Whitepaper
Beyond the Backlog
Exposure Management for the Post-Mythos World
Learn why AI has moved the bottleneck in vulnerability management from finding weaknesses to making and verifying decisions, and what operating model that now requires.
The attack surface expanded into cloud, containers, code, identities, SaaS, and AI systems. Scanner coverage kept pace. Analyst capacity did not.
Verizon’s 2026 Data Breach Investigations Report found 31% of breaches began with exploitation of software vulnerabilities, the leading initial access vector. The post-Mythos problem is not more vulnerabilities. It is the collapsing time between discovery, proof, and exploitation.
In this whitepaper, you’ll learn:
- Why Mythos changed the economics of vulnerability discovery
- The five places today’s programs break down, from scope to mobilization
- Why priority is still a score when it needs to be a decision
- The five design shifts behind a post-Mythos operating model
- How specialized AI agents under an orchestrator beat one generalist
- The measures that replace ticket counts, starting with verified risk reduction
Plus a walkthrough: 4,800 affected assets reduced to 37 reachable instances and 16 remediation campaigns, with closure verified by evidence.
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