Program Overview
As AI and digital systems redefine business operations, the convergence of cyber risk, ethics, and regulation has become a boardroom priority. This program empowers leaders to anticipate and manage the new generation of technology risks — from adversarial AI attacks to algorithmic bias and data governance failures. Participants will explore global frameworks like the EU AI Act, NIST AI RMF, and India’s DPDPA 2023, and learn how to design responsible innovation practices aligned with regulatory expectations. Through case studies and simulations, the program integrates cybersecurity principles, AI ethics, and compliance strategy to help organizations operationalize trust and transparency while maintaining business agility in a fast-evolving tech landscape.
Features
- Identify and assess AI-driven cyber risks and vulnerabilities across the enterprise
- Apply ethical AI principles (Fairness, Transparency, Accountability, Explainability) to business and technology decisions
- Interpret and align with global AI and data regulations (EU AI Act, DPDPA, NIST AI RMF, ISO 42001)
- Design an actionable cyber-ethics and governance roadmap for responsible innovation
Target audiences
- Risk and Compliance Professionals
- Legal Advisors
- Strategy Teams
- Cybersecurity Engineers and IT Professionals
Curriculum
- 5 Sections
- 32 Lessons
- 1 Day
Expand all sectionsCollapse all sections
- Cyber-Risk in the Age of AI6
- 1.1Shift from traditional IT security to AI-enabled cyber threats
- 1.2Vulnerabilities in ML models, data pipelines, APIs, and IoT systems
- 1.3Real-world cases: Deepfake scams, adversarial attacks, data poisoning, prompt injections
- 1.4Frameworks and standards: NIST CSF, MITRE ATT&CK, Zero Trust Architecture
- 1.5Business impact: cyber incidents on brand, compliance, and financial resilience
- 1.6Case Study: SolarWinds, ChatGPT prompt leak, WannaCry
- AI Ethics & Responsible Innovation6
- 2.1Core ethical pillars: Fairness, Accountability, Transparency, Explainability (FATE)
- 2.2Sources and mitigation of bias in datasets and algorithms
- 2.3Ethical dilemmas: surveillance, discrimination, misinformation, and automated decision-making
- 2.4Global frameworks: OECD AI Principles, UNESCO AI Ethics, IEEE Ethically Aligned Design
- 2.5Building: Ethics-by-Design and establishing AI Ethics Committees
- 2.6Discussion: AI gone wrong scenarios (e.g., COMPAS, Amazon HR algorithm bias)
- Global Regulatory Landscape & Risk Compliance8
- 3.1Overview of key AI and data regulations: EU AI Act – risk-based classification, transparency obligations
- 3.2NIST AI RMF – governance, map-measure-manage framework
- 3.3India’s DPDPA 2023 – data protection and consent management
- 3.4China’s Algorithmic Regulation and US Executive Orders on AI
- 3.5Compliance overlaps and data localization mandates
- 3.6Role of governance, audit readiness, and documentation standards (ISO/IEC 42001, 27001)
- 3.7ESG & sustainability disclosures influencing ethical AI governance
- 3.8Case Study – how global companies adapted to the EU AI Act and GDPR transitions.
- Designing a Cyber-Ethics & Compliance Strategy6
- 4.1Building internal AI governance models — roles, accountability, and escalation
- 4.2Integrating security, privacy, and ethics into AI lifecycle (design → deploy → monitor)
- 4.3Governance tools: AI audit trails, red-teaming, bias testing, risk heatmaps
- 4.4Aligning with corporate policies, third-party vendor risk, and data ethics charters
- 4.5Creating a regulatory response plan for audits or incidents.
- 4.6Exercise: Design a “Responsible AI Playbook” for a hypothetical AI rollout (e.g., in financial services or healthcare)
- Boardroom Alignment & Future Trends6
- 5.1Cyber accountability and board-level governance frameworks.
- 5.2Translating cyber and AI risks into enterprise KPIs and dashboards.
- 5.3Emerging risk frontiers: quantum threats, AI-generated misinformation, liability laws.
- 5.4Governance as a competitive differentiator — trust, transparency, and resilience.
- 5.5Building an enterprise roadmap: Assess → Govern → Monitor → Report.
- 5.6Approach: Reflection, Q&A, and co-creation of leadership action plans.
Instructor
