Head-to-head · AI Red Teaming Tools
AgentSeal vs Promptfoo
AgentSeal leads on 0 checks, Promptfoo on 0, and 2 are even. Who comes out ahead on the 2 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreAgentSeal · 9.4/10
- Free planboth
- Most featuresAgentSeal · 1 of 2
AgentSeal scores higher on our rubric for ai red teaming tools: 9.4 against 9.3 out of 10; our editors rank them #1 and #2.
AgentSeal is the better fit for continuous agent and MCP security testing. Promptfoo is the better fit for broad open-source AI evaluation and red teaming.
- AgentSeal fits best
Continuous agent and MCP security testing
- Promptfoo fits best
Broad open-source AI evaluation and red teaming
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Side by side
| Feature | AgentSeal 9.4/10 Visit ↗ | Promptfoo 9.3/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.4 | 9.3 |
| Ranking | #1 in AI Red Teaming Tools | #2 in AI Red Teaming Tools |
| Best for | Continuous agent and MCP security testing | Broad open-source AI evaluation and red teaming |
| Pricing model | Free plan + paid | Free plan + paid |
| Starting price | — | — |
| Free plan | ✓ | ✓ |
| Free trial | — | — |
| Deployment | Cloud, Self-hosted | Cloud, Self-hosted |
| Platforms | Web | Web |
| Support | Email, Community, Docs | Community, Docs |
| Integrations | 12 integrations | 12 integrations |
| Built for | Solo, Small business, Mid-market, Enterprise | Solo, Small business, Mid-market, Enterprise |
| Features AgentSeal 1/2 · Promptfoo 0/2 | ||
| Custom tests | Not checked yet | Not checked yet |
| Continuous monitoring | ✓ (best) | Not checked yet |
| Specs | ||
| Attack categories | prompt extraction; instruction injection; data exfiltration; MCP tool poisoning; RAG poisoning; multimodal attacks; behavioral genome testing | Not checked yet |
| Target systems | system prompts; AI agents; HTTP endpoints; MCP servers; RAG pipelines; multimodal AI systems | Not checked yet |
| Automation level | Continuous | Not checked yet |
| Deployment | Hybrid | Not checked yet |
| Report exports | JSON; SARIF 2.1.0; JUnit XML; PDF; GitHub Actions step summary | Not checked yet |
| Our review | ||
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| Cons |
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| Our verdict | AgentSeal is an open-source security toolkit for developers, security teams, and organizations building or operating AI agents. It tests system prompts, AI agents, HTTP endpoints, MCP servers, RAG pipelines, and multimodal AI systems… Read the review → |
Promptfoo is an open-source CLI and library for evaluating, testing, and red-teaming large-language-model applications. It is designed for teams building AI applications that need to benchmark prompts, models, and RAG pipelines, inspect… Read the review → |
Strengths and trade-offs
AgentSeal — where it wins
- Broad probes cover prompts, agents, MCP, RAG, and multimodal systems
- Continuous monitoring with CI/CD outputs in JSON, SARIF, and JUnit
- Free plan includes audits, monitoring, SDKs, and a trust score breakdown
Where it doesn't
- Full vulnerability assessment and remediation require the Pro plan
- The Free plan includes community support rather than expanded support options
- Some advanced reporting and historical tracking are limited to Pro
Promptfoo — where it wins
- Combines automated red teaming with vulnerability scanning and safety evaluations
- Supports custom metrics, LLM judging, human review, and CI/CD quality gates
- Offers broad provider, CI/CD, API, web, and self-hosted integrations
Where it doesn't
- Community red teaming includes up to 10,000 probes per month
- Team sharing and continuous monitoring require the Enterprise plan
- Enterprise and On-Premise pricing is custom
- AgentSeal9.4/10 · Free plan
Continuous AI red teaming across agents, MCP, RAG, prompts, and multimodal systems.
Visit AgentSealFull verdict → - Promptfoo9.3/10 · Free plan
A broad open-source choice for evaluating and red-teaming AI applications.
Visit PromptfooFull verdict →
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All AI red teaming tools comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update





