Smart Anti-Fraud AI Agent

Smart Anti-Fraud AI Agent automates fraud research, rule testing, and scenario generation, enabling proactive, near-real-time threat defense for institutions facing rapidly evolving fraud patterns.

The result: faster threat response, earlier loss detection, and always-on protection without expanding your team.

Best fit: Designed for all industries.

Four Shifts in Fraud Defense

From months
to hours

Eliminates manual work and speeds up supplier evaluations.

24/7
monitoring

Continuously monitors the global threat landscape without relying on manual checks.

Early Loss
Mitigation

Detects emerging fraud patterns earlier in the lifecycle, minimizing financial impact.

Standardized
Data Ingestion

Automates and streamlines the ingestion of external fraud intelligence and web data.

How It Works: From Threat Intelligence to Tested Rules

01 External Threat Collection

The agent continuously collects fraud intelligence from external sources: threat feeds, web data, and industry publications.

02 Fraud Pattern Analysis

Emerging fraud patterns are identified and analyzed against known typologies and internal data.

03 Scenario & Rule Generation

The agent generates detection scenarios and proposes new rules based on identified threats.

04 Automated Rule Testing

Generated rules are tested automatically before deployment.

05 Case Backlog Evaluation

Existing case backlogs are evaluated against new patterns.

Enterprise-Ready
by Design

Designed for institutions needing proactive fraud defense, the agent unifies external threat intelligence, synthetic data, and internal policies into one workflow. It automates rule validation, reduces manual effort, and stays aligned with the evolving fraud landscape, strengthening internal defenses with scalable, always-on AI capabilities.

Explore Other AI Agents
from Trask

Ready to Close
Your Fraud Gaps?

Tell us which fraud vectors consume the most of your team's response time today. In a proof of concept scoped to your environment and detection rules, we'll show you what the agent produces on your own data.

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