OC-AMLAASO · AI Security: Offensive & Red TeamingPractitionerIn development
Adversarial ML Attacks: Evasion, Extraction & Inference
In development · enrolment sequence to be confirmed
LevelPractitioner
PrerequisitesFoundation or equivalent
StatusIn development
SpecificationDraft · not approved
EnrolmentNot yet open
01Overview
Evasion attacks, model extraction and membership inference methodology.
Domain scope · ASO
Systematic red teaming of AI systems, from prompt injection to full-scope agent exploitation, including adversarial ML, model fingerprinting and purple teaming.
Intended for: Red team specialists, adversarial ML researchers, penetration testers
02Planned topics
Planned · outcomes published with the specification- Evasion attacks
- Model extraction methodology
- Membership inference
- The adversarial ML attack taxonomy
03Proposed case references
Source review pendingI-2
OpenAI/DeepSeek Model Distillation CampaignSource review · In review
Proposed connection, subject to source review. The specific connection between each case and the course content is published with the approved specification.
04Assessment
Format, duration, passing score and practical component are published with the approved specification.
05Instructor
TBA
Announced when appointed
Instructors are practitioners appointed against a written standard for the ASO domain.
06Related courses
Next on the Red team practitioner pathOC-FSRTFull-Scope AI Red Team OperationsPrevious on the pathOC-LLMPILLM Prompt Injection & Jailbreak EngineeringIn this domain · ExpertOC-AIFBBAI-Focused Bug Bounty & Exploit Research
Prerequisite forOC-FSRT Full-Scope AI Red Team Operations Expert
View all 9 planning codes in AI Security: Offensive & Red Teaming →
Official specification registerOC-AMLASpecification not yet issued
Version —Last reviewed —
This course is in active development. Duration, pricing, session dates and instructor are published when confirmed. Proposed case references, framework references, syllabus, labs and assessment are drafts until the course specification is approved.