Prioritize high-risk transactions, surface ranked model evidence, and keep every case decision under human analyst control.
Built for review workflows — not automated enforcement.
Platform Capabilities
From two-stage ML scoring to AI-assisted case explanation, RiskGuard AI gives your team the intelligence to triage alerts faster and more consistently.
Transactions are scored using a two-stage XGBoost model — combining a primary risk classifier with an alert-quality reranker. Each score reflects transaction, behavioral, and merchant-context features, surfaced as a transparent, ranked risk score.
High-risk transactions generate risk alerts that enter the analyst queue. Analysts can review, escalate, update case status, or request more data — keeping investigation workload organized and auditable.
Ask the AI Agent why a transaction was flagged. Backed by guardrails that block unsafe requests — no PII lookups, no action commands like “block this card” — the agent reasons over real case evidence and always defers final decisions to the analyst.
Analysts, Risk Managers, and Admins each see exactly what their role needs — case review, performance evaluation, or user management — supporting clear accountability and audit trails.
How It Works
STEP 01
A two-stage ML model calculates a risk score from behavioral signals, merchant context, and transaction patterns.
STEP 02
When the score crosses the review threshold, the transaction enters the case queue with severity, score, and evidence context.
STEP 03
Ranked risk drivers show what pushed the score upward, how strongly each signal contributed, and why it matters for review.
STEP 04
Analysts review transaction, customer, card, merchant, and evidence context — and can ask the AI Agent follow-up questions before escalating, closing, or requesting more data.
STEP 05
Analyst feedback and case actions are recorded for auditability and future evaluation.
Security & Trust
Sensitive authentication data and full card numbers are excluded from the scoring payload before reaching analysts. Analysts see masked card identifiers, not full PAN or CVV.
Analysts, Managers, and Admins each access only what their role requires.
The AI Agent cannot answer identity-lookup requests or act on unsafe instructions; it explains, it does not decide.
No transaction is auto-blocked or auto-approved. Every case requires analyst review, with case activity captured for audit.
Roadmap for production deployment: encryption-at-rest validation, formal compliance certification, configurable data residency, and enterprise SLA controls.
Sign in with your analyst account to access the dashboard, review alerts, and investigate high-risk cases with AI-assisted explanations.
RiskGuard AI is an analyst-assist platform. The AI explains risk signals and does not replace analyst judgment. No transactions are auto-blocked or auto-rejected by the system.