Mile2 C)AICSO — AI Cybersecurity Officer (Self-Study)

Lead the Secure Integration of Artificial Intelligence

The C)AICSO™ – Certified AI Cybersecurity Officer is the leading certification for professionals who need to govern, secure, and audit artificial intelligence systems in real-world organizations. As AI becomes embedded in every sector — from healthcare and finance to critical infrastructure — the need for leaders who can manage its risks has never been greater.

Unlike traditional cybersecurity programs focused solely on defense, the C)AICSO prepares decision-makers to turn AI from a potential threat into a trusted, strategic enabler. You will learn to design secure AI ecosystems, lead governance initiatives, and align innovation with accountability.

This course introduces Mile2’s exclusive Progressive AI Risk Management Framework — a structured approach to anticipating and mitigating emerging AI risks, built for managers and leaders, not just coders.

What You Will Learn

20 modules across 5 core pillars:

Part I — AI Foundations & Governance

• What AI, ML, DL, LLMs, and Generative AI actually are
• AI business applications across sectors (healthcare, finance, critical infrastructure)
• AI system architecture: data pipelines, training vs inference, cloud vs edge
• The EU AI Act, NIST AI RMF, ISO/IEC 42001, OECD principles

Part II — AI-Specific Threats & Risks

• Prompt injection, jailbreaks, adversarial inputs, model inversion, data poisoning
• Infrastructure and model supply chain risks, API abuse, plugin vulnerabilities
• Securing GenAI systems: OWASP Top 10 for LLMs, MITRE ATLAS
• Advanced threats: GPU hijacking, synthetic identity, deepfakes, autonomous offensive AI

Part III — Defense & Risk Management

• Secure AI-by-Design principles: data minimization, federated learning, TEEs
• NIST AI RMF deep dive and ISO/IEC 42001 implementation
• Zero Trust architectures for GenAI systems
• Cloud-native AI security: AWS Bedrock, Azure OpenAI, Google Vertex AI

Part IV — Governance, Incident Response & Resilience

• AI governance in complex organizations (CISO/CIO/CTO responsibilities)
• AI red teaming methodologies and bias/fairness audits
• AI-centric incident response playbooks (prompt injection, GenAI abuse)
• Futureproofing: adaptive threats, rogue agents, post-AI-compromise resilience

Part V — Practicals, Strategy & Action

• Policy-only attack simulation scenarios
• Writing a safe AI policy from scratch
• Board-level AI policy templates
• AI security maturity models and 18–24 month roadmap

Course Details

• Format: Self-Study (also available: Instructor Led, Live Virtual)
• Duration: 5 Days (equivalent)
• CEUs: 40
• Language: English
• Prerequisites: Mile2 C)SP or C)ISSM, or 12 months IS Management experience
• Exam: 100 questions, 2 hours, 70% pass mark
• Certification validity: 3 years

What You Will Be Able to Do After Completion

• Build a comprehensive framework for assessing and mitigating AI security risks
• Red team and incident-plan for LLM and GenAI systems
• Apply NIST and ISO frameworks to real AI workflows
• Securely integrate GenAI into enterprise environments
• Design governance blueprints for multi-stakeholder coordination

Who Should Attend

IS Security Officers, IS Managers, Risk Managers, Auditors, Info Systems Owners, IS Control Assessors, System Managers, AI Governance Officers, Security Architects.