There is a corporate mandate to implement AI enablement programs. In cybersecurity, integrating AI chatbots into dashboards is table stakes. The industry, and the organizations it serves, must evolve to adopt agentic AI.
But true autonomy isn’t just about moving faster – it’s about changing the goalpost entirely. The ultimate objective is Shift Zero: eliminating vulnerability backlogs entirely and preventing exposure at the source. To achieve this, the best place to begin is the end.
Continuous threat exposure management (CTEM) is a framework to discover and remediate threats and exposures. The final step of this framework, mobilization, is the operational endpoint. Until now, this has remained a time-consuming manual process.
Automation has historically been focused on discovery, prioritization, and validation. By inverting the traditional CTEM framework to focus on automating remediation, organizations can close the loop on exposure management.
The final frontier for CTEM
Every security team that tries to find and fix its exposures experiences the same lifecycle. You decide what matters. You find out what’s in your environment. You plan your work. You test your plan. You operationalize.
This sequence is the CTEM framework: scoping, discovery, prioritization, validation, and mobilization.
The first half of this framework is diagnostic. Scoping defines assets and the attack surface, in relation to their business impact. This is a mostly manual process that relies on human discernment.
Discovery is also diagnostic. Finding out what exists used to be the hard part. Organizations used to rely on static asset inventories, which were maintained in spreadsheets. Scanning is now continuous and automated.
Likewise, prioritization is diagnostic, and it has also been enhanced with automation over the past several years. For a long time, organizations relied on a common vulnerability scoring system (CVSS) to determine the severity of a vulnerability.