GMLE
GIAC Machine Learning Engineer
GIAC Machine Learning Engineer
› Quality score
Four-axis SecProve rubric, each 0–10. SecProve editorial assessment — each axis carries a written justification so you can push back on any single call without dismissing the whole score.
› Exam format
75 questions + CyberLive, 3 hours, open-book, proctored via Pearson VUE. Passing score: 73%.
30-day wait between attempts. SANS course bundles typically include 2 attempts.
› Recertification
Valid for 4 years. Renewal via 36 CPE credits or renewal exam (479 USD). Each GIAC cert separate.
› NICE Framework work roles
The NIST NICE work-role IDs this cert maps to. NICCS lookup.
› Core domains covered
The 3 domains this cert is centrally about. Passing the exam demonstrates working knowledge of each.
Evasion attacks, poisoning attacks, model extraction, membership inference, model inversion, gradient-based attacks.
AI system threat modeling, red teaming methodology for LLMs (OWASP Top 10 for LLMs), automated red teaming tools, evaluation frameworks.
ML-based anomaly detection, UEBA, network traffic analysis, deep learning for malware.
› Prerequisites
No formal prerequisites. Associated SANS course strongly recommended.
› Study materials
Curated starting points. Not exhaustive — vet each against your learning style and the current exam version.
- SANS SEC595 Course Materials — SANS
- GIAC Practice Tests (2 included with exam)
› Version & lifecycle
› Salary signal
ML engineer in security, US, 4-6 years. Newer role category.
Robert Half Salary Guide extrapolation · 2024 · US base only · p25–p75 range
› How it compares
GMLE is the data-science engineering cert; GASAE is AI-security automation.
↔ Compare side-by-side› Careers that commonly pursue this cert
Secure AI/ML systems from adversarial attacks, data poisoning, and model compromise. The fastest-growing specialization in cybersecurity.
Secures the platform that trains, stores, and serves ML models — multi-tenant GPU isolation, pipeline integrity, feature-store hygiene, secrets management in ML workflows.
See this cert’s domains highlighted on the interactive map, or compare it against the rest of the catalog.