AI-Ready Exposure Management: A Practical Guide to Operationalizing Your Security Strategy
The Rules Have Changed. Has Your Program?
Between Claude Mythos and the NIST NVD pullback, security programs built for human-speed disclosure won't survive machine-speed discovery. The volume of findings is climbing, enrichment sources are pulling back, and exploitation timelines have collapsed to hours. Every prediction has already been made — this session focuses on what to actually do about it.
What's on the Agenda?
Treat exposure management like incident response: Why Patch Tuesday cadences can't absorb what's coming, and how to bring incident response rigor to every security finding — severity tiers, SLAs, owners, validation
Scope exposures beyond CVEs: Why misconfigurations, coverage gaps, and identity risks are often more dangerous than the next CVSS 9.8, and how to define toxic combinations as tracked findings in Axonius
Weigh your context to the business: Why CVSS, EPSS, and KEV aren't sufficient on their own, and how to layer security, asset, and business context with custom weights and conditional logic
Automate ownership and close the remediation loop: Why Mean Time to Ownership is the metric that determines whether SLAs hold, and how to pre-configure mitigation and remediation paths before findings arrive
A live self-assessment: Where does your program stand across foundation, coverage, prioritization, containment, and downstream alignment?
Walk Away Ready, Not Worried
The Board is asking about resilience. This session cuts through the noise and walks through practical, hands-on guidance for making your exposure management program operationally ready for what's to come in AI.
Presenter: Ivan Dwyer (Product Strategy, Axonius)
Panelist: Steve Gold (Cybersecurity Practice Director, Gotham Technology Group)
