Consultation
Consultation

NATIONAL AI CAPACITY PROGRAMME

BUILDING AI SAFETY CAPACITY & DIGITAL TRUST RESILLENCE

A Tiered National Capability Programme — Safety, Trust, and Resilience

Register Now

NATIONAL AI CAPACITY PROGRAMME

BUILDING AI SAFETY CAPACITY & DIGITAL TRUST RESILLENCE

A Tiered National Capability Programme — Safety, Trust, and Resilience

Register Now

Empower Your Workforce to Lead with AI

A national capability programme designed to help organisations and their people understand AI, build practical skills, and lead with confidence — creating a workforce ready to embrace AI safely, securely, and responsibly.

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AI SAFETY

Build AI You
Can Trust

Build reliable and accountable AI practices, with the right controls and human oversight to keep AI use safe.
What participants will build
  • Recognise AI Risks
  • Recognise AI Risks
  • Apply Human Oversight
  • Use AI Responsibly

DIGITAL TRUST

Protect What People Trust

Protect identity, content and transactions as deepfakes, synthetic media and AI-driven manipulation become more sophisticated.
What participants will build
  • Spot Synthetic Media
  • Verify Information
  • Protect Digital Identity
  • Strengthen Data Integrity

RESILIENCE

Built to Stay Resilient

Strengthen your organisation’s ability to detect, respond to and recover from AI-related threats, failures and disruption.
What participants will build
  • Secure AI Use
  • Identify AI Threats
  • Respond to Incidents
  • Build Recovery Capability

Three Pillars. One AI-Ready Organisation.

Time Module Content
9:00 – 9:30 Welcome & National Context
  • Why AI safety, trust, and resilience matter now — for you, your organisation, and the nation
  • Malaysia's national direction: NAIO, the AIGE guidelines, etc.
9:30 – 10:45 Pillar 1 — AI Safety: When AI Gets It Wrong
  • How AI fails: bias, hallucination, and unreliable or unsafe outputs, with real examples
  • Why human oversight and judgment remain essential
  • Recognising when to trust — and when to question — an AI output
10:45 – 11:00 ☕ Morning Break
11:00 – 12:30 Pillar 2 — Digital Trust: Deepfakes, Identity & What to Believe
  • Deepfakes, voice cloning, and synthetic identity explained
  • Real threats in Malaysia: deepfake investment scams and executive impersonation
  • Verifying what you see and hear: provenance and simple verification habits
12:30 – 1:30 🍽️ Lunch
1:30 – 3:00 Pillar 3 — Resilience: Securing AI & Staying Safe
  • AI-powered attacks and the risk of unmanaged 'shadow AI' at work
  • Protecting data and privacy when using AI tools
  • Spotting, reporting, and responding to AI-related incidents
3:00 – 3:15 ☕ Afternoon Break
3:15 – 4:15 Applied — Safe & Responsible AI in Your Daily Work
  • Practical safe-use habits aligned to responsible-AI principles
  • Your organisation's AI acceptable-use basics
  • Hands-on scenario: spotting the safety, trust, and resilience issues
4:15 – 5:00 Closing — Your Safe-AI Commitments & National Alignment
  • Personal and team commitments to safe, trusted AI use
  • How everyday practice supports the national AI agenda
  • Certification and the pathway to the Practitioner tier
Time Module Content
9:00 – 10:45 AI Failure Modes & Output Evaluation
  • Understanding how AI systems fail: bias, hallucination, drift, and robustness gaps
  • Methods for evaluating and benchmarking AI outputs systematically
  • Establishing acceptance criteria and human-in-the-loop checkpoints
☕ 10:45 – 11:00 — Morning Break
11:00 – 1:00 AI Red-Teaming Fundamentals
  • Adversarial prompting and jailbreak testing techniques
  • Probing models for unsafe, biased, or leaking behaviour
  • Documenting findings and severity in a structured way
🍽️ 1:00 – 2:00 — Lunch
2:00 – 3:30 Guardrails & Safe-by-Design Controls
  • Designing input/output guardrails and content filters
  • Human oversight and escalation patterns for higher-risk use
  • Safety testing as part of the development lifecycle
☕ 3:30 – 3:45 — Afternoon Break
3:45 – 5:00 Hands-On Lab: Red-Team & Evaluate an AI System
  • Teams red-team a provided AI application and evaluate its safety
  • Produce a findings report with recommended guardrails

