AI Security & MLSecOps Assessment & Roadmap

AI Security & MLSecOps Assessment & Roadmap

Overview

An end-to-end audit of your machine learning lifecycle—from data ingestion through model deployment—to identify vulnerabilities, compliance gaps, and process inefficiencies. You’ll receive a prioritized 90-day action plan that aligns security, reliability, and business objectives.

Key Benefits

  • Complete visibility into AI/ML pipelines and data flows
  • Identification of prompt-injection, data-leak, and pipeline misconfiguration risks
  • Compliance readiness for GDPR, SOC 2, EU AI Act, and HIPAA
  • Clear, business-aligned roadmap to reduce risk and accelerate secure releases

Scope & Deliverables

  • Pipeline Discovery Workshop: Interactive session to map data sources, model training, and deployment pipelines.
  • Security Gap Analysis: Documented findings covering model drift, artifact integrity, CI/CD weaknesses, and third-party dependencies.
  • Compliance Review: Assessment of existing controls against relevant frameworks.
  • 90-Day Roadmap: Prioritized tasks, risk severity, resource estimates, and ROI projections.
  • Final Report & Executive Briefing: Slide deck and detailed report for technical and executive audiences.

Process & Timeline

  • Week 1: Kickoff & pipeline mapping
  • Weeks 2–3: Security and compliance analysis
  • Week 4: Draft roadmap review
  • Week 5: Final deliverables and executive presentation

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