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This course is designed for security professionals, AI engineers, and cybersecurity leaders looking to safeguard AI applications, models, and data infrastructure.

Prerequisites

  • Basic understanding of cybersecurity principles.
  • Knowledge of networking fundamentals
  • Familiarity with programming concepts and languages (Python recommended)
  • An introductory course on AI or machine learning is beneficial but not required.

 
Recertification Requirements
    To maintain the validity of your certification, The Whiteboard, in affiliation with AI CERTs, requires annual recertification. A notification will be sent three months before the due date, guiding candidates through the process outlined in the candidate handbook. Need Assistance? For any questions or support regarding recertification, please contact The Whiteboard's team at info@thewhiteboard.co.in.

Course Modules and Curriculum

  • 1.1 Overview of Cybersecurity Compliance
  • 1.2 International Compliance Standards
  • 1.3 Developing Compliance Programs
  • 1.4 Implementing Compliance Programs
  • 1.5 AI in Cybersecurity Compliance
  • 1.6 Case Studies and Applications
  • 2.1 Risk Management Frameworks
  • 2.2 Conducting Risk Assessments
  • 2.3 AI in Risk Assessment
  • 2.4 Compliance and AI
  • 2.4 Incident Response and AI
  • 3.1 Data Classification and Protection
  • 3.2 AI in Privacy Protection
  • 3.3 Asset Management with AI
  • 3.4 Case Studies and Best Practices
  • 4.1 Secure Design Principles
  • 4.2 AI in Cryptography
  • 4.3 AI in Vulnerability Assessment
  • 4.4 Security Models and AI
  • 5.1 Network Security Fundamentals
  • 5.2 AI in Network Monitoring
  • 5.3 AI-driven Network Defense
  • 5.4 Compliance in Network Security
  • 6.1 IAM Fundamentals
  • 6.2 AI in Identity Verification
  • 6.3 Access Control and AI
  • 6.4 Threats to IAM and AI Solutions
  • 7.1 Security Testing Techniques
  • 7.2 AI in Security Testing
  • 7.3 Continuous Monitoring and AI
  • 7.4 Incident Response Planning
  • 7.5 Managing Cybersecurity Incidents
  • 7.6 Legal and Regulatory Considerations
  • 8.1 Security Operations Center (SOC)
  • 8.2 Data Classification and Protection
  • 8.3 Privacy Compliance
  • 8.4 Disaster Recovery and AI
  • 8.5 AI in Security Orchestration
  • 9.1 Secure Software Development Life Cycle (SDLC)
  • 9.2 AI in Application Security Testing
  • 9.3 AI in Secure DevOps
  • 9.4 Threat Modeling and AI
  • 9.5 Internal and External Audits
  • 9.6 Continuous Monitoring
  • 10.1 Emerging AI Technologies
  • 10.2 AI in Cyber Threat Intelligence
  • 10.3 Quantum Computing and AI
  • 10.4 Ethical Considerations and AI Governance
  • 10.5 Practical Applications

Tools

Secureframe

Secureframe

LeewayHertz

LeewayHertz

Securiti

Securiti

Scytale

Scytale

Who Should Enroll?

This certification is ideal for:

  • Compliance & Risk Management Officers
    - Ensure AI systems align with global security regulations.
  • Cybersecurity Professionals
    - Learn AI security compliance best practices to prevent regulatory breaches.
  • AI Developers & Data Scientists
    - Implement secure AI governance frameworks within AI projects.
  • Business & IT Leaders
    - Understand the role of AI compliance in business operations and strategy.
Key Learning Outcomes
  • Understand the legal and ethical responsibilities associated with AI security.
  • Learn to assess AI risks and ensure compliance with data protection laws.
  • Develop AI security policies that align with industry and government standards.
  • Implement AI transparency, accountability, and ethical governance frameworks.

Enroll Now

Take the first step towards becoming an AI expert.
Enroll in our AI Security Compliance Course today and unlock the potential of coding to drive your career forward.

Exam Objectives

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AI-Driven Compliance Management

Learn to automate and streamline compliance processes using AI while ensuring adherence to cybersecurity regulations.

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AI-Powered Risk Management

Develop skills to assess risks, detect vulnerabilities, and implement proactive mitigation strategies with AI.

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AI-Based Security Solutions

Gain hands-on experience in using AI tools for incident response, threat detection, and asset protection.

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Emerging AI Trends in Cybersecurity

Understand future advancements like quantum computing and their impact on cybersecurity.

Career Opportunities Post-Certification

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Median Salaries

$130,000

AI Salary Icon

With AI Skills

$160,000

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% Difference

23

Join AI Course & Become Future-Ready!

Stay ahead in the AI-driven world. Enroll now to gain in-demand skills, hands-on experience, and industry-recognized certification for a future-ready career.

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Frequently Asked Questions

AI security compliance involves ensuring that AI systems adhere to legal, ethical, and regulatory standards related to data security, privacy, and governance. It helps organizations mitigate risks, protect sensitive data, and avoid regulatory penalties.

This course is designed for compliance professionals, cybersecurity experts, AI developers, risk managers, and business leaders who need to understand AI governance, security policies, and regulatory compliance requirements.

No, this certification is designed for professionals from technical, business, and compliance backgrounds. It provides practical insights into AI security regulations and risk management without requiring a legal degree.

This is a self-paced course, typically completed within 4-6 weeks, depending on your schedule.

Yes, the AI Security Compliance Certification is aligned with industry best practices and regulatory frameworks, making it highly valuable for professionals working in AI governance, cybersecurity, risk management, and compliance.