What problem does it solve?
Most modern security and compliance frameworks are built for pre-2020 network-centric threat landscapes, with no required controls for AI-accelerated zero-day exploit production, leaving organizations fully compliant but exposed to novel attack vectors. There is no standardized, auditable process to learn from public zero-day disclosures to identify control gaps and generate actionable, testable new control requirements.
Core Features & Use Cases
- End-to-End Learning Loop: Runs the full workflow from attack vector extraction and defense chain analysis to framework coverage assessment, gap classification, new control requirement generation, and exposure scoring for compliance-passing organizations.
- Cross-Framework Gap Analysis: Assesses coverage across NIST 800-53, ISO 27001, SOC 2, NIS2, and other major global frameworks to identify where controls are missing entirely, insufficient for specific TTPs, or compliant-but-exposed.
- Durable Artifact Generation: Produces structured lesson entries and framework gap mappings that feed back into organizational threat intelligence and control evolution processes, closing the gap between exploit disclosure and control updates.
- Use Case: When a new kernel page-cache zero-day like Fragnesia is disclosed, the skill identifies that standard 30-day patch management controls are insufficient, generates requirements for page-cache integrity verification and bug-family mitigation persistence, and scores that ~75% of audit-passing organizations remain exposed during the patch window.
Quick Start
Use the zeroday-gap-learn skill to run the full learning loop for the newly disclosed CVE-2026-46300 Fragnesia zero-day to generate its control gap mapping, new control requirements, and exposure score for compliant organizations.