AI Compliance: Governance, Risk & Security
Technical deep-dive for AI security and risk management
Master AI-specific security threats, data governance frameworks, and robust GenAI policy implementation to build enterprise-grade AI risk management plans for Australian organisations.
At a Glance
Who it's for
- IT Administrators managing AI infrastructure
- Security Professionals implementing AI controls
- Compliance Officers overseeing AI governance
- AI Policy Makers designing organisational frameworks
- Risk managers evaluating AI adoption
Course Details
Course Overview
This intensive advanced course equips IT administrators, security professionals, and compliance officers with the technical expertise to build comprehensive AI risk management plans. You'll master AI-specific security threats including data poisoning, model inversion, adversarial attacks, and prompt injection exploits. Through hands-on labs and real-world scenarios, you'll implement robust data governance frameworks, secure LLM deployments, and create practical GenAI policies aligned to Australian regulatory requirements including the Privacy Act, Essential Eight, ISO 27001, ISO 42001, and the APPs. This is the definitive technical training for teams responsible for securing AI systems in Australian enterprises.
What You'll Learn
Course Curriculum
Module 1: AI Security Threat Landscape
10 hours- AI-specific attack vectors and threat models
- Data poisoning and training data manipulation
- Model inversion and membership inference attacks
- Adversarial machine learning and evasion techniques
- Supply chain risks in AI model deployment
- Emerging threats in generative AI systems
Module 2: Advanced Prompt Injection Defence
12 hours- Understanding prompt injection attack patterns
- Input validation and sanitisation for LLMs
- Context separation and privilege boundaries
- Implementing secure prompt templates
- Defence-in-depth strategies for conversational AI
- Monitoring and detecting prompt exploitation attempts
Module 3: LLM Security and API Protection
11 hours- Securing Large Language Model deployments
- API authentication and authorisation for AI services
- Rate limiting and abuse prevention
- Model access controls and privilege management
- Securing fine-tuning and model customisation pipelines
- Third-party AI service risk assessment
Module 4: Data Governance for AI Systems
13 hours- Data classification and sensitivity labelling for AI
- Privacy-preserving AI techniques (differential privacy, federated learning)
- Australian Privacy Principles (APPs) compliance in AI
- Data retention, lineage, and auditability
- Managing personal and sensitive information in training data
- Cross-border data transfer considerations for AI
Module 5: AI Risk Assessment and Frameworks
12 hours- Conducting AI-specific risk assessments
- ISO 27001 controls adapted for AI systems
- ISO 42001 AI management system implementation
- Essential Eight maturity assessment for AI infrastructure
- Threat modelling for machine learning pipelines
- Quantitative risk analysis for AI deployments
Module 6: AI Policy Development and Implementation
10 hours- Designing organisational GenAI acceptable use policies
- Balancing innovation with security and compliance
- Policy enforcement mechanisms and technical controls
- Employee training and awareness programs
- Third-party AI vendor assessment criteria
- Policy templates and Australian regulatory alignment
Module 7: AI Monitoring, Auditing, and Incident Response
9 hours- Continuous monitoring of AI system behaviour
- Logging and audit trails for AI activities
- Anomaly detection in AI inputs and outputs
- Investigating AI security incidents
- Model compromise and breach response procedures
- Regulatory reporting obligations for AI incidents
Module 8: Building the AI Risk Management Plan
3 hours- Components of a comprehensive AI risk management plan
- Aligning AI governance to organisational risk appetite
- Stakeholder communication and executive reporting
- Continuous improvement and adaptation
- Australian case studies and real-world implementations
Who Should Attend
- IT Administrators managing AI infrastructure and services
- Security Professionals implementing AI security controls
- Compliance Officers overseeing AI governance programs
- AI Policy Makers designing organisational frameworks
- Risk Managers evaluating AI adoption and threats
- Security Architects integrating AI into security architecture
- Data Governance Specialists managing AI data pipelines
Prerequisites
Before enrolling, please ensure you meet these requirements:
- • Strong foundation in cybersecurity principles and practices
- • Experience with security frameworks (ISO 27001, NIST CSF, Essential Eight)
- • Understanding of data governance and privacy regulations
- • Minimum 3 years experience in IT security, compliance, or risk management
- • Familiarity with cloud security and API architectures
Delivery, Format and Logistics
Delivery Mode
Self-paced certification path + intensive 2-day virtual bootcamps
Maximum 12 participants for intensive hands-on labs
What You'll Need
- Strong understanding of cybersecurity fundamentals
- Experience with security frameworks (ISO 27001, NIST, Essential Eight)
- Familiarity with data governance and privacy regulations
- Laptop with administrative access for security labs
- Minimum 3 years experience in IT security or compliance roles
What You'll Receive
- 80 hours of comprehensive technical content
- Hands-on security labs and scenario-based exercises
- Two 2-day intensive virtual bootcamps with expert instructors
- AI threat intelligence briefings and case studies
- Risk assessment templates and policy frameworks
- Access to AI security testing tools and environments
- Certificate of completion
- 12 months access to course materials and updates
- Quarterly follow-up sessions on emerging AI threats
- Membership in AI security professional community
Frequently Asked Questions
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Next Intake
September 2026 — register your interest at educ4te.com
Format
Self-paced certification path + intensive 2-day virtual bootcamps
Group & Enterprise Options
Discounted rates available for teams of 3+ delegates. Contact us for in-house delivery options.
What's Included
- 80 hours of comprehensive technical content
- Hands-on security labs and scenario-based exercises
- Two 2-day intensive virtual bootcamps with expert instructors
- AI threat intelligence briefings and case studies
- Risk assessment templates and policy frameworks
- Access to AI security testing tools and environments
- Certificate of completion
- 12 months access to course materials and updates
- Quarterly follow-up sessions on emerging AI threats
- Membership in AI security professional community
Have questions about this course?