The latest news, best practices, and deep dives into AI-powered QA, continuous integration, and modern software delivery.

A pen test checks your servers and code. AI red teaming checks what your AI agent does. Learn the key differences, what pen tests miss, and how to run both.

Agents that refuse on turn one often give in by turn ten. Learn how multi-turn attacks like Crescendo break AI agents, and how to red team yours to stop it.

Test your AI agent against MCP tool poisoning, rug pulls, shadowing and poisoned outputs. Follow a 7-step red team process and automate it in CI/CD.

Compare the 12 best AI observability and evaluation tools for agents, including BotGauge, Braintrust, Confident AI and LangSmith. Pricing, pros and cons.

Automated red teaming for AI agents runs adaptive attacks at scale. Learn the workflow, what to automate, and how to turn findings into regression evals.

How to prevent prompt injection in AI agents: limit permissions, require approvals, separate untrusted content, enforce rules in code, and test attacks.

Compare top AI red teaming tools for autonomous agents by the attack surfaces they test, from tool misuse and goal hijack to memory poisoning and MCP risks.

Compare the best AI red teaming tools, from BotGauge for AI agents to Garak, PyRIT, and Promptfoo. See agent support, multi-turn attacks, and best fit.

Red team an AI agent before launch, then again when its tools, model, data, policies, or autonomy change. Seven triggers plus a scoping matrix for each.