AI+ Security Compliance™

Empowering Compliance Through AI

Certificate Code: AT-230

Duration: 40 hours (5 Days)

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Course Metrics Prerequisites Curriculum Outcomes Opportunities Salary Comparison FAQs Enroll

11+

Modules

40 hours (5 Days)

Duration

50 MCQs, 90 Minutes

Examination

70% (35/50)

Passing Score

About This Certification

The AI+ Security Compliance™ is an advanced course that merges the fundamental principles of cybersecurity compliance with the transformative power of artificial intelligence (AI). Building on the CISSP framework, this course focuses on how AI can enhance compliance processes, improve risk management, and ensure robust security measures in alignment with regulatory standards. This course introduces you to the core principles of cyber security compliances, while exploring the potential of AI to enhance your security posture. This course structure integrates comprehensive cybersecurity compliance principles with advanced AI applications, providing learners with the necessary skills to ensure compliance and enhance
security through AI technologies.

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.
There are no mandatory prerequisites for certification. Certification is based solely on performance in the examination. However, candidates may choose to prepare through self-study or optional training offered by AI CERTS Authorized Training Partners (ATPs).

Tools Covered

Secureframe

LeewayHertz

Securiti

Scytale

Course Curriculum

11 Modules 40 hours (5 Days)

Module 1: Introduction to Cybersecurity Compliance and AI

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

Module 2: Security and Risk Management with AI

2.1 Risk Management Frameworks
2.2 Conducting Risk Assessments
2.3 AI in Risk Assessment
2.4 Compliance and AI
2.5 Incident Response and AI

Module 3: Asset Security and AI for Compliance

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

Module 4: Security Architecture and Engineering with AI

4.1 Secure Design Principles
4.2 AI in Cryptography
4.3 AI in Vulnerability Assessment
4.4 Security Models and AI

Module 5: Communication and Network Security with AI

5.1 Network Security Fundamentals
5.2 AI in Network Monitoring
5.3 AI-driven Network Defense
5.4 Compliance in Network Security

Module 6: Identity and Access Management (IAM) with AI

6.1 IAM Fundamentals
6.2 AI in Identity Verification
6.3 Access Control and AI
6.4 Threats to IAM and AI Solutions

Module 7: Security Assessment and Incident Response with AI

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

Module 8: Security Operations with AI

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

Module 9: Software Development Security and Audit with AI

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

Module 10: Future Trends in AI and Cybersecurity Compliance

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

Optional Module: AI Agents for Security Compliance

1. What Are AI Agents
2. Key Capabilities of AI Agents in Cyber Security Compliance
3. Applications and Trends for AI Agents in Security Compliance
4. How Does an AI Agent Work
5. Core Characteristics of AI Agents
6. Types of AI Agents

Exam Blueprint

Introduction to Cybersecurity Compliance and AI -10%

Security and Risk Management with AI - 10%

Asset Security and AI for Compliance - 10%

Security Architecture and Engineering with AI - 10%

Communication and Network Security with AI - 10%

Identity and Access Management (IAM) with AI - 10%

Security Assessment and Incident Response with AI - 10%

Security Operations with AI - 10%

Software Development Security and Audit with AI - 10%

Future Trends in AI and Cybersecurity Compliance - 10%

Learning Outcomes

AI-Enhanced Compliance Management

Students will be able to integrate AI tools and techniques to streamline and automate compliance processes, ensuring adherence to international cybersecurity standards and regulations.

Risk Management with AI

Students will develop the ability to use AI for conducting comprehensive risk assessments, identifying potential vulnerabilities, and implementing proactive risk mitigation strategies.

AI-Driven Security Solutions

Students will gain hands-on experience with AI applications in security, learning how to implement AI-powered tools for incident response, threat detection, and asset security.

Understanding of Future AI Trends in Cybersecurity

Students will be equipped with knowledge of emerging AI technologies, such as quantum computing, and their implications for cybersecurity, allowing them to stay ahead of evolving threats and innovations.

Career Opportunities

AI Compliance Specialist

Focuses on implementing AI-driven tools to ensure organizational compliance with cybersecurity regulations and standards.

Cybersecurity Risk Analyst (AI)

Uses AI-based solutions to assess and mitigate cybersecurity risks, ensuring proactive threat detection and management.

AI Security Operations Manager

Manages security operations using AI technologies, overseeing incident response, network security, and continuous monitoring for potential threats.

AI Cybersecurity Engineer

Designs and implements AI-powered security solutions, including automated threat detection, response systems, and data protection mechanisms.

Salary Potential

Without AI Skills

$1,30,000

With AI Skills

$1,60,000

23% Higher Earning Potential

Frequently Asked Questions

What is the AI+ Security Compliance™ course about?

This course focuses on how to ensure that AI systems comply with security standards and regulations across industries.

Who should enroll in this course?

Ideal for security professionals, compliance officers, and AI developers working on security-critical AI projects.

What will I learn in this course?

The course covers compliance frameworks, regulatory requirements for AI systems, and secure AI deployment strategies.

What are the key compliance standards taught in the course?

You will learn about GDPR, HIPAA, and NIST compliance for AI systems, among others.

How is the AI+ Security Compliance™ certification valued in the industry?

This certification demonstrates that you can ensure AI systems comply with industry and regulatory security standards, enhancing your career in both AI and cybersecurity sectors.

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