Integrated Cybersecurity, AI Security & Digital Asset Protection Program
Duration
5 Days
Level
Intermediate Level
Design and Tailor this course
As per your team needs
Overview
This program delivers a unified, job-ready curriculum that integrates AI Security, Cybersecurity Fundamentals, and Digital Asset Security & Compliance into a cohesive training experience. The course equips participants with the skills required to understand, secure, and operationalize emerging technologies across modern cyber environments.
Learners progress from foundational cybersecurity awareness to advanced AI and digital asset security concepts – without duplication – ensuring a structured, streamlined, and industry-aligned learning journey.
Audience
- Cybersecurity teams (beginner to intermediate)
- Financial Crimes & AML/KYC professionals
- Technology, Data, and AI practitioners
- Risk, Compliance, and Audit professionals
- Anyone seeking foundational or advanced knowledge in cyber, AI risks, or digital asset security
Prerequisites
- No prior deep technical knowledge required
- Basic understanding of IT systems or financial crime concepts is helpful
- Curiosity about AI, cybersecurity, or blockchain technologies
- For advanced AI or Digital Asset modules, familiarity with Python or cloud platforms is beneficial but optional
Curriculum
AI System Vulnerabilities
- Vulnerabilities in AI applications + real‑world examples
- Issues with MLOps frameworks
- Insecure serialization in ML models
Adversarial Machine Learning
- Adversarial learning attacks
- Fooling image classifiers & object detection
- Physical adversarial patches
- Bypassing face recognition systems
Model Exploitation & Manipulation
- Model stealing & model extraction
- Model skewing and data poisoning (feedback loop manipulation)
Securing LLMs & Agentic AI Systems
- Prompt injection & jailbreak attacks on LLMs
- Attacking RAG and Agentic AI systems
- Breaking Agentic AI applications & MCP-related risks
- Risks with internal organisational chatbots
AI Security Frameworks
- MITRE ATLAS
- OWASP ML/LLM Top 10
Cybersecurity Fundamentals
- Core cyber concepts (network, identity, threat basics)
- Cyber terminology simplified for business teams
- Overview of enterprise security functions
Cyber & Financial Crime Connections
- How cyber threats impact AML/KYC processes
- Fraud, scams, phishing, and business email compromise (BEC)
- How attackers target financial systems (non‑AI focus)
Introduction to Automation for Cyber & Financial Crimes
- What automation means in cyber and financial crime contexts
- Low‑code/no‑code automation concepts
- Example automation use cases (case management, triage)
Skills Validation & Certifications
- Suggested beginner‑friendly certifications
- Internal cyber readiness quiz (non‑technical)
Introduction to Digital Assets (DA)
- Crypto, NFTs, tokenised assets, CBDCs
- DeFi fundamentals
- Market structure: exchanges, custodians, validators
- DA vs traditional assets
Outcome: Understand DA ecosystem structure.
Blockchain Architecture & Technology Foundations
- DLT
- Consensus mechanisms
- Smart contracts (functions, vulnerabilities)
- Wallets, keys, accounts
Outcome: Understand blockchain components.
Digital Asset Security Risks & Threat Landscape
- Private key theft, phishing, SIM swap
- Smart contract exploits
- Exchange & protocol compromises
- AI‑enabled attacks (context‑specific, not overlapping Module 1)
Outcome: Identify DA‑specific risks.
Threat Detection & Incident Response (GTM/CIC – Bart)
- Blockchain monitoring tools
- DA evidence collection
- DA incident workflows
Outcome: Handle DA‑specific incidents.
Compliance, Regulation & Governance
- AML/KYC for DA platforms
- FATF Travel Rule
- Custody standards (hot/warm/cold, MPC)
- Risk management frameworks
Outcome: Apply regulatory controls.
Secure Operations & Best Practices
- Node security
- IAM for blockchain
- Key management (HSM, vault, MPC)
- AI‑enhanced monitoring (non‑overlapping, DA‑context only)
Outcome: Operate secure DA environments.
Case Studies & Capstone
- Ronin Bridge Hack
- FTX collapse (governance/security)
- DAO smart contract exploit
Capstone: incident response workflow, risk mitigation, compliance checklist.
Duration
5 Days
Level
Intermediate Level
Design and Tailor this course
As per your team needs
