AI Red Teaming
Simulates adversarial attacks against an LLM app or agent reachable through an API endpoint, mapped to OWASP LLM Top 10, OWASP Agentic AI Top 10, NIST AI RMF and MITRE ATLAS, scores each finding by CVSS and returns the failed prompt, output and remediation guidance.
Find alternatives to AI Red Teaming
What it does
- Evaluation and observability
Sources
- Pricing
-
The Enterprise column ("Custom pricing", "Contact Us") ends with "Enterprise ++" followed by "AI red teaming module"; no figure is published for the module.
- Description
-
Official documentation · 21 Oct 2026
"Simulate adversarial attacks across OWASP Top 10 for Agentic AI." and "We replay thousands of adversarial probes and score every finding by CVSS."
- What it does
-
Official documentation · 21 Oct 2026
"Stress-test LLM apps against adversarial attacks."
- Sold within
-
Pricing page read with curl and the Enterprise column lists "AI red teaming module" under "Enterprise ++"; the wording does not say whether the module is included in the plan or bought on top, so no access term is written. The product page offers only "Contact sales".
- Name
-
Official documentation · 21 Oct 2026
Menu and page title "AI Red Teaming"; heading "Red Team Every Release."
- URL
-
Official documentation · 21 Oct 2026
Product-menu page "AI Red Teaming" ("Stress-test LLM apps against adversarial attacks."), in the vendor's sitemap and llms.txt.
- Deployment
-
Official documentation · 21 Oct 2026
"If your AI app is reachable via an API endpoint, that's enough." The platform is hosted; the page names no self-hosted option for this module.
- Interfaces
-
Official documentation · 21 Oct 2026
Platform product with a risk dashboard: "Run red teams continuously across every AI app you ship."
- Intended for
-
Official documentation · 21 Oct 2026
"The red team that fits in your governance stack." with proof for "security and compliance stakeholders".
Also from Confident AI
-
LLM Observability Platform
LLM Observability traces LLM applications, evaluates production traces, and alerts teams when quality metrics deteriorate.
-
LLM Evaluation Platform
Evaluates LLM applications and agents with 50+ research-backed metrics, mostly LLM-as-a-judge, over golden datasets and simulated multi-turn conversations run against any endpoint, with experiments that compare prompts or models and CI checks that block regressions.
-
DeepEval Developer tool
Open-source (Apache 2.0) framework that unit-tests LLM applications, agents, RAG pipelines and chatbots with pytest-native evals, 50+ research-backed LLM-as-a-judge metrics, synthetic golden generation and simulated conversations.
-
DeepTeam Developer tool
Open-source (Apache 2.0) LLM red-teaming framework that uses LLMs to simulate single- and multi-turn adversarial attacks across 120+ vulnerabilities and maps results to OWASP Top 10 for LLMs, MITRE ATLAS, NIST AI RMF and the EU AI Act from Python.
Open Confident AI in the directory
Something wrong here? Send a correction — quote this product id: confident-ai-ai-red-teaming.