Digital Assets Security & Compliance Fundamentals
Cybersecurity & Regulatory Foundations for Digital Asset Ecosystems
Duration
3 Days
Level
Intermediate Level
Design and Tailor this course
As per your team needs
Overview
Digital Assets (DA) – including cryptocurrencies, NFTs, tokenized securities, and decentralized financial instruments – are transforming the global financial landscape. As adoption grows, cybersecurity professionals must develop specialized skills to secure digital asset ecosystems, detect evolving threats, and ensure compliance with regulatory standards.
This program builds foundational and technical expertise in DA security, risk management, and compliance.
Audience
This program is designed for:
- Cybersecurity professionals (SOC, IR, Threat Intelligence, Red/Blue Teams)
- IT Security Engineers and Analysts
- Compliance Officers (AML, KYC, Governance, Risk & Compliance)
- Blockchain/DA Operations Teams
- Financial services professionals entering digital asset security
- Technology professionals seeking foundational knowledge in AI/DA security
- Leaders or managers responsible for digital transformation and DA initiatives
Prerequisites
Participants should have:
- Basic understanding of cybersecurity concepts (network security, identity & access, threat fundamentals)
- Familiarity with financial or digital product environments
- Interest in blockchain, Web3, or digital asset ecosystems
- No prior blockchain or digital asset security experience required (program begins with fundamentals)
Optional (recommended):
- Basic understanding of scripting or technical tools
- Exposure to incident response or compliance frameworks
Curriculum
- Evolution of Digital Assets: Crypto, NFTs, Tokenized Assets, CBDCs
- Web3 & Decentralized Finance (DeFi) fundamentals
- DA market structure: exchanges, custodians, validators, DeFi protocols
- Digital assets vs. traditional financial assets
Outcomes
- Understand the DA ecosystem and its relevance to cybersecurity
- Identify major DA categories and use cases
- Distributed ledger technology (DLT) principles
- Consensus mechanisms (PoW, PoS, BFT, etc.)
- Smart contracts: functions, vulnerabilities, and audit basics
- Wallets, keys, and account models (EOA vs. Smart Contract wallets)
- Hands-on Activities (optional)
- Explore blockchain explorers
- Create/test a simple smart contract
- Wallet setup & private key management basics
Outcomes
- Gain technical understanding of blockchain layers and components
- Recognize common blockchain vulnerabilities
- Threat actors & attack vectors in DA space
- Private key theft, phishing, wallet malware, SIM swap, DNS hijacking
- Smart contract exploits (reentrancy, oracle manipulation, rug pulls)
- Exchange breaches and DeFi protocol compromises
- AI-enabled threats: automated exploitation, social engineering at scale
Outcomes
- Identify and classify DA-specific cyber threats
- Understand how AI impacts DA attack surface
- DA-focused incident detection frameworks
- GTM/CIC response methodologies (Bart integration)
- Monitoring tools: SIEM, blockchain analytics, anomaly detection
- Evidence preservation in decentralized environments
- Case studies: Major crypto exchange hacks, DeFi exploits
Exercises
- Threat identification simulations
- Mapping DA incidents to response workflows
Outcomes
- Enhance skills in DA threat detection and response
- Operationalize response methods aligned with DA risks
- AML & KYC frameworks for DA platforms
- Data privacy (GDPR, regional privacy laws) and secure data handling
- Travel Rule compliance (FATF)
- Asset custody standards (hot, warm, cold storage; MPC custody)
- Risk management frameworks for DA organizations
- Regulatory landscape (US, EU, APAC, global trends)
Outcomes
- Understand regulatory obligations in DA operations
- Apply compliance controls to prevent misuse of digital assets
- Security policies for DA custodians, exchanges, and financial institutions
- Identity and access management (IAM) for blockchain systems
- Network security, node security, API protection
- Key management, vaulting, HSMs, MPC-based security
- AI tools to enhance DA cybersecurity monitoring
Outcomes
- Implement secure DA operational processes
- Use security tools and best practices to mitigate DA risks
Activities
- Real-world breach analysis:
- Ronin Bridge Hack
- FTX collapse (governance/security implications)
- DAO smart contract exploit
- Capstone:
- Develop a DA risk mitigation plan
- Create a DA incident response workflow
- Draft compliance checklists for DA operations
Outcomes
- Apply learned concepts to real-world DA scenarios
- Demonstrate integrated technical, compliance, and security understanding
Duration
3 Days
Level
Intermediate Level
Design and Tailor this course
As per your team needs
