Secure Your Revenue with Gen AI in Fraud Detection
For fraud and risk teams, Lyzr's platform uses Gen AI to detect, investigate, and prevent fraud with real-time, explainable, and easily deployable agents.
- Real-time detection
- Explainable alerts
- Fast deployment
End-to-End Gen AI
for Fraud Detection
Lower false positives, accelerate case resolution, and reduce financial losses by integrating Lyzr's AI directly into your existing fraud operations workflows.
01
Loss Reduction
- Prevent chargebacks, account takeovers, and payment fraud with smarter, faster detection.
02
Fewer FPs
- Increase model precision to reduce customer friction and unnecessary transaction declines.
03
Rapid Investigations
- Automate triage, entity linking, and case narratives to empower your fraud analysts.
04
Adaptive Models
- Our models continuously learn to detect emerging patterns and sophisticated fraud rings.
Secure Every Interaction
with AI
Lyzr provides comprehensive coverage across all your channels, analyzing payments, logins, and onboarding signals to stop fraud at the source.
ATO Detection
Analyze anomalous login and session behavior with suspicious identity signals.
Payment Fraud
Flag application fraud and identity anomalies with advanced document verification.
Onboarding Fraud
Flag application fraud and identity anomalies with advanced document verification.
Fraud evolves faster than rules. Your team needs a platform that delivers clarity, speed, and control.
Achieve Measurable
Business Outcomes
- Higher Detection Accuracy
Improve recall and precision by analyzing patterns and signals across all events.
- Analyst Productivity Lift
Reduce manual reviews with automated triage and instantly summarized case evidence.
- Reduced Customer Friction
Minimize unnecessary step-up authentications and declines while controlling risk.
- Faster Time to Value
Deploy rapidly with pre-built integrations, model templates, and governed workflows.
Enterprise Capabilities
for Fraud AI
Our platform enables end-to-end fraud management, from detection to action, with full governance, auditability, and simple integration.
Signal Ingestion
Ingest events, device, identity, payments, and third-party risk data seamlessly.
GenAI Reasoning
Get clear 'why flagged' narratives tied directly to evidence and fraud patterns.
Entity & Network Graphs
Link accounts, devices, merchants, and IPs to uncover sophisticated fraud rings.
Case Management Flow
Manage investigation queues, SLAs, team notes, dispositions, and collaboration.
Decision Engine
Orchestrate approve, deny, and step-up actions via rules and model outputs.
Lyzr Platform vs.
Alternative Tools
Lyzr provides a "Bank-in-a-Box" AI framework, ensuring your generative AI banking security matches your most stringent internal standards through total isolation.
Feature
Legacy Tools
Single Tools
Lyzr
Real-Time Scoring
Batch processing
Delayed scoring
Instant, real-time
Explainable Decisions
Black box models
Partial explanations
Full AI explainability
Fraud Ring Discovery
Manual analysis
No network view
Automated graph links
FP Control
High false positives
Basic tuning
Precision FP controls
Workflow Auto
No automation
Siloed workflow
Fully automated workflows
Audit & Governance
Limited logging
Basic audit trail
Enterprise-grade audit
Static rules
Static rules
Requires retraining
Continuous model learning
Integration APIs
Custom built
Point-to-point
Full API & connector set
Built For Enterprise
Fraud Teams
Secure by Design
Role-based access controls, data encryption, and secure deployment patterns.
Governance First
Full audit trails, model versioning, and approvals to meet compliance needs.
Integrates Fast
Robust APIs and pre-built connectors to your data, SIEM, and payment stacks.
Team-Centric
A superior analyst UX, collaboration tools, and operational SLA reporting.
Built Specifically for
Financial Institutions
Join a growing ecosystem of consulting and technology partners
Lyzr's approach to Gen AI in fraud detection transformed our operations. We cut false positives by 30% and accelerated complex fraud ring investigations from days to hours. It allows our team to be proactive, not reactive, giving us the control we always needed.
Head Fraud
Global Payments Platform
Zero
Data Exfiltration Incidents
Deploy Your AI Fraud
Detection Agent
- Step - 1
Connect Data
Identify key data sources, events, and define security constraints.
- Step - 2
Configure & Build
Define detection scenarios, risk thresholds, and core operational KPIs.
- Step - 3
Validate AI
Backtest models, measure precision, and review AI decision explainability.
- Step - 4
Deploy & Monitor
Go live, monitor for model drift, and iterate with analyst feedback.
Frequently asked questions
It is used to analyze complex patterns across multiple data sources to identify and prevent fraud in real time. This includes account takeovers, payment fraud, and synthetic identity fraud. Gen AI helps automate fraud investigation by providing clear explanations for every alert.
By understanding context and narrative beyond simple data points, Gen AI models achieve higher precision. This AI fraud detection method distinguishes legitimate customer behavior from genuine threats more accurately, reducing unnecessary alerts and customer friction.
Our platform uses optimized models and a scalable architecture to provide real-time fraud detection. APIs integrate directly into your payment or application flows, enabling instant risk scoring and decision-making without adding latency to the user experience.
Traditional models often rely on historical, structured data and act as black boxes. Gen AI can process unstructured data, understand intent, and provide explainable AI narratives for its decisions, making it easier for analysts to trust and act on alerts.
Orchestrate approve, deny, and step-up actions via rules and model outputs.
Absolutely. Lyzr enhances transaction monitoring by providing deep insights into payment risk. It helps identify mule accounts, bust-out schemes, and other complex scenarios that rule-based systems miss, which directly contributes to reducing chargeback rates.
Every alert generated by Lyzr is accompanied by a plain-language summary detailing why the activity was flagged. This explainable AI includes the key risk factors and evidence, allowing analysts to triage and close cases much faster without deep data science expertise.
To start, we typically ingest transaction data, user events (like logins or password changes), and device information. Our platform is flexible and can incorporate third-party identity or risk signals to enrich the fraud analytics process and improve model accuracy.
Lyzr provides robust model governance tools. This includes version control, performance monitoring, detailed audit logs for every decision, and role-based access controls. You maintain full control and visibility to satisfy internal policies and external regulators.
Yes, the signals and entities identified for fraud are often relevant for Anti-Money Laundering (AML). Our platform's network graph and risk scoring capabilities can be a valuable input for your broader financial crime program, helping to break down operational silos.
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