Certified AI Crypto-Compliance Analyst (CAICCA) Certification Program by Tonex
Certified AI Crypto-Compliance Analyst (CAICCA) equips professionals to govern AI-driven crypto markets. You will connect algorithmic trading behaviors with AML/KYC, sanctions, and market-integrity rules. The program blends regulatory and technical fluency: blockchain analytics, model risk, data lineage, and audit trails. You will translate guidance from FATF, SEC/CFTC, and EU MiCA into practical controls. Emphasis is on explainable AI, calibrated thresholds, and alert triage. The outcome is defensible policies, playbooks, and evidence.
Cybersecurity impact is central. Crypto platforms are high-value targets. You will harden data pipelines, protect model artifacts, and safeguard keys and custody flows. Threat models include smart contracts, cross-chain bridges, oracles, and API abuse. Detection aligns with zero-trust, SIEM, and incident response. The result is fewer false positives and faster investigations.
The course fits compliance, risk, and security teams that must operationalize trustworthy AI at scale. It suits exchanges, payment providers, and institutions adopting tokenized assets. Graduates assess controls end-to-end: data collection, labeling, training, inference, governance, and reporting. You leave with a concise framework, checklists, and metrics that boards and regulators can follow. CAICCA turns regulation into engineering-ready requirements and measurable outcomes.
Learning Objectives:
- Map AI behaviors to global crypto regulations
- Build AML/KYC surveillance with blockchain analytics
- Design explainable, auditable detection models
- Calibrate thresholds and reduce false positives
- Govern model risk, drift, and bias
- Integrate controls with SIEM and incident response
- Protect keys, data, and model artifacts
- Produce regulator-ready evidence and reports
Audience:
- Cybersecurity Professionals
- Compliance and AML Officers
- Financial Crime Investigators
- Risk and Audit Managers
- Data/AI Leads in FinTech or Exchanges
- Legal and Policy Advisors
- Product and Operations Managers
- Payment and Custody Providers
Course Modules:
Module 1: Regulatory Landscape & Policy Translation
- Align FATF, MiCA, SEC/CFTC expectations
- Travel Rule and on/off-ramp monitoring
- Sanctions screening and evasion patterns
- KYC/CDD with AI and data minimization
- Market-abuse surveillance (spoofing, layering)
- Recordkeeping, retention, and auditability
Module 2: Blockchain Analytics & Data Engineering
- On-chain/mempool sources and logs
- Entity clustering and heuristics
- Cross-chain, bridge, and mixer tracing
- Features for risk scoring and alerts
- Data quality, lineage, and labeling
- Privacy-preserving analytics approaches
Module 3: AI Models for Crime Detection
- Supervised, unsupervised, and graph learning
- Explainability (e.g., SHAP, counterfactuals)
- Thresholding, triage, feedback loops
- Bias, drift, and concept shift controls
- Validation, backtesting, and benchmarks
- Human-in-the-loop review design
Module 4: Governance & Model Risk Management
- Control frameworks and policy hierarchy
- Model risk taxonomy and approvals
- Change management and versioning
- Documentation, evidence, and audits
- KPIs/KRIs, precision/recall targets
- Third-party and vendor risk terms
Module 5: Cybersecurity for Compliance Platforms
- Key management and custody controls
- API security and abuse defenses
- Smart contract and oracle threats
- Data encryption, access, and masking
- SIEM/SOAR integrations and alerts
- Incident response playbooks and runbooks
Module 6: Investigations, Reporting & Operations
- Case management workflows
- SAR/STR drafting and submissions
- Escalations and regulator liaison
- Cross-jurisdiction coordination
- QA, metrics, and continuous improvement
- Board reporting and assurance
Exam Domains:
- Crypto Regulatory Frameworks & Jurisdictional Analysis
- Blockchain Forensics & Attribution Techniques
- AI Model Lifecycle & Validation for Compliance
- Financial Crime Typologies in Digital Assets
- Cybersecurity Controls for Compliance Systems
- Governance, Ethics, and Accountability in AI
Course Delivery:
The course is delivered through lectures, interactive discussions, workshops, and project-based learning, facilitated by experts in Certified AI Crypto-Compliance Analyst (CAICCA). Participants gain access to online resources, readings, case studies, and guided exercises.
Assessment and Certification:
Participants are assessed through quizzes, assignments, and a capstone project. Upon successful completion, participants receive a certificate in Certified AI Crypto-Compliance Analyst (CAICCA).
Question Types:
- Multiple Choice Questions (MCQs)
- Scenario-based Questions
Passing Criteria:
To pass the Certified AI Crypto-Compliance Analyst (CAICCA) Certification Training exam, candidates must achieve a score of 70% or higher.
Enroll now. Build compliant, secure, and explainable AI for digital assets. Earn CAICCA by Tonex and lead with confidence.