Product Details
Whether you’re looking to stay ahead of the curve with professional development or build your knowledge of AI strategies, this Building AI Strategy Certificate will elevate your expertise. It is comprised of six courses:
AI for Cybersecurity
Develop a foundational understanding of cybersecurity applications of AI by exploring the evolving implications of both traditional and AI-specific security approaches for AI attacks, mitigation and threat tools.
AI Security: Managing Overconfidence
Discover effective integration of artificial intelligence into security operations while maintaining critical human oversight.
Aligning with Global AI Regulations
Review the complexities of aligning AI security frameworks with broader security principles, comparing specific security frameworks and standards related to AI and the principles that underpin secure AI practices.
Foundations of AI
Define and articulate a comprehensive definition of AI, become familiar with AI terminologies and technologies, and understand the applications and implementation impacts of AI.
Planning for Secure by Design AI
Develop a strategy-focused perspective on secure AI implementation and the complexities of integrating traditional cybersecurity principles with AI governance frameworks, ensuring robust security throughout the AI lifecycle.
The Evolving Cybersecurity Workforce
Explore leadership considerations and strategies for adapting to the growing influence of artificial intelligence on the cybersecurity workforce.
Complete all six courses and assessments to earn the Building AI Strategy Certificate and a Credly digital badge to display on social media and your resume/CV to demonstrate the skills you’ve acquired.
Who Will Benefit
This certificate is designed for cybersecurity professionals who are interested in exploring the intersection of artificial intelligence and cybersecurity. Ideal for those looking to deepen their understanding of AI technologies, their ethical and operational implications, and their alignment with security standards, frameworks and organizational practices. Familiarity with cybersecurity principles, roles, frameworks and best practices recommended but not required.
Key Topics
- Artificial intelligence and machine learning
- Threats and mitigation
- Program management
- Organizational alignment
- GRC
Learning Outcomes
- Recognize the types of AI attacks and describe basic AI mitigations strategies
- Identify and address AI blind spots and limitations
- Identify weaknesses in AI security tools using a data-driven approach
- Discover strategies to balance AI tools with human decision-making to build stronger security programs by combining AI and human expertise
- Understand how AI security frameworks align with broader security principles
- Compare specific security frameworks and standards related to AI
- Identify key principles and guidelines that underpin AI security
- Explore the implications of AI security principles on the development and deployment of AI systems
- Explain the impact of AI on cybersecurity jobs
- Describe the strategies for workforce adaptation and training
- Assess security considerations for employees using AI (LLMs) for work productivity
- Ensure compliance with privacy regulations in AI implementations
- Classify various AI terminologies, technologies and appropriate subtypes
- Correlate traditional cybersecurity principles with AI governance frameworks, focusing on compliance, risk management and security policies
- Identify the relevance of AI to various organizational roles, including business leadership, C-suite executives, senior management, operational personnel, developers, DevOps teams and security professionals
- Apply security principles and activities throughout the AI lifecycle, from data collection to deployment and continuous evaluation
- Determine your organization’s use of AI for enhancing security measures
- Integrate ethical considerations into AI practices, ensuring responsible and fair AI usage
- Evaluate your organization’s AI maturity level to understand current capabilities and areas for improvement
Benefits
- Develop foundational AI literacy
- Strengthen AI-driven security strategies
- Align with global standards and regulations
- Build secure and ethical AI systems
- Prepare the cybersecurity workforce for AI integration
- Balance automation with human decision-making
- Earn a digital Credly badge for your resume/CV and share with your professional network
- Earn CPE credits
Program Completion
Learners have 60 days from the date of purchase to complete the entire certificate. Those who successfully complete this program will earn a Credly digital badge to showcase their skills on social, a validation of completion for each course and earn continuing professional education (CPE) credits. We recommend that you download and retain the Validation of Completions for your personal records.
To receive a Validation of Completion and earn CPE credits for each Course, learners must:
- Complete the learning experience
- Pass the assessment
- Complete the learning experience evaluation
Courses include the following:
- AI for Cybersecurity
- AI Security: Managing Overconfidence
- Aligning with Global AI Regulations
- Foundations of AI
- Planning for Secure by Design AI
- The Evolving Cybersecurity Workforce
Credit for individual course purchases may be applied to the certificate program.
Credit Info
| CPE Credits |
Group A |
16 |
| Field of Study |
Software Security, Cybersecurity Leadership |
|
| Level |
Foundational, Intermediate, Advanced |
|
| Prerequisites |
No specific prerequisite knowledge is required, however familiarity with cybersecurity principles, roles, and best practices will enhance the learning experience. |
|
| Access |
Online |
This is a digital product. With full paid access, the content will be available up to 60 days after purchase date. |
| Digital Badge |
Upon completing this certificate, you will receive a digital badge that may be shared with your professional network. |
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For more information, please refer to the ISC2 Certification Maintenance Handbook for additional CPE requirement details.
CPE Credit Reporting
CPE credits earned from this learning experience will automatically be reported for ISC2 credentials on the first day of every month. Please allow up to 10 business days for processing.
CPE credits earned for this learning experience may also be eligible for continuing professional education credits for non-ISC2 certifications. Please visit the continuing education requirements established by the credentialing organization for eligibility.
For questions related to ISC2 CPE credits or the CPE portal not covered in the handbook, please contact us via our online form.
