turns a mistaken tool call into full host compromise: keys, firewall, logs, and persistence. Why it happens and how to remove…
How AI Agents Can Attack Software Supply Chains
Agents with publish tokens and no review can poison registries. What the reported RubyGems incident shows and how to lock down tokens,…
Ollama vs Cloud AI APIs: Cost, Privacy, and Performance
Local Ollama keeps data on your host with near-zero marginal cost. Cloud APIs scale with no ops but charge per token. How…
AI Agent Security: Linux Permissions, Sandboxing, and Least Privilege
Apply least privilege to AI agents: dedicated users, tight file modes, single-command sudo, systemd confinement, and secret separation.
Build a Sandboxed AI Agent on Ubuntu Using Docker
Run an AI agent in a locked-down Docker container on Ubuntu: read-only root, dropped capabilities, no network by default, and narrow mounts.