Chartis: SAS an AML transaction monitoring leader

As banks compliance groups deal with a growing deluge of informs, they require to differentiate suspicious from genuine habits rapidly and with confidence. Chartis Research has actually once again called SAS a Category Leader in its AML Transaction Monitoring Solutions, 2026: Quadrant Update

In Chartis newest examination of the markets 49 primary suppliers of anti-money laundering options SAS Anti-Money Laundering on SAS Viya made best-in-class scores in 4 of the reports 7 ability evaluations, consisting of:

Chartis likewise acknowledged SAS advanced abilities in workflow automation; service product packaging and release; and speed, volume and efficiency.

SAS has actually substantially broadened using agentic AI, leading to improvements to analytical modeling, model quality and recognition, and workflow automation, stated Sean OMalley, Research Director for Financial Crime and Control at Chartis. The business service integrates conventional scenario-based tracking with innovative analytics, artificial intelligence, network analysis and AI-driven threat scoring, producing boosted outcomes.

In its accompanying SAS Vendor SpotlightChartis points out the markets moving transaction-monitoring expectations. Less, higher-value notifies assistance private investigators focus their restricted time on genuine threats however enhancing alert quality needs richer context on top of more accurate analytics and designs able to adjust in parallel with criminal habits.

Chartis highlights how SAS embeds AI throughout Viya to lower manual coding, speed up design advancement and release, and focus detection on significant threat signals. Behind those notifies, integrated design governance and accountable AI abilities assist banks keep oversight from the very first line of code through release and daily usage.

Reliable anti-money laundering programs extend well beyond alert management and suspicious activity filings, stated Stu Bradley, Senior Vice President of Risk, Fraud and Compliance Solutions at SAS. Detectives need a clearer photo of what warrants their attention. AI can assist groups link more signals and reveal dangers that standard techniques may miss out on. If a bank cant acknowledge when a design has actually gone off track or describe why it produced an alert, it has actually merely traded one blind area for another.

Banks have actually pertained to acknowledge their blind areas typically sit in between siloed functions. Chartis recognizes growing momentum behind the merging of scams avoidance and anti-money laundering, more frequently called FRAML

Scams and AML groups frequently see various elements of the exact same criminal activity. Suspicious payments or uncommon account activity identified by a scams group might assist an AML private investigator link the dots. An AML examination may expose criminal networks or cash streams that assist the scams group discover associated activity. Sharing those signals offers the organization a more total danger image, while permitting each group to follow its unique investigative procedures and regulative controls.

Chartis credits SAS combination of its scams and AML abilities with assisting organizations bring deal information, consumer details, threat indications and analytical designs into a more extensive view of monetary criminal offense threat. This supports wider detection, decisioning and investigative workflows throughout existing innovation environments.

The fast modifications this year with regard to speed, volume and efficiency have actually produced a progressively stratified set of outcomes for numerous deal keeping track of suppliers, however SAS has actually adjusted to these modifications and outmatched numerous rivals while doing so, stated OMalley.

This AML quadrant report contributes to other current Chartis acknowledgment covering SAS danger, scams and compliance services portfolio, consisting of: