Model Integrity & Data Poisoning Defense

In development · enrolment sequence to be confirmed

LevelPractitioner

PrerequisitesFoundation or equivalent

StatusIn development

SpecificationDraft · not approved

EnrolmentNot yet open

01Overview

Model provenance verification, poisoning detection and integrity validation controls.

Domain scope · ASD

The defensive core: AI threat taxonomy, control-plane implementation, token security, pipeline and model integrity, and AI incident response.

Intended for: Security practitioners moving into AI security or deepening it

02Proposed case references

Source review pending

I-2

OpenAI/DeepSeek Model Distillation CampaignSource review · In review

Proposed connection, subject to source review. I-2 is the anchor case. Model provenance and integrity controls are taught against its documented distillation pattern.

03Assessment

Format, duration, passing score and practical component are published with the approved specification.

04Instructor

TBA

Announced when appointed

Instructors are practitioners appointed against a written standard for the ASD domain.

How faculty are appointed →

05Related courses

In this domain · ExpertOC-AAMLDAdvanced Adversarial ML Defense In this domain · PractitionerOC-AIIRAI Incident Response & Recovery In this domain · ExpertOC-AISCSAI Supply Chain Security

View all 11 planning codes in AI Security: Defensive →

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Quick factsDraft

Course code	OC-MIDP
Standard ID	Assigned at approval
Domain	ASD · AI Security: Defensive
Level	Practitioner
Status	In development
Priority	Enrolment sequence to be confirmed
Prerequisites	OC-AISF or equivalent experience.
Corpus source	I-2
Duration	To be confirmed
Delivery	To be confirmed
Pricing	To be confirmed
Session dates	To be confirmed
Instructor	Founding cohort — appointment pending
Specification	Draft · not yet issued

Official specification registerOC-MIDPSpecification 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.