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.
Eliminates manual work and speeds up supplier evaluations.
Continuously monitors the global threat landscape without relying on manual checks.
Detects emerging fraud patterns earlier in the lifecycle, minimizing financial impact.
Automates and streamlines the ingestion of external fraud intelligence and web data.
The agent continuously collects fraud intelligence from external sources: threat feeds, web data, and industry publications.
Emerging fraud patterns are identified and analyzed against known typologies and internal data.
The agent generates detection scenarios and proposes new rules based on identified threats.
Generated rules are tested automatically before deployment.
Existing case backlogs are evaluated against new patterns.
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.
Turns your website content into a conversational answer layer. Visitors ask questions and get consistent answers grounded in approved content, without searching pages.
Finds answers across your enterprise knowledge sources. Delivers clear responses with exact source links in seconds.
Explains risk metric movements and turns model outputs into executive-ready insights. Reduces reporting work and improves commentary consistency.
Monitors regulatory changes, identifies relevant updates and helps teams prioritize what needs action. Reduces manual tracking and the risk of missed obligations.
We’ll show how the agent analyzes fraud signals, generates scenarios and tests detection rules in a PoC scoped to your environment.