As general manager for payments and fraud prevention at Amazon Web Services, Keith Carlson has a unique perspective on detecting and preventing compromises in the cloud. He shares insights gleaned from dealing with scores of customers and their concerns.
Machine data and machine learning have the potential to connect disparate data sources, enabling better fraud detection and prevention, says Matthew Joseff of Splunk, who highlights real-world examples of fighting fraud with better data.
Although fraud schemes continue to evolve, social engineering remains a critical element, says Brett Johnson, a former fraudster who now advises organizations on how to fight cybercrime. He explains how new attacks are often tweaks of much older schemes.
Security thought leaders have long called for organizations to shift from a conventional "peacetime" view of cybersecurity to more of a "wartime" mindset. Aetna CSO Jim Routh now says it's time for enterprises to shift from conventional to unconventional security controls.
Too many organizations leverage advanced threat intelligence merely to detect indicators of compromise. But Brian Hussey of Trustwave wants to help them mine actionable threat intelligence to truly bolster enterprise defenses.