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    LLM-Powered Security Analysis

    Optimization
    Phase: code
    LT
    CFR

    Quick Reference

    Phase
    code
    Epic
    AI-Enabled Code & Review Automation
    Milestone
    Optimization
    Target
    >= 75% changes LLM security scanned
    Implementation Time
    Part of AI-Enabled Code & Review Automation epic: 5 weeks (38 hours per capability avg)

    What & Why

    Definition

    >= 75% of code changes analyzed by LLM for context-aware security issues beyond pattern matching.

    Business Value

    Catches 40% more code issues than human-only review and reduces code review time by 60% while maintaining quality through AI-augmented reviews Achieving >= 75% changes LLM security scanned is a key milestone toward this goal.

    Context

    This capability is part of the Optimization milestone's focus on ai enablement, predictive ops, self-healing. Essential for teams targeting LT, CFR improvements.

    Success Criteria

    Target

    >= 75% changes LLM security scanned

    Measurement

    LLM security scan coverage

    Evidence

    • LLM scan findings
    • False positive rate
    • Novel vulnerability detection examples

    In Practice

    Real-World Implementation

    LLM analyzes code with business context, detects issues: insecure deserialization in user input flow, privilege escalation in role check, race condition in payment processing.

    Concrete Example

    LLM scan detects: 'User role check in isAdmin() can be bypassed via race condition when updating user profile concurrently'. SAST missed this. Developer adds lock.

    Implementation Guide

    Prerequisites

    Advanced SAST Integration
    100% PRs scanned, MEDIUM+ blocks

    Implementation Steps

    Follow the measurement approach: LLM security scan coverage

    For detailed step-by-step guidance, refer to the AI-Enabled Code & Review Automation Implementation Kit.

    Resources

    Implementation Kit

    AI-Enabled Code & Review Automation Kit

    Templates

    Browse all templates

    Related Resources

    View learning paths

    Related Capabilities

    Prerequisites

    Implement these first

    Advanced SAST Integration

    Complementary

    Often adopted together, from the AI-Enabled Code & Review Automation epic

    AI Code Review Assistant
    AI Test Generation
    AI-Assisted Merge Conflict Resolution
    AI Refactoring Recommendations

    Troubleshooting & FAQs

    Common Issues

    Issue: Target metric not improving

    Solution: Verify measurement is accurate, check if prerequisites are fully implemented, review evidence artifacts for completeness

    Issue: Team resistance to adoption

    Solution: Start with pilot team, demonstrate value with metrics, provide training and support during transition

    Issue: Inconsistent implementation across teams

    Solution: Create shared templates and guidelines, establish regular sync meetings, use automation to enforce standards

    Frequently Asked Questions

    Can we implement this before completing prerequisites?

    While possible, it's not recommended. Prerequisites ensure foundational practices are in place, making this capability more effective and easier to adopt.

    How long does implementation typically take?

    Most capabilities can be implemented within 185 days when tackled as part of the Optimization milestone. Individual timelines vary based on team size and existing practices.

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