Artificial intelligence (AI) is changing the way cybersecurity professionals work and ISC2 training is evolving right alongside it. According to the latest ISC2 Research, human oversight is becoming even more essential in AI-enabled workplaces. Cybersecurity teams are spending more time reviewing AI-generated outputs, validating results and deciding when AI recommendations can be trusted. The research also points to a shift in entry-level roles, with more than half seeing AI as a source of new career opportunities and fresh pathways into the profession.
That’s why practical AI education matters now. As organizations move faster with AI, cybersecurity practitioners need to know how to use these tools well, understand where they fall short and make smart, informed decisions. ISC2’s newest AI Express Courses are designed for that reality: short, on-demand learning experiences built for busy professionals who want cutting-edge knowledge they can actually use. Complete them anytime, anywhere, build skills through interactive scenarios and stay current without overcommitting your schedule. Each course is just $40 ($32 for ISC2 members) and members can earn 1 CPE credit per course.
AI Security Framework Adoption & Alignment
Organizations often struggle to align AI security frameworks, regulations and contractual obligations. In this scenario-based course, learners explore how governance decisions shape AI risk and learn practical methods for translating overlapping requirements into unified policies and controls.
- Evaluate AI governance and compliance requirements across frameworks and regulations
- Select framework adoption strategies based on organizational needs and risk
- Align overlapping requirements into practical policies and controls
- Apply governance principles to support secure, ethical AI adoption
AI Data Classification and Governance
Shadow AI can introduce significant data, compliance and governance risks without organizations realizing it. Through a realistic case study, learners will understand how to identify AI-enabled systems, assess associated risks and determine appropriate governance and risk treatment actions.
- Build AI asset inventories to improve visibility into AI-enabled systems
- Classify and prioritize AI risk based on data sensitivity and business impact
- Assess control effectiveness using established security frameworks
- Recommend and communicate risk treatment actions to stakeholders
AI Threat-to-Requirement Mapping
Vibe coding and other AI-assisted development practices can introduce security risks that emerge through everyday work. In this scenario-based course, learners identify gaps in visibility, accountability and governance, then translate those risks into actionable security requirements and controls.
- Convert AI-related risks into clear, testable security requirements
- Identify where risk appears across the software development lifecycle
- Evaluate trade-offs between speed, control and assurance
- Establish governance and review practices for AI-assisted development
Secure Software Architecture with AI
AI tools can help analyze architectural options, but effective decisions still require human judgment. In this scenario-based course, learners evaluate architecture choices for AI-enabled systems while balancing security, governance, compliance and business objectives.
- Evaluate data architecture decisions with security and compliance in mind
- Integrate human oversight into AI-driven systems
- Design audit and transparency mechanisms that support accountability
- Apply governance and risk considerations to architectural decisions
Whether you are just starting to explore AI or looking to sharpen your team’s approach, ISC2 offers practical ways to keep learning. Along with AI Express Courses, professionals can build readiness through additional ISC2 Certificates and Courses, including express tabletop exercises that support your decision-making skills in a safe environment, strengthen response strategies and turn emerging AI challenges into real-world practice.
