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OC-AIRTASO · AI Security: Offensive & Red TeamingFoundationIn development

AI Red Teaming

Priority 12 · in the launch sequence

LevelFoundation
PrerequisitesNone
StatusIn development
SpecificationDraft · not approved
EnrolmentNot yet open

01Overview

The entry point to offensive work: red-teaming methodology, scoping and AI-specific threat modelling.

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
  • Red-team methodology
  • Scoping
  • AI-specific threat modelling
  • MITRE ATLAS orientation

03Proposed case references

Source review pending
I-2
OpenAI/DeepSeek Model Distillation CampaignSource review · In review
I-5
Context AI/Vercel OAuth Supply Chain BreachSource review · In review
I-6
Adaptive AI Infrastructure 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.

How faculty are appointed →

Official specification registerOC-AIRTSpecification 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.