IT Security
AI Security, Governance and Cyber Risk Management
This course helps security, risk, IT, and business teams understand how artificial intelligence changes the cyber risk landscape. Participants learn how to assess AI tools, protect sensitive data, manage AI-related vulnerabilities, define governance controls, and align AI adoption with cybersecurity and compliance requirements.
Objectives
- Understand how AI changes cyber threats, fraud risk, and security operations.
- Identify vulnerabilities in AI tools, prompts, data flows, and integrations.
- Define governance controls for secure and responsible AI use.
- Assess AI vendor, privacy, data leakage, and model misuse risks.
- Build practical review checklists for AI deployment and monitoring.
- Coordinate security, risk, legal, IT, and business stakeholders.
Target audience
- Cybersecurity and IT security professionals
- Risk, compliance, audit, and governance teams
- IT managers and digital transformation teams
- Business leaders responsible for AI adoption
- Data protection and privacy officers
Program outline
A clear structure for the learning journey.
Program outline
Outline points are grouped in one designed block instead of being treated as separate module cards.
Module 1: AI and the Cyber Risk Landscape
How generative AI, automation, and analytics reshape cyber risk
AI-enabled phishing, fraud, deepfakes, and social engineering
AI risks in internal tools, SaaS platforms, and shadow IT
Module 2: AI System Vulnerabilities
Prompt injection, data leakage, hallucinations, and unsafe outputs
Model access, plugins, APIs, and integration exposure
Sensitive data handling and confidentiality boundaries
Module 3: AI Governance and Control Design
AI acceptable-use policies and approval workflows
Human review, accountability, documentation, and escalation
Risk classification for AI use cases and tools
Module 4: Vendor and Compliance Risk
AI vendor due diligence and contract considerations
Privacy, records retention, auditability, and regulatory expectations
Third-party AI tools and cross-border data concerns
Module 5: Monitoring and Incident Readiness
Security monitoring for AI-supported workflows
AI incident scenarios and response planning
Workshop: Building an AI cyber risk checklist
Materials provided
- ○ Slides used during the sessions
- ○ Group activities and exercises
- ○ Worksheets and templates
- ○ Case studies relevant to the course
- ○ 4D Certificate of Completion issued by 4D Training & Consultancy
- ○ Post-course support for technical queries and guidance
Training Options
Programs can be delivered in-house, online, or in a blended format depending on your team's schedule, location, and learning objectives. When an external certificate or exam is included, certification rules and fees remain under the relevant awarding body's policies, while 4D provides the training and preparation support.
Why choose 4D
At 4D Training & Consultancy, we do not believe in one-size-fits-all training. Each program is tailored around your organization’s goals, industry realities, team maturity, and operational challenges. Our trainers and consultants use practical case studies, interactive exercises, and workplace-focused discussions so participants can apply what they learn immediately.
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