How SAS Delivers Better Fraud & Financial Crimes Compliance
Enhanced fraud detection. Efficient, effective investigations. Consolidated suspicious activity monitoring and reporting. Proactive protection through advanced analytics, AI, machine learning and regtech technologies.
Anti-money laundering
- Adopt an advanced strategy for detecting suspicious transactions in areas such as AML, CFT sanctions screening and beneficial ownership.
- Take a risk-based approach using hybrid analytics to manage alerts, test scenarios, respond faster to evolving risks and comply with banking regulations.
Know your customer
- Rate new customers and update customer scoring based on key events that could affect the overall risk of your customer relationships.
- Review events automatically.
- Perform continuous monitoring.
- Manage risk attributes with speed and agility.
- Conduct thorough analyses with fewer resources.
Payments fraud
- Find fraud early through embedded machine learning capabilities that adapt to changes in customer transactions and behavior.
- Address the proliferation of identity theft and synthetic identities.
- Find more fraud and reduce false positives by processing all data – in real time or in batch – using a powerful fraud analytics engine with embedded AI and machine learning techniques.
Cybersecurity
- Arm your firm with a layer of business-relevant cyberanalytics that heightens the intelligence of existing security infrastructures.
- Find hidden patterns and relationships suggesting malicious activity in real time.
- Make better, faster business decisions about cyberrisks.