How we rank vendors
There is no single best AI red teaming vendor. A team that tests frontier models for biosecurity risk is the wrong call for a bank that needs its customer chatbot checked for prompt injection. So we don't publish star ratings. We publish picks for specific needs, and we explain each one.
What we look at
- What they test. LLM apps, agents and tool use, RAG systems, foundation models or multimodal systems, and which attack classes they cover.
- How they test. Human-led engagements, automated platforms, crowdsourced programs or a mix, and how findings are reported and retested.
- Framework mapping. Whether results map to OWASP Top 10 for LLM Applications, MITRE ATLAS, NIST AI RMF, ISO/IEC 42001 or the EU AI Act, as the vendor states.
- Evidence of work. Published research, public benchmarks, government or lab partnerships, and named customers.
- Trust. Certifications such as SOC 2 and ISO 27001, data handling, and who owns the company after the recent wave of acquisitions.
- Track record. Time in market, consistency of claims, and any public incidents or controversies.
Where our facts come from
Every fact on a vendor page links to a source: the vendor's own site, acquisition and funding announcements, papers, government pages or reputable press. When something isn't public, we say "not disclosed". We never guess customers or prices.
How often we check
This market moves fast, with frequent acquisitions. We recheck every vendor at least once a quarter. Each page shows when it was last reviewed.
Corrections
Vendors and readers can send corrections with a source to editors@bestairedteamingcompanies.com. We fix verified errors within five business days, whether or not the vendor advertises.
Money
Vendors can buy clearly labeled sponsored listings. That never changes our picks or the order of our tables. The details are in our advertising disclosure.