ANNOUNCEMENT

Hexaware Positioned as a Visionary in the 2026 Gartner® Magic Quadrant™ for Custom Software Development Services

Gartner, Magic Quadrant for Custom Software Development Services, By Jaideep Thyagarajan, Ryan McKinney, Nathan Davie, 28 September 2026. Gartner and Magic Quadrant are trademarks of Gartner, Inc. and/or its affiliates. Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner’s business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose. This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Hexaware.

Ebook

Vulnerability Management at AI Scale

Remediation Throughput Playbook

Satyajith Mundakkal
CTO, Hexaware

Key Takeaways

– Hexaware’s Remediation Throughput Playbook is a 120-day plan for scaling vulnerability remediation.
– The plan covers risk tiering, AI discovery governance, secure release gates, and resilience scoring.
– Day 1–30 sets a baseline; day 31–60 builds triage; day 61–120 industrializes workflows.
– CTO Satyajith Mundakkal ties the plan to discovery frameworks like Claude Mythos and Project Glasswing.

Remediation Throughput: A 120-Day Transformation

In today’s AI-driven landscape, vulnerability discovery has outpaced traditional remediation methods. Hexaware’s Remediation Throughput Playbook is your roadmap to overcoming this bottleneck. This 120-day plan focuses on risk tiering, AI discovery governance, secure release gates, and measurable resilience scoring.

Step-by-Step Execution for Success

Day 1-30:Establish a baseline by identifying critical services, owners, and top exposure risks.
Day 31-60:Build a scalable triage and routing model, ensuring high-priority findings are addressed without manual overload.
Day 61-120:Industrialize workflows, validate fixes with evidence, and prepare for AI-scale discovery spikes.

As AI-driven discovery accelerates through frameworks such as Claude Mythos and Project Glasswing, Satyajith Mundakkal, CTO at Hexaware, unpacks the operational shifts needed to scale remediation throughput.

Why It Matters

AI-scale discovery demands precision and speed. With this playbook, you’ll ensure that production risk decreases faster than vulnerabilities emerge, empowering your teams with actionable insights, clear metrics, and the confidence to secure your systems at scale.

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