SAS

SAS brings advanced analytics and artificial intelligence into security and risk programs, with a particularly strong history in fraud detection and financial crime prevention. Its technologies analyze large volumes of transactions, identities and behavioral signals to identify patterns that may indicate fraudulent activity or other forms of risk. SAS also applies analytics to cybersecurity, helping organizations use statistical and machine-learning techniques to identify anomalies and prioritize suspicious behavior. This is especially valuable for banks, insurers, government agencies and other organizations where security decisions depend on understanding complex activity across large datasets. Rather than functioning like a conventional endpoint security vendor, SAS sits closer to the analytics layer of a security program, helping teams extract meaning from data that may be too large or complex for manual analysis.