Researchers have discovered that a key obstacle to online fraud can be circumvented for just a few cents. This finding raises concerns about the security of online transactions and the effectiveness of current fraud prevention measures.

This article critiques traditional policy-based data loss prevention (DLP) methods, arguing they can't adapt to the complexity of modern data. It introduces ORION, a solution that uses AI agents to provide context-aware detection of data exfiltration incidents, improving accuracy and reducing false positives. ORION learns organizational data patterns and integrates various data sources for comprehensive protection.

Fraud Tools, Tactics, and Techniques (FT3) is a framework developed by Stripe to enhance understanding and response to fraudulent activities by documenting the tactics, techniques, and procedures used by fraudsters. It aims to help organizations identify security gaps, develop detection mechanisms, improve incident response, and foster collaboration within the fraud prevention community. Contributions from the community are encouraged to further the effectiveness of the framework.

Bots can perform beneficial tasks but can also disrupt services and steal data. This guide provides strategies for detecting and stopping malicious bots, including monitoring traffic patterns, using bot detection tools, implementing honeypots, and applying rate limiting to control excessive requests.