The growing threat of increasingly sophisticated cybersecurity attacks has led the White House to adopt a new cybersecurity strategy based on a zero-trust approach. High-friction implementations of this approach, such as continuous re-authentication, can add obstacles, time, and frustration for end users. Additionally, because zero-trust security requires visibility into every application and every user across a network, the magnitude of data to collect, analyze, and monitor can quickly become overwhelming. Cybersecurity developers can leverage AI frameworks and tools to build high-performance cybersecurity solutions with fewer lines of code.

• Address phishing attacks using natural language processing.

• Analyze the behavior of every user and machine across the network with tree-based models.

• Find and classify leaked credentials.

• Detect identity fraud leveraging graph neural networks.

Content

content goes here