AI Risk Management and Security in the Public Sector Training Course
Artificial Intelligence (AI) introduces new layers of operational risk, governance complexities, and cybersecurity vulnerabilities for government agencies and departments.
This instructor-led live training (available online or onsite) is designed for public sector IT and risk professionals with limited prior AI experience who want to learn how to evaluate, monitor, and secure AI systems within a government or regulatory framework.
Upon completion of this training, participants will be able to:
- Understand key risk concepts associated with AI systems, such as bias, unpredictability, and model drift.
- Implement AI-specific governance and auditing frameworks, including the NIST AI RMF and ISO/IEC 42001.
- Identify cybersecurity threats directed at AI models and data pipelines.
- Develop cross-departmental risk management plans and align policies for AI deployment.
Course Format
- Interactive lectures and discussions focusing on public sector use cases.
- Exercises on AI governance frameworks and policy mapping.
- Scenario-based threat modeling and risk evaluation.
Customization Options
- To request customized training for this course, please contact us to make arrangements.
Course Outline
Understanding AI-Specific Risks in Government Settings
- How AI risk differs from traditional IT and data risk.
- Categories of AI risk: technical, operational, reputational, and ethical.
- Public accountability and risk perception in government.
AI Risk Management Frameworks
- NIST AI Risk Management Framework (AI RMF).
- ISO/IEC 42001:2023 — AI Management System Standard.
- Other sector-specific and international guidance (e.g., OECD, UNESCO).
Security Threats to AI Systems
- Adversarial inputs, data poisoning, and model inversion.
- Exposure of sensitive training data.
- Supply chain and third-party model risks.
Governance, Auditing, and Controls
- Human-in-the-loop and accountability mechanisms.
- Auditable AI: documentation, versioning, and interpretability.
- Internal controls, oversight roles, and compliance checkpoints.
Risk Assessment and Mitigation Planning
- Building risk registers for AI use cases.
- Collaborating with procurement, legal, and service design teams.
- Conducting pre-deployment and post-deployment evaluations.
Incident Response and Public-Sector Resilience
- Responding to AI-related incidents and breaches.
- Communicating with stakeholders and the public.
- Embedding AI risk practices in cybersecurity playbooks.
Summary and Next Steps
Requirements
- Experience in IT operations, risk management, cybersecurity, or compliance within government institutions.
- Familiarity with organizational security practices and digital service delivery.
- No prior technical expertise in AI systems is required.
Audience
- Government IT teams responsible for digital services and systems integration.
- Cybersecurity and risk professionals working in public institutions.
- Public sector personnel involved in audit, compliance, and governance.
Open Training Courses require 5+ participants.
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Testimonials (1)
I got to learn more about Microsoft Copilot, something that I thought was the same as chatGPT but I got to discover more exciting options that I will forever use to make my life easy.
Thato Malapane - MSP Mine Support Products (Pty) ltd
Course - AI Tools for Administrative Efficiency (ChatGPT, Copilot, Gemini)
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