Day 1 — AI Safety Engineering

Time Module Content
9:00 – 10:45 Securing the AI Stack
  • Protecting data, models, and pipelines across the AI lifecycle
  • Access control, secrets, and the AI supply chain
  • Threats unique to AI systems versus traditional software
☕ 10:45 – 11:00 — Morning Break
11:00 – 1:00 OWASP Top 10 for LLMs in Practice
  • Prompt injection, insecure output handling, and training-data poisoning
  • Model denial-of-service, supply-chain, and sensitive-information disclosure
  • Hands-on: exploit and then defend a vulnerable AI application
🍽️ 1:00 – 2:00 — Lunch
2:00 – 3:30 Digital Trust: Deepfake & Synthetic-Media Defence
  • Deepfake and synthetic-media detection techniques and tools
  • Content provenance, watermarking, and authentication standards
  • Defending identity verification and e-KYC processes
☕ 3:30 – 3:45 — Afternoon Break
3:45 – 5:00 Hands-On Lab: Attack & Defend
  • Teams exploit AI vulnerabilities, then implement and test defences
  • Debrief against the OWASP LLM reference

Day 2 — Digital Trust & AI Security

Day 3 — Resilience Engineering & Operations

Time Module Content
9:00 – 10:45 Threat Modelling for AI Systems
  • Mapping the attack surface of an AI-enabled service
  • Prioritising risks and designing mitigations
  • Integrating AI risk into existing security processes
☕ 10:45 – 11:00 — Morning Break
11:00 – 1:00 Monitoring, Detection & Response
  • Logging, monitoring, and anomaly detection for AI systems
  • Detecting AI-specific incidents: abuse, drift, data leakage, and compromise
  • Building an AI incident-response process
🍽️ 1:00 – 2:00 — Lunch
2:00 – 3:30 Secure Deployment & AI Security Operations
  • Secure deployment patterns and continuous monitoring
  • Recovery and continuity for AI-related failures
  • Building an ongoing AI security operations capability
☕ 3:30 – 3:45 — Afternoon Break
3:45 – 5:00 Hands-On Lab: AI Incident-Response Simulation
  • Teams run a simulated AI-security incident end to end
  • Produce a reusable AI incident-response playbook
Time Module Content
9:00 – 10:45 The AI Governance Landscape
  • Malaysia's framework: the AIGE guidelines, NAIO direction, and PDPA developments
  • International references: NIST AI Risk Management Framework, ISO/IEC 42001, and EU AI Act awareness
  • How the pieces fit into a coherent governance approach
☕ 10:45 – 11:00 — Morning Break
11:00 – 1:00 Risk-Based AI Governance
  • Classifying AI use cases by risk and impact
  • Matching controls and oversight to the level of risk
  • Balancing innovation with safety, trust, and accountability
🍽️ 1:00 – 2:00 — Lunch
2:00 – 3:30 Roles, Accountability & Operating Model
  • The AI governance operating model and who owns what
  • Accountability, escalation, and decision rights
  • Building the governance function within the organisation
☕ 3:30 – 3:45 — Afternoon Break
3:45 – 5:00 Hands-On: Map Your AI Risk Landscape
  • Participants classify their organisation's AI use against a risk-based framework
  • Identify priority governance gaps

Day 1 — Governance Foundations & National Alignment

Time Module Content
9:00 – 10:45 Policies & Assurance
  • Core AI policies: acceptable use, safety, incident, and procurement
  • AI assurance: risk assessment, impact assessment, and audit
  • Embedding safety and trust requirements into policy
☕ 10:45 – 11:00 — Morning Break
11:00 – 1:00 Managing Third-Party & Vendor AI Risk
  • Assessing and contracting for AI in the supply chain
  • Due diligence on vendor safety, security, and data practices
  • Ongoing oversight of third-party AI
🍽️ 1:00 – 2:00 — Lunch
2:00 – 3:30 Leadership, Reporting & Culture
  • Board and stakeholder reporting on AI risk and posture
  • Building a culture of responsible, safe AI adoption
  • Leading change and sustaining the capability
☕ 3:30 – 3:45 — Afternoon Break
3:45 – 5:00 Hands-On: Draft Your AI Governance Roadmap
  • Participants build a prioritised AI governance roadmap for their organisation
  • Present for peer and facilitator feedback

Day 2 — Building & Leading the AI Governance Posture

Tier 1 Agenda
Tier 2 Agenda
Tier 3 Agenda

Ready to Build Your AI Capability?

The future belongs to organisations that can adopt AI with confidence, protect digital trust and stay resilient.

Complete the form below and our team will be in touch to explore how the programme can support your organisation’s AI readiness.


Discover How to Build a Safer, AI-Ready Workforce

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Contact Our Team

  • general@peoplelogy.com
  • (+60)3 – 2287 1829
  • Unit 17-11 & 19-11, The Boulevard Office, Mid Valley City, Lingkaran Syed Putra, 59200 Kuala Lumpur.
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