Vulnerability Management at AI Scale

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

1. Day 1-30:Establish a baseline by identifying critical services, owners, and top exposure risks.
2. Day 31-60:Build a scalable triage and routing model, ensuring high-priority findings are addressed without manual overload.
3. 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.