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OC-SAIPASD · AI Security: DefensivePractitionerIn development

Securing AI Pipelines & MLOps

In development · enrolment sequence to be confirmed

LevelPractitioner
PrerequisitesFoundation or equivalent
StatusIn development
SpecificationDraft · not approved
EnrolmentNot yet open

01Overview

Pipeline and MLOps security: MCP authentication architecture, pipeline integrity validation and secure deployment 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

02Planned topics

Planned · outcomes published with the specification
  • MCP authentication architecture
  • Pipeline integrity validation
  • Secure deployment controls

03Proposed case references

Source review pending
I-3
OpenClaw/ClawHub MCP Marketplace CrisisSource review · In review

Proposed connection, subject to source review. I-3 is the primary anchor case. Pipeline integrity and MCP authentication controls are taught from its failure path.

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 ASD domain.

How faculty are appointed →

Official specification registerOC-SAIPSpecification 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.