Smarter Endpoints, Stronger Security: Reducing Risk Through AI-Driven Automation

Federal agencies, along with state & local governments and education (SLED) institutions are facing growing endpoint complexity, expanding cyber threats, and increasing pressure to do more with limited resources and budget. Today’s IT environments span numerous operating systems, device types and locations, creating operational blind spots that make it difficult to maintain security, compliance and a productive digital experience for end users.

At the same time, the pace of vulnerability discovery, patching requirements and AI-driven threats has outgrown what manual processes can effectively manage. Fedeal and SLED organizations need a new approach, one that combines trusted visibility, intelligent automation and human oversight to proactively reduce risk and improve operational resilience.

Learning Objectives:

• Understand the need for a new approach to autonomous endpoint management in a time of AI agents that you and your team may not know about.
• Evaluate the differences between autonomous endpoint management and device management to recognize the role each plays in hybrid system security.
• Identify all the tools your organization has acquired over time to address individual problems and how they can be consolidated to build a more unified approach to security management.
• Explore how Federal and SLED organizations like yours are using Autonomous Endpoint Management to modernize operations, improve compliance and build a more resilient cybersecurity posture.
• Understand the role of governed autonomy including how organizations can adopt AI-driven operations while maintaining oversight, accountability and public trust.