Agents

Timeless Security for AI Agents: Applying Proven Principles

The rapid evolution of AI agents is transforming how developers build applications, moving beyond simple chatbots to autonomous systems capable of...

Essential Credential Security for AI Agents: A Developer Guide

As AI agents become increasingly sophisticated and integrated into complex workflows, their ability to interact with external systems – from databases...

Building MCP-Compliant AI Agents: A Developer's Handbook

The rise of AI agents has ushered in a new era of autonomous software, capable of planning and executing multi-step tasks. However, the true power of...

Architecting Resilient AI Agents for Production Safety

As AI agents move from experimental prototypes to critical production systems, ensuring their safety and resilience becomes paramount. Unlike...

Least-Privilege Setup for AI Coding Agents

AI coding agents can save hours, but they can also turn a bad prompt, poisoned repo, or overpowered tool call into a real incident. The safest pattern...

Prevent Prompt Injection in AI Coding Agents

AI coding agents are vulnerable to prompt injection because they read and act on untrusted text from repos, docs, issues, search results, RAG stores,...

How to Sandbox AI Coding Agents Safely

AI coding agents are safest when you assume they will eventually run the wrong command, install the wrong package, or follow a malicious instruction...

Safe AI Coding Agents in Production: Practical Guardrails

AI coding agents can be used in production safely, but only when you treat them like powerful junior operators with fast hands and incomplete judgment....