See Risks Coming.
Before They See You.

Risk Analytics returns numerical scores for wallet exposure, counterparty risk, jurisdictional risk, and protocol risk, grounded in 12,173+ risk categories. Scores are explainable — every number comes with the evidence that produced it — so risk managers can justify decisions to auditors and boards.

The engine combines on-chain heuristics (clustering, path tracing, behavioural signatures) with off-chain intelligence (sanctions, adverse media, entity attribution) and configurable thresholds. Teams tune rules to their risk appetite, and the platform learns from investigator feedback to suppress known-good patterns.

Every agent response is grounded in retrieved source material — regulations, policies, on-chain records — and cited inline. When an agent cannot find supporting evidence, it says so instead of guessing. Outputs are auditable end-to-end for regulator review.

Investigations that previously took hours of manual tracing can be completed in minutes. The Risk agent surfaces counterparties, cluster attribution, sanctions proximity, and policy-relevant citations in a single case view, and outputs an auditable investigation record.

Yes. Yirifi's risk model is designed to run standalone for crypto-native firms or to feed existing ERM platforms via API. One model serves both modes, which matters for banks and asset managers extending into digital assets without rebuilding their risk stack.

Yes. Obligations extracted from the Regulatory Database can be tagged against your firm's risk appetite dimensions — market, operational, regulatory, legal, reputational. Governance teams see which obligations are within appetite and which require escalation, with the evidence that supports each classification.

For banks and asset managers adding digital asset risk coverage, implementation typically involves a scoping call to map the existing ERM framework to Yirifi's risk taxonomy, API configuration for data feed integration, and a 2–4 week calibration period where the team tunes risk thresholds to the firm's appetite. Yirifi runs alongside existing ERM tools rather than replacing them — risk scores feed into the broader risk register. Most teams are producing board-ready risk reports within the first month. See also: Can Yirifi integrate with existing enterprise risk management systems?

Yirifi structures PoCs around a defined scope — typically one jurisdiction, one blockchain, and one use case such as counterparty screening or transaction monitoring. The PoC period runs against live data, not a demo environment, so you validate coverage and output quality against your actual risk scenarios before any commercial commitment. Scoping, access setup, and success criteria are agreed upfront. Most risk analytics PoCs complete within two to four weeks. See also: Is a free trial or proof-of-concept available?