AI and rules work together as a single detection layer; scenarios combined with supervised and unsupervised ML models reinforce each other on every transaction. Built-in MLOps lets your teams build, optimize, and deploy new models in weeks, not months.

• Eliminate false positives at the source and remove alert noise from triage
• Keep detection up-to-date with access to the latest pre-trained models from our Model Store
• Govern every model with full lineage and explainability

A triage agent performs an initial risk assessment on every alert, accurately prioritizing what matters and auto-hibernating known false positives without an analyst ever touching them. Triage that once took hours of manual reviewing now happens in seconds, across every alert.

• Surface SAR-worthy cases to the top, with clear explanations of the risk indicators present
• Route every alert to the right team and queue, automatically
• Every triage decision logs its risk signals, model scores, and reasoning, ready for any auditor or regulator review

A manager agent orchestrates a team of specialized worker agents to complete end-to-end investigations before an investigator even opens the alert. From subject profiling and transaction analysis, to web research and narrative drafting, every process is automated and presented for investigator review on a single screen.

• Work every case from a single subject-centric view
• Auto-populate SAR submissions, including all relevant evidence attachments, ready for human review & approval.
• Stay in complete control with human-in-the-loop oversight at every critical stage of the investigation

Outcomes from every case feed back into both detection models and agents. Models sharpen, thresholds refine, and agents improve with every disposition. Full audit trails and decision-level explainability sit underneath, ready for regulatory review at any moment.

• Every decision is traceable from source data, to model scores, to agent reasoning; full transparency and fully explainable
• Strict policy guardrails dictate every agent action; nothing happens outside of the controls that you set
• Continuous drift and bias monitoring flags issues before they become incidents