Making Security Cloud-Friendly

Banks can drive real value to their fraud prevention strategies with machine learning and analytics if they cut through the hype. Machine learning can be made intuitive and available directly to fraud experts. A multi-faceted strategy can turn fraud prevention expertise into a revenue generator for the business. Register for this webinar and join Marc Trepanier, Principal Fraud Consultant at ACI Worldwide, and leading industry analyst Julie Conroy of Aite Group as they discuss real-life use cases that demonstrate how banks can: Improve data management control costs while reducing the compliance and regulatory risks.

Businesses are under attack, hackers are getting smarter, and the cost of a ransomware attack is going up. The average cost of an attack for small to medium size businesses? $200,000. For enterprise organizations, attacks cost, on average, $14.8 million annually. And even, scarier, 60% of small to medium-sized businesses that are hacked go out of business within six months.

Cyber attackers continue to be successful in gaining access to many different organizations, often by exploiting identities and weak authentication. To ensure they are protected, organizations should consider modern Adaptive Authentication techniques to increase identity security and thwart attacks.

Data is among an organization’s most valuable assets. Its management and protection should be viewed as a mission-critical stewardship rather than mere compliance. Larger and more costly cybersecurity incidents coincide with annually increasing regulatory and liability pressures. Looming U.S. privacy legislation on the horizon coupled with the General Data Protection Regulation’s impacts (Google recently received a $57 million fine), intensifies pressure on organizations to understand their legal compliance obligations and to safeguard private information.