AKYLADE AI Security Foundation (A/AISF)
Advance your expertise in AI security with the AKYLADE AI Security Foundation (A/AISF) certification and lead your organization in implementing secure and trustworthy artificial intelligence solutions
About the Exam
The AKYLADE AI Security Foundation (A/AISF) certification exam is designed to evaluate your ability to understand and apply essential artificial intelligence (AI) security concepts including:
- Artificial Intelligence Concepts
Gain a solid understanding of core AI technologies, including machine learning and deep learning. Learn how these systems are structured and managed across their lifecycle to ensure security and functionality, exploring various learning types, algorithms, and data enhancement methods
- AI Risk Management
Learn how to identify, assess, and mitigate risks within AI systems. Master frameworks like NIST AI RMF and tools for conducting risk assessments, focusing on vulnerabilities, threat analysis, and control implementation
- AI Risks and Trustworthiness
Understand how to build trustworthy AI systems by focusing on security, fairness, transparency, and privacy. Learn to mitigate risks like bias and vulnerabilities while ensuring compliance with ethical standards
- NIST AI RMF Core
Apply the NIST AI Risk Management Framework to manage AI risks effectively while aligning practices with business goals. Learn to integrate risk management into organizational processes and governance
- NIST AI RMF Profiles
Customize AI RMF Profiles to meet organizational needs, ensuring that AI security practices align with compliance requirements and business objectives
Test Your Knowledge!
AKYLADE Artificial Intelligence Security Fundamentals (AIF-001) - mini quiz!
This mini quiz contains 10 questions and has a time limit of 10 minutes.
Ready to challenge your Artificial Intelligence Security Fundamentals knowledge?
What Skills Will You Learn?
Fundamental AI Security Knowledge
Develop an in-depth understanding of AI, machine learning, and deep learning, and learn to apply these concepts to secure AI systems effectively
Risk Management for AI Systems
Gain proficiency in identifying, assessing, and managing risks within AI systems by applying industry frameworks and best practices
Trustworthiness in AI
Acquire the skills to ensure AI systems remain trustworthy by focusing on security, fairness, and transparency, and by mitigating ethical and operational risks
Understanding the NIST AI RMF
Master the NIST AI Risk Management Framework, learning how to use it to assess and manage AI risks while aligning with organizational policies
AI Lifecycle Security Management
Learn how to manage AI system security throughout their entire lifecycle, from development and deployment to monitoring and continuous improvement
Tailoring AI RMF Profiles
Develop the ability to customize AI RMF Profiles for your organization, aligning AI security measures with specific compliance requirements and risk priorities
Enhance Your Certification Journey
Prepare effectively for your certification exam with our comprehensive resources:
Practice Exams: Help you prepare for the certification exam. It is a great way to test your knowledge and get a feel for the official exam format.
Exam Objectives: Understand the key areas you need to master for certification success.
A/AISF Certification Domains
→Domain 1: Artificial Intelligence Concepts
Understand the key AI concepts, including machine learning, deep learning, and AI model development, and how these systems are secured throughout their lifecycle
→Domain 2: AI Risk Management
Learn how to assess and manage AI-specific risks, including threats to data, model integrity, and infrastructure, while aligning with best practices and regulatory requirements
→Domain 3: AI Risks and Trustworthiness
Understand the characteristics that ensure AI systems are trustworthy, and learn how to mitigate risks such as bias, security vulnerabilities, and privacy concerns
→Domain 4: NIST AI RMF Core
Apply the NIST AI Risk Management Framework to manage AI risks effectively while aligning security practices with business objectives and system trustworthiness
→Domain 5: NIST AI RMF Profiles
Learn how to create and implement AI RMF Profiles to manage risks efficiently and ensure that AI systems meet regulatory, business, and security standards
Continuing Education Requirements
AKYLADE's Continuing Education Program ensures that certified professionals remain up-to-date and current with the changing world of cybersecurity. All AKYLADE certifications must be renewed every 36 months to remain current.
Renewal Options:
- Pass the A/AISP exam to automatically renew your A/AISF for another 3 years
- Complete 30 hours of continuing education to renew your certification
- Retake the current version of the A/AISF certification exam
Renew every 36 months to maintain your certification