Pivotal Moment: Capitalize on Mythos Hype to Fix Your Exposure and Vulnerability Management

The recent hype surrounding AI-driven cyber risks like Claude Mythos Preview has elevated discussions about vulnerability management to the boardroom. This Gartner report reveals how to capitalize on this heightened executive attention to fix structural weaknesses in your exposure management program and shift toward a time-based, automated approach to risk reduction.

What You Will Learn:

• Modernize Your Operating Model: Shift from static, reactive assessments to an actionable strategy focused on shrinking the "exposure window" relative to attacker speed.
• Overcome Remediation Delays: Understand why traditional vulnerability management programs leave critical assets exposed for an average of over 50 days and how to eliminate organizational chokepoints.
• Implement a Time-Based Action Plan: Discover how to integrate automated exposure reduction directly into engineering and IT workflows with clear asset ownership and shorter remediation SLAs.
• Optimize Prioritization: Learn to move past generic scoring by correlating exposures across attack surfaces to focus exclusively on validated, viable attack paths.

© 2026 Gartner, Inc. and/or its affiliates. All rights reserved. Gartner is a registered trademark of Gartner, Inc. and its affiliates. This publication may not be reproduced or distributed in any form without Gartner's prior written permission. It consists of the opinions of Gartner's research organization, which should not be construed as statements of fact. While the information contained in this publication has been obtained from sources believed to be reliable, Gartner disclaims all warranties as to the accuracy, completeness or adequacy of such information. Although Gartner research may address legal and financial issues, Gartner does not provide legal or investment advice and its research should not be construed or used as such. Your access and use of this publication are governed by Gartner’s Usage Policy. Gartner prides itself on its reputation for independence and objectivity. Its research is produced independently by its research organization without input or influence from any third party. For further information, see "Guiding Principles on Independence and Objectivity." Gartner research may not be used as input into or for the training or development of generative artificial intelligence, machine learning, algorithms, software, or related technologies.