SAS’s financial crime management solutions, built on AI-powered, cloud-native SAS Viya, earned top scores in nine of eleven criteria, including data integration, watchlist management, AI/ML-based risk scoring, case management, and regulatory and operational reporting.

Forrester highlights SAS’s ability to connect disparate data sources, support cross-technology workflows, and apply advanced analytics consistently across fraud and financial crime detection, noting the importance of FRAML convergence (convergence of fraud and AML).

SAS’s governance framework for AI agents, including trust, transparency, oversight, and control, is highlighted as critical as AI plays a larger role in investigations and decisioning.

The article references SAS’s broader ecosystem, including customer feedback on ML model building and testing capabilities, and mentions external validation from Chartis Research noting FRAML convergence as a key differentiator for SAS.

The press release promotes SAS’s broader mission as a data and AI leader delivering trusted AI with governance, and points readers to SAS resources and the Forrester report for more details.

Chartis Research has previously highlighted SAS’s FRAML convergence as a key differentiator, reinforcing SAS’s leadership in this space.

Forrester’s findings advocate moving beyond increasing alert volume to making better decisions through AI-enabled predictive modeling, anomaly detection, network analytics, and threshold tuning, supported by SAS resources such as the white paper on AI/ML in AML.

SAS is commended for having no below-par scores across current offering criteria and for strong customer feedback, particularly regarding ML model building and testing capabilities.

This year marks SAS’s 50th anniversary, and the company received above-average customer feedback in the Wave evaluation, particularly for ML model building and model testing capabilities.

SAS positions itself as a global leader in data and AI, with a 50th anniversary milestone noted in the release, and reaffirms its commitment to transparent, governance-focused AI in financial crime management.

The report underscores the growing need for integrated FRAML platforms as fraud and money laundering are increasingly interlinked, requiring governance and trusted data when deploying AI agents in investigations and decisioning.

SAS achieved no below-par scores across the current offering criteria, distinguishing it as the only vendor in the evaluation with this distinction and signaling breadth and depth across the fraud and financial crime management lifecycle.