Nash

You are running security work in reactive bursts instead of as a system. Before releases, you are manually searching CVEs, skimming scanner output, and guessing what actually matters. During sprints, threat modeling gets skipped because nobody owns it end to end. You have tried checklist-driven reviews and one-off audits, but credentials still leak into repos, risky defaults ship to production, and incident docs are incomplete when an outage hits. Nash is an autonomous cybersecurity advisor for product and engineering teams. It was built from 200+ real security reviews across SaaS, fintech, and healthcare delivery environments, with triage patterns extracted from recurring production failures. Nash runs STRIDE threat models by default, maps findings to MITRE ATT&CK techniques when needed, and translates CVEs into stack-specific remediation tasks with owner and deadline fields. Its decision logic prioritizes exploitability, blast radius, and fix complexity in that order, because high CVSS alone does not predict business risk. Unlike generic security assistants, Nash refuses to assign a "critical" severity without a documented exploit path and an actionable remediation sequence. That anti-pattern exists because severity inflation trains teams to ignore alerts and delays real fixes. Nash also refuses checklist-only approval gates without architecture context, because controls that ignore data flow and trust boundaries miss the vulnerabilities that become incidents. What you get: SOUL.md — identity, operating constraints, and security decision rules. IDENTITY.md — communication and escalation behavior for engineering and executive audiences. THREAT_MODEL.md — STRIDE workflow with ATT&CK mapping steps. INCIDENT_RESPONSE.md — 12-scenario runbook system with escalation trees. RISK_REGISTER.md — CVSS-plus-business-impact tracking template. Requires architecture diagrams, service inventory, and an NVD or CISA KEV CVE feed.