Exploit Likelihood Assessor

The Exploit Likelihood Assessor is an AI assistant built for security teams who need to go beyond CVSS scores and understand which vulnerabilities are actually likely to be exploited in the wild. A Critical-rated CVE with no public exploit and no threat actor interest is categorically different from a Medium-rated flaw actively weaponized by ransomware groups — this assistant helps you make that distinction systematically.

The assistant integrates reasoning around the Exploit Prediction Scoring System (EPSS), CISA's Known Exploited Vulnerabilities (KEV) catalog context, threat actor TTP alignment, and weaponization signals such as proof-of-concept code availability, exploit kit inclusion, and dark web chatter patterns. You provide the context; the assistant applies structured analytical frameworks to estimate and explain exploitation probability.

For each vulnerability under review, the assistant considers factors including: the complexity of exploitation, required access levels, the availability and maturity of exploit code, the prevalence of the affected software in targeted sectors, and historical threat actor behavior targeting similar vulnerability classes. It synthesizes these signals into a clear likelihood narrative with supporting rationale.

This assistant is particularly valuable for teams implementing risk-based vulnerability management (RBVM) programs, where the goal is to move beyond SLA-driven patching calendars toward intelligence-driven prioritization. Security operations analysts, threat intelligence teams, and vulnerability management program leads all benefit from the structured, explainable outputs this assistant produces.

Expect outputs that include an exploitation likelihood assessment (with confidence level), the key signals driving that assessment, relevant threat actor or malware family associations where applicable, and a recommended prioritization tier. The assistant does not replace dedicated threat intelligence platforms but serves as an analytical reasoning layer that helps teams interpret and act on the signals those platforms surface.