SAS doubles down on fraud tech, sweeps industry rankings

In 2026, SAS solidified its leadership in fraud and financial crime management by sweeping Chartis Research's Fraud Platform Rankings with Best-in-Class status in every category, while also securing the highest overall score of 4.70 out of 5 in Forrester Wave’s evaluation of 15 vendors. This dual recognition underscores SAS’s unmatched excellence and comprehensive capabilities across the industry’s most critical performance metrics.

SAS’s dominance is largely attributed to its innovative convergence of anti-money laundering (AML) and fraud management within a unified platform, enhanced by advanced agentic AI that supports investigations and decisioning. Both Forrester and Chartis highlight this FRAML (fraud, AML, and KYC) integration as a key differentiator, enabling SAS to deliver seamless, data-driven financial crime detection that spans disparate data sources and technologies.

Uniquely, SAS stands out as the only vendor in Forrester’s 2026 assessment to receive no below-par scores across all current offering criteria, a testament to the breadth and depth of its platform’s capabilities. This consistent top-tier performance across nine of eleven criteria not only reflects technical robustness but also a strategic vision that balances innovation with practical effectiveness in financial crime management.

Central to SAS’s approach is a strong commitment to responsible AI governance, ensuring that as AI agents increasingly drive investigative and decision-making processes, human oversight remains paramount. As Stu Bradley emphasizes, SAS prioritizes 'not to automate for automation’s sake, but to give investigators better context, more intelligent prioritization and trusted decision support,' fostering transparency and trust in AI-powered financial crime solutions.

SAS Viya® harnesses advanced AI and machine learning to transcend traditional rule-based fraud detection by employing adaptive, context-aware algorithms that analyze user behavior in real time. This dynamic approach enables the platform to continuously update risk profiles as customer activity evolves, ensuring more precise anomaly detection and reducing false positives. By integrating these capabilities, SAS Viya® supports financial institutions in maintaining vigilant, up-to-date defenses against increasingly sophisticated fraud tactics.

The platform’s AI-driven automation significantly enhances compliance workflows by simultaneously screening vast, complex datasets against watchlists, prioritizing alerts based on risk severity, and drafting suspicious activity reports for human review. This triage system not only accelerates investigators’ focus on the highest-risk cases but also streamlines regulatory reporting, allowing compliance officers to make informed decisions without being overwhelmed by data volume.

SAS Viya® exemplifies responsible AI governance by embedding strong human oversight and transparency into its agentic AI framework, ensuring that while AI agents conduct sophisticated investigations and decisioning, final legal and regulatory judgments remain firmly in human hands. Forrester emphasizes this balance as integral to SAS’ vision, highlighting that such governance is essential for trust and accountability in financial crime management where regulatory filings carry significant legal consequences.

A key differentiator of SAS Viya® lies in its cloud-native architecture and powerful AI agents that enable seamless convergence of fraud and AML detection by connecting disparate data sources and applying advanced analytics consistently across the financial crime management lifecycle. As Senior VP Stu Bradley notes, financial institutions cannot safely scale agentic AI or unify fraud and AML efforts without trusted data integration and robust governance, capabilities that SAS Viya® delivers with top scores in AI/ML risk scoring and broad data source integration.

The integration of AML, fraud detection, and KYC into a unified platform is essential for overcoming the inefficiencies of siloed systems and enhancing compliance effectiveness. SAS’s SmartSearch exemplifies this convergence by combining identity verification, AML screening, sanctions and PEP monitoring, and ongoing customer monitoring into a single system, providing a holistic view of customer risk that is crucial for fast-growing FinTechs and crypto businesses facing unique financial crime challenges.

A shared risk model that synthesizes data from identity verification, AML screening, device intelligence, behavior, and transaction history enables firms to apply proportionate due diligence, significantly reducing false positives and manual reviews. By generating a dynamic risk score, SAS’s platform allows institutions to fast-track low-risk customers while flagging genuine threats for deeper scrutiny, addressing the critical need to link overlapping identities and transactions across disparate systems in an increasingly interconnected fraud and money laundering landscape.

SAS’s leadership in financial crime management is further distinguished by its ability to connect disparate data sources and apply advanced AI-driven analytics responsibly across fraud and AML functions. Forrester highlights SAS’s powerful AI agent that extracts data schemas and supports customizable machine learning risk scoring, all governed by robust AI oversight to ensure transparency, trust, and control—an imperative as institutions scale agentic AI solutions within a converged FRAML framework.