Traditional manual threat modeling and security design reviews were time-intensive, difficult to scale, and limited in coverage and consistency. Rubrik sought to replace these processes with an intelligent, automated system for structured risk analysis, validation, and certification with full auditability. Solution: Rubrik developed an AI-driven security review platform that replaces manual threat modeling with a multi-agent workflow. Agent 1: Security Reviewer Analyst Ingests design documents and architectural diagrams, performing structured security assessments using Rubrik’s risk scoring matrix, STRIDE threat modeling, OWASP Application Security Verification Standard (ASVS) 4.0, and Rubrik-specific context (backup integrity, multi-tenancy, ransomware protection). It generates prioritized findings with Common Weakness Enumeration (CWE) classifications, MITRE ATT&CK mappings, and remediation guidance. Agent 2: Code Validation Inspector Fetches code from source control and cross-references findings against actual code changes. Using static and differential code analysis, it detects implemented remediations, identifies partial implementations, and flags unaddressed findings - providing code snippets as evidence. Agent 3: General Availability (GA) Certifier Aggregates Security Review findings and validation status, applies risk scoring, and generates certification reports with residual risk assessments, compliance attestations, and complete evidence chains from design through implementation, enabling data-driven GA sign-off decisions with a full audit trail.