Certified Master of AI Security Professional (C-MAISP) Certification Course by Tonex
The Certified Master of AI Security Professional (C-MAISP) is an intensive 2-day certification program designed for experienced professionals responsible for protecting artificial intelligence systems. The program provides comprehensive coverage of AI-specific threat landscapes, adversarial tactics, model vulnerabilities, and AI governance frameworks.
Participants will explore the latest tools and techniques for securing AI/ML systems, conduct AI red teaming exercises, and apply secure architecture principles. Upon successful completion, candidates will receive the C-MAISP certification, verifying their capability to manage, assess, and defend AI systems at enterprise scale.
Learning Objectives
Participants completing the C-MAISP certification will be able to:
- Analyze the unique security challenges of AI systems across development and deployment.
- Detect and mitigate adversarial attacks (e.g., evasion, poisoning, extraction).
- Integrate zero-trust principles into AI and ML pipelines.
- Conduct threat modeling and AI security risk assessments.
- Implement secure AI model training, deployment, and maintenance.
- Apply AI-specific compliance standards, governance frameworks, and ethical protocols.
- Lead or contribute to AI red teaming efforts and security audits.
Target Audience
- AI Security Engineers and Architects
- Machine Learning and Data Scientists
- Chief Information Security Officers (CISOs)
- AI/ML Developers
- DevSecOps Engineers
- AI Governance Officers
- Compliance and Risk Professionals
- Technology Leaders and Consultants in AI Projects
Prerequisites
- Intermediate knowledge of AI/ML workflows and model training
- Working knowledge of cybersecurity principles
- Familiarity with Python and cloud-based AI deployments recommended
Course Agenda
Day 1 – Core Threats and AI Risk Landscape
- The AI/ML Lifecycle and Security Risk Surface
- Adversarial Machine Learning: Threat Vectors & Case Studies
- Model Theft, Poisoning, and Evasion Attacks
- Securing Data Pipelines and Training Sets
- Secure ML Ops and Deployment Environments
Day 2 – Defenses, Red Teaming, and Governance
- AI Red Teaming, Blue Teaming, and Penetration Testing
- Defense Mechanisms: DP, FL, RDP, Encryption
- Zero Trust and Secure AI Architecture
- AI Governance: NIST AI RMF, ISO/IEC 42001, and OECD AI Principles
- AI Security Risk Management and Audit Planning
Certification Exam: Domains and Weighting
Domain Weight
- AI/ML Lifecycle & Security Risk Analysis 20%
- Adversarial Threats and Defensive Mechanisms 25%
- Secure ML Ops and AI Architecture 20%
- AI Red Teaming & Security Testing 15%
- AI Governance, Risk, and Compliance (GRC) 20%
Exam Details and Passing Criteria
- Format: 40 multiple-choice and scenario-based questions
- Duration: 90 minutes
- Delivery: Online or onsite (proctored)
- Passing Score: 75%
- Credential Awarded: Certified Master of AI Security Professional (C-MAISP)
- Validity: 3 years (renewable via continuing education or re-exam)