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.
- 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.
- 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.
- 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.
How does one of the world's largest banking and financial services organizations significantly lower incidence of fraud across tens of millions of debit and credit card accounts?
SAS helped HSBC Holdings plc:
- Score 100% of credit card transactions for more than 30 million cards in real time.
- Dramatically exceed aggressive objectives for reducing incidence of fraud and false positives.
- Increase customers' confidence in the bank's ability to protect them against fraud.
- Adapt as needed to changing threats with up-to-date information about the performance of fraud defenses.
How does a global systemically important bank (G-SIB) in Iceland use analytics to power its anti-money laundering efforts?
SAS helped Landsbankinn:
- Meet regulatory demands for anti-money laundering safeguards.
- Significantly reduce false positives from about 1,000 per day to 100.
- Reduce time and complexity of corporate reporting efforts and provide more visually engaging, self-service reports.
How does the second-largest direct bank in Germany better serve customers while protecting them from fraud?
SAS helped Deutsche Kreditbank AG:
- Gain a complete view of fraud to detect the most complex fraud scenarios and signals.
- Offer a particularly high standard of safety combined with fast and innovative customer service.
- Adopt a platform so effective that the compliance department changed from a cost center to a profit center.
- Implement a system that not only enables Workplace 4.0 in the area of compliance, but also improves the efficiency of many of the bank's units.
Related Products & Solutions
- SAS® Anti-Money LaunderingSAS Anti-Money Launderingは、高度なアナリティクスを用いて、違法行為の検出、アンチ・マネーロンダリング（AML）／テロ資金対策（CTF）の法規制の遵守、金融資産の保護を実現します。
- SAS® CybersecurityUnderstand your security posture, identify current weaknesses, prioritize remediation and see risk prior to compromise.
- SAS® Detection and Investigation for Banking全工程をカバーする単一のソリューションを用いて、組織的またはファースト・パーティによる不正申請や不正支払を発見・阻止することができます。