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 pendingI-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.
06Related courses
Next on the Security architect pathOC-AIIRAI Incident Response & RecoveryPrevious on the pathOC-AISPPAI Security Principles & Practices: GenAI & LLM DefenseIn this domain · ExpertOC-AAMLDAdvanced Adversarial ML Defense
Prerequisite forOC-AIIR AI Incident Response & Recovery Practitioner
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.