Best LLM Red Teaming Tools 2026: 6 Scanners Compared
Promptfoo, Garak, PyRIT, DeepTeam, Lakera Red, and Mindgard compared on approach, pricing, and what they actually catch before an LLM app ships.
Articles Tagged "Prompt Injection"
Claude Code Drops Approval Prompts by Default
Anthropic is making Claude Code's auto mode the default for Pro, Max, and Team plans on August 14, citing a study where a classifier caught 89% of dangerous commands versus 13.6% for human reviewers.
Best LLM Firewalls 2026: Enterprise AI Security Compared
We tested four enterprise LLM firewalls - Milgram, Lakera Guard, Palo Alto Prisma AIRS and Prompt Security - on prompt injection detection, data leakage prevention, enforcement and inference cost.
AI Security Research and Incident Coverage
Tracking AI supply-chain attacks, agent exploits, prompt injection, model leaks, and the real-world incidents shaping AI security today.
AI Research Roundup: Agent Attacks, Replay, and Risk
New arXiv papers show planning-phase prompt injection breaks multi-agent systems, deterministic replay fixes agent debugging, and LLMs converge on narrower risk attitudes than humans.
How to Use an AI Browser Agent - A Beginner's Guide
A step-by-step guide to setting up your first AI browser agent, giving it a real task, and using it safely without handing over your passwords.
MCP Exploit Risk, Sycophancy Scores, and Agent Self-Harm
New research reveals MCP error messages triple agent attack success rates, ranks eight models on sycophancy with Claude scoring best, and finds self-evolving agents make 30-42% false edits.
ChatGPT Lockdown Mode Targets Prompt Injection Data Theft
OpenAI's new Lockdown Mode cuts the network exits that prompt injection attacks use to steal data from ChatGPT - but won't stop malicious instructions from entering the model in the first place.
Google AI Overviews Treat 'Disregard' as a Command
Google's new AI Overviews respond to words like 'disregard,' 'ignore,' and 'dismiss' as LLM instructions rather than vocabulary queries, leaving users with blank search results.
Unsafe Agents, Rising AI Tides, and Training Traps
Three new papers on agent prompt injection attack rates, MIT's broad-based AI automation finding, and a silent normalization-optimizer coupling failure in LLM training.
DeepMind Maps Six Attack Traps Targeting AI Agents
A Google DeepMind paper introduces the first systematic taxonomy of adversarial traps that can hijack autonomous AI agents - and every category already has working proof-of-concept exploits.
JBDistill Generates Its Own Jailbreaks - 81.8% Attack Rate
Johns Hopkins and Microsoft's JBDistill achieves 81.8% attack success rate across 13 LLMs by auto-generating fresh adversarial prompts on demand.
