Blog
Research, announcements, and insights from the AI red teaming community.
What's New in AI Security — March 2026
Monthly roundup of the most important AI security developments, tool updates, research highlights, and emerging attack vectors for March 2026.
The Prompt Injection Landscape in 2026
How prompt injection attacks have evolved from simple instruction overrides to sophisticated multi-stage exploitation chains.
The Complete Guide to Agentic AI Security
A comprehensive guide to securing agentic AI systems — covering tool use risks, multi-agent architectures, MCP security, memory poisoning, and practical defense strategies.
The AI Defense Landscape in 2026
A survey of the current state of AI defense mechanisms, from prompt shields to LLM judges, and where the arms race is heading.
Welcome to redteams.ai
Introducing the AI red teaming knowledge base — why we built it and what's ahead.
Red Teaming Cloud AI Services: A Practical Guide
Practical guide to red teaming AI services on AWS, Azure, and GCP — covering shared responsibility boundaries, service-specific attack surfaces, and cloud-native security controls.
Building a Production AI Defense Stack
How to build a layered AI defense stack for production deployments — covering input filtering, output monitoring, guardrails, anomaly detection, and incident response integration.
Building Your AI Red Team Lab
A practical guide to setting up a local AI red teaming lab with open-source models, testing frameworks, and realistic target applications.
Career Guide: Becoming an AI Red Teamer
A comprehensive career guide for aspiring AI red teamers — covering required skills, learning paths, certifications, job roles, and how to break into the field from different backgrounds.
AI Security Incidents: 2025-2026 Review
A roundup of notable AI security incidents from 2025 into early 2026, covering prompt injection in production, agent exploitation, and emerging attack classes.
Top AI Vulnerabilities of 2026
Analysis of the most impactful AI vulnerabilities discovered and exploited in 2026 — from MCP tool shadowing to multi-agent injection chains and reasoning model exploitation.
MCP Security: The New Attack Surface
Deep dive into Model Context Protocol security — analyzing tool registration attacks, transport layer risks, cross-server exploitation, and practical hardening strategies.
LLM Forensics: A Primer for Incident Responders
A primer on forensic investigation of LLM security incidents — covering evidence collection, log analysis, attack reconstruction, model behavior analysis, and forensic tooling.
Reasoning Model Security in 2026
How chain-of-thought reasoning models like o1, o3, and DeepSeek-R1 change the AI security landscape -- new attack surfaces and new defensive opportunities.
Lessons Learned from Fine-Tuning Security Research
Key lessons from researching fine-tuning security — covering alignment erosion, backdoor injection, data poisoning, safety evaluation gaps, and defensive strategies for fine-tuning pipelines.
The Multimodal Attack Landscape
As AI systems process images, audio, and video alongside text, the attack surface has expanded dramatically. Here's what red teamers need to know.
The State of AI Red Teaming in 2025
A survey of the AI red teaming landscape in early 2025 — emerging attack vectors, industry adoption, tooling maturity, and what to expect as the field evolves.