Trust at Machine Speed: Rethinking Cybersecurity for the AI Era

In a time of rapid change spurred by AI, the federal conversation about cybersecurity is becoming less about individual technologies or modalities and more about operational effectiveness. Agencies have invested heavily in cybersecurity, yet many still struggle to answer critical questions quickly enough to reduce risk.

Meanwhile, security tools have multiplied faster than agencies’ ability to make coordinated trust decisions. The technology stack has evolved, but security decisions haven’t. Common frustrations include tools that don’t work together the way agencies’ missions do; more data available than ever but less confidence in making decisions; and security decisions that require too much manual coordination across disconnected systems.

Learning Objectives:

• Identify ways to make trust dynamic – responding in real time to real threats – rather than assume trust
• Outline methods to enable AI without creating security blind spots
• Review steps you can take to make faster, more confident security decisions for your agency, such as network segmentation/microsegmentation, using AI to control traffic flow to prevent data loss