ComplyAdvantage
Vannus records that this vendor has not disclosed which model it runs. Every finding below is quoted to the vendor’s own document, or marked not disclosed where the vendor publishes nothing.
AI-driven financial crime risk data and detection — sanctions and PEP screening, adverse media, and transaction monitoring for banks, fintechs and payment firms.
Uses AI; provider not disclosed. ComplyAdvantage's own explainer page details LLM use across the platform — LLM-based adverse media classification, language models reading full article text to assign entity roles and FATF-aligned risk types, and 'AI agents are components that use LLMs/automation to perform specific tasks' — but no first-party page names a foundation model or model vendor. I checked the homepage, /mesh/agentic-workflows/, the 'How ComplyAdvantage uses AI' insights article, the agentic-AI and defensibility articles, llms.txt, and looked for a security/subprocessor page (/security/ 404s). Proprietary risk-scoring models are described, but those are ML scoring models, not a disclosed foundation model. We checked and found no first-party page naming it, so the criterion is excluded from the grade rather than counted against ComplyAdvantage.
Not yet assessed. We publish a sovereignty position only where the vendor documents one — we do not infer it from a domain or a company name.
Taken from the vendor’s own published material. Vannus does not hold these reports and has not reviewed their scope or dates — ask the vendor for the current report before relying on any of them.
Vannus publishes a nine-dimension trust framework — data sovereignty, training privacy, compliance posture, operational resilience, exit portability, and more. The heaviest criterion asks whether the tool builds its own AI or resells someone else's model; where the vendor discloses it, the grade cites the vendor's own documentation. No paid placements — scoring is walled off from affiliate revenue. See the methodology →