Use Case
Payments Risk Intelligence
Graphyte assesses payment counterparty risk, utilizing transaction information and vast open-source information from news articles, regulatory enforcement actions, and company intelligence data.
Risk Intelligence on transaction counterparties
Alert risk scoring and prioritization
Automated alert summarization
Faster alert closure
Challenge
Payments screening and monitoring solutions fall short.
Traditional payment risk management systems rely on rigid rules and outdated money laundering scenarios that fail to detect true financial crimes, and they are incapable of scaling to ever-increasing transaction volumes.
Automate the review process
Change the philosophy from reactive anomaly alerting to a proactive understanding of counterparty risk, automated network analysis, and a technology commitment to workflow optimization and thoughtful, efficient automation implementation
Vastly reduce the volume of alerts and false positives
Save the time-consuming, laborintensive reviews for strong confidence, high risk alerts
Free up resources, increase efficiency, and speed detection
Scale without limitations
Separate the model build from the model runtime, where predictive features are learned on a massive language model but then implemented in a much more compact model for large-scale enterprise throughput
Easily scale despite ever-increasing transaction volumes
Eliminate bottlenecks with Cloud deployments
Lower maintenance costs and speed operations for real-time detection
Consolidate the risk view
Get a summarization of alert metadata, transaction activity, counterparty risk, investigator inputs, and related alert dispositions —then draft a comprehensive narrative using LLMs for alert closure and SAR escalation
Centralize data to facilitate a comprehensive risk assessment
Identify complex, multi-layered threats
Address risks proactively
Enable proactive reporting of true financial crime (vs. meeting a SAR quota) by ensuring precise, timely, and scalable risk detection—take a more offensive approach to compliance by solving accuracy, speed, and scalability issues in risk detection workflows
Identify risks before they materialize
Respond early enough to avoid significant financial and reputational damage
Find hidden risks quickly and accurately
Precise language models combined with proprietary name science and best-in-class entity resolution ensure accurate, actionable risks are identified.
Get a holistic view of entity risk
Enrich all payment parties and counterparties with a holistic risk assessment based on information inside and outside the financial institution.
Scale your analytics to a limitless number of entities and their counterparties
Flexible architecture and highly performant implementation scales with the business, ensuring you never fall behind.
Customize the solution
Align your risk appetite with the implementation and only review the most relevant alerts.