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CAICSO - Certified AI Cybersecurity Officer - 2026
19 students
CAICSO - Certified AI Cybersecurity Officer - 2026
Master AI governance, risk, and security frameworks to protect your organization and lead AI resilience initiatives.
Created byMile2® Cyber Security Certifications
Last updated 1/2026
English
What you'll learn
- Develop a comprehensive framework for assessing and mitigating AI security risks across enterprise environments.
- Apply NIST AI RMF and ISO/IEC 42001 standards to real-world AI workflows.
- Design and implement secure GenAI and LLM systems using AI-by-Design principles.
- Conduct red teaming and incident response planning for AI and GenAI systems.
- Build and lead AI governance programs that ensure compliance, transparency, and resilience.
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Course content
20 sections • 20 lectures • 9h 23m total length
Requirements
- Completion of Mile2’s C)SP or C)ISSM certification, or equivalent knowledge.
- Minimum of 12 months of Information Systems Management experience is recommended.
- Familiarity with cybersecurity fundamentals and risk management concepts is helpful but not required.
Description
This course contains the use of artificial intelligence.
Secure the Future of Artificial Intelligence
If you're looking for the leading course in AI and cybersecurity governance, the C)AICSO™ – Certified AI Cybersecurity Officer is the definitive choice. This program empowers professionals to take personal and organizational responsibility for both the implementation and protection of AI systems across industries.
Unlike traditional cybersecurity programs that focus solely on defense, the C)AICSO™ prepares leaders to build resilience with AI—turning artificial intelligence from a potential threat into a trusted, strategic enabler. Participants learn to design and oversee secure, ethical, and auditable AI ecosystems while leading governance initiatives that align innovation with accountability.
The course introduces Mile2’s Progressive AI Risk Management Framework, which equips decision-makers with tools and methodologies to anticipate and mitigate emerging AI risks. Core areas include:
Policy-First Security Design — Treating GenAI as a potential insider threat vector.
Adversarial Use Case Mapping — Drawing from MITRE ATLAS and the OWASP LLM Top 10 to identify exploitation patterns.
Quarterly Risk Reviews — Structured leadership questions to evaluate AI controls and performance.
Red Teaming & Simulation Exercises — Strategic exercises tailored for managers, not coders.
By the end of this course, participants will understand how to govern, defend, and audit AI responsibly, enabling innovation while maintaining compliance, resilience, and public trust.
Who this course is for:
- IS Security Officers
- IS Managers
- Risk Managers
- Auditors
- Information Systems Owners
- IS Control Assessors
- System Managers
- AI Governance Officers
- Security Architects