Best AI red teaming and LLM security testing tool
3 models · updated 2026-07-12
The verdict
Promptfoo leads — All 3 models rank Promptfoo the top pick.
Combined ranking
- 1GPT #1Claude #1Gemini #1
Best overall mix of broad attack coverage, agent/RAG testing, configurable multi-turn strategies, CI/CD automation, extensibility, and accessible open-source tooling
Claude The de facto open-source standard for LLM red teaming — huge attack/plugin library (prompt injection, jailbreaks, PII leaks, agent-specific exploits), config-as-code that drops into CI/CD, active community, and a smooth path from free local scans to enterprise reporting
Gemini Leading CI/CD integration, support for over 50 automated test types, and high customization make it the developer standard for continuous LLM security evaluation.
To stay #1per GPT Make advanced red-team generation fully local and open-source instead of relying partly on hosted services
per Claude Deeper runtime/production attack simulation for deployed multi-agent systems, not just pre-deployment test suites
per Gemini Needs better out-of-the-box UI-based configuration and visualization to make it accessible to non-developer security teams.
- 2GPT #4Claude #2Gemini #3
Battle-proven by Microsoft's own AI Red Team across 100+ genAI products, flexible Python orchestration of multi-turn and multi-modal attacks, strong converter/scorer architecture for custom adversarial campaigns
Gemini Designed specifically by Microsoft for executing advanced multi-turn adversarial tactics like crescendo attacks across complex agent configurations.
GPT Highly flexible, model-agnostic framework for orchestrating multi-turn and multimodal attacks, custom targets, converters, scorers, and human-led security research
To rank higherper GPT Add a polished turnkey interface and simpler production CI workflow
per Claude Lower the engineering barrier — it's a framework not a product, so teams without dedicated red-team engineers struggle to operationalize it
per Gemini Setting it up has a steep learning curve and demands heavy manual scripting compared to standard CLI scanners.
- 3GPT #5Claude #3Gemini #2
An incredibly comprehensive open-source CLI scanner with a large, active registry of specialized probing modules for rapid prompt injection and data leakage discovery.
Claude The broadest ready-made probe library for LLM vulnerability scanning (hallucination, data leakage, jailbreaks, toxicity), simple one-command scans, research-grade rigor and free
GPT Mature open-source LLM vulnerability scanner with a large probe ecosystem, reproducible testing, broad model support, and strong value for baseline security assessments
To rank higherper GPT Expand beyond model-centric probes into stateful end-to-end agent, tool, and RAG exploitation
per Claude Modernize reporting and remediation guidance — findings are raw and researcher-oriented, needing translation before security teams can act
per Gemini Lacks robust native support for complex multi-turn stateful conversations and multi-modal inputs.
- 4GPT #2Claude #4Gemini #4
Strongest enterprise offensive-security platform for adaptive agent attacks, infrastructure reconnaissance, multimodal testing, exploit validation, and compliance-ready reporting
Claude Leading commercial continuous automated red teaming (DAST-for-AI), attacks deployed models and agents at runtime rather than just prompts, strong enterprise compliance mapping (MITRE ATLAS, OWASP LLM Top 10)
Gemini Enterprise-ready commercial platform combining automated threat simulation with live guardrails and runtime LLM security monitoring.
To rank higherper GPT Offer transparent self-serve pricing and a meaningful community edition
per Claude More transparent pricing and a self-serve tier so smaller teams can adopt without an enterprise sales cycle
per Gemini Needs a simplified self-service tier and open-source integrations to appeal to smaller engineering teams.
- 5GPT #3Claude —Gemini #5
Excellent automated scans for agents and RAG systems, strong hallucination and business-risk testing, actionable reports, and an approachable SDK-plus-dashboard workflow
Gemini Strong focus on scanning business logic alignment, hallucinations, and biases alongside security vulnerabilities for LLM agents.
To rank higherper GPT Deepen adaptive multi-step exploitation of tool-using agents
per Gemini Needs to expand its repository of automated adversarial jailbreak vectors to match dedicated security-first tools.
- 6GPT —Claude #5Gemini —
Purpose-built automated pentesting for conversational AI and agentic apps, simulates thousands of domain-specific attack scenarios pre- and post-deployment, fast time-to-value with remediation suggestions
To rank higherper Claude Broader coverage beyond chat/agent interfaces into model-supply-chain and infrastructure-level AI attack surface
Just missed the top 5
GPT HiddenLayer AISec Platform — strong enterprise attack simulation and broader AI security coverage, but less accessible and developer-friendly than the top five · DeepTeam — easy open-source red teaming with useful attack methods, but its ecosystem, maturity, and enterprise workflow remain thinner
Claude Lakera Red — strong red-team service and Gandalf-derived attack data, but post-Check Point acquisition it's increasingly bundled into a guardrails platform rather than a standalone testing tool · Giskard — excellent open-source LLM test coverage for quality and bias, but its adversarial/red-team depth trails the dedicated security tools
Gemini Stingrai — hybrid agentic platform that offers great precision but requires human pentester validation which slows automated pipelines · XBow — excellent autonomous penetration testing for API/web but lacks deep specialized focus on LLM safety alignment risks
By model
ChatGPT
- 1.Promptfoo
- 2.Mindgard
- 3.Giskard
- 4.PyRIT
- 5.Garak
Claude
- 1.Promptfoo
- 2.PyRIT
- 3.Garak
- 4.Mindgard
- 5.SplxAI
Gemini
- 1.Promptfoo
- 2.Garak
- 3.PyRIT
- 4.Mindgard
- 5.Giskard
Tracked by ModelsAgree · rank 1 = 5 pts … rank 5 = 1 pt · re-polled continuously