AI+ Security PractitionerTM

A credential validating foundational knowledge of AI-driven cybersecurity concepts, threats, and controls for AI-enabled environments.

pa-ai-security-practitioner-badge

Empowering Cybersecurity with AI

  • Foundational AI Security Knowledge:
    Validates AI-driven cybersecurity concepts, threats, and controls for AI-enabled environments
  • Hands-On Capstone:
    Finish with an AI-driven security operations and defense project
  • Flexible Delivery:
    Instructor-led (5 days) or self-paced (40 hours), in English, Spanish, and Brazilian Portuguese

Prerequisites

  • Basic cybersecurity knowledge and security principles
  • Networking principles and communication protocols
  • Awareness of common cyber threats and vulnerabilities
  • Basic AI concepts and applications
  • Familiarity with basic security tools and techniques
  • Basic programming, security operations, data protection, and responsible AI knowledge

Why This Certification Matters?

  • Comprehensive Competency Assessment: Validates foundational knowledge of AI-powered cybersecurity concepts.
  • Practical Knowledge Assessment: Demonstrates foundational competency in security concepts and practices.
  • Current Industry Standards: Exam includes scenario-based questions reflecting real-world security situations.
  • Boost Strategic Decision Making: Validates readiness for entry-level to intermediate cybersecurity roles, with AI analytics.
  • AI-Driven Threat Detection: Validates essential knowledge and competency required for modern security teams.

What You'll Learn?

1.1 Computing Fundamentals
1.2 Linux Essentials
1.3 Access Control Concepts

2.1 Internet and Networking Basics
2.2 TCP/IP and Common Protocols
2.3 Network Security Concepts

3.1 Python Fundamentals
3.2 Python for Security
3.3 Security Data Analysis

4.1 Core Cybersecurity Concepts
4.2 Common Cyber Threats
4.3 Security Frameworks

5.1 Cryptography Basics
5.2 Authentication and Identity
5.3 Identity Security Risks

6.1 AI and ML Fundamentals
6.2 Core Machine Learning Concepts
6.3 AI in Cybersecurity

7.1 AI-Based Detection Concepts
7.2 Threat Hunting Concepts
7.3 AI in SOC Operations

8.1 LLM and Generative AI Basics
8.2 OWASP LLM Top 10
8.3 Responsible AI and Governance

9.1 AI Threat Modeling
9.2 AI System Attacks
9.3 AI Red Teaming Concepts

10.1 SOC and Incident Response Basics
10.2 Malware and Threat Analysis
10.3 AI-Assisted SOC Operations

11.1 Governance and Risk Management
11.2 Compliance and Privacy
11.3 Ethical and Responsible Security

12.1 Phase 1: Reconnaissance and Environmental Review
12.2 Phase 2: Detection and Threat Analysis
12.3 Phase 3: AI Security Assessment
12.4 Phase 4: Incident Response
12.5 Phase 5: Governance and Reporting

Job Roles & Industry Outlook

AI Security Analyst

Protects AI systems by identifying vulnerabilities, monitoring threats, and implementing security controls.

Cybersecurity Analyst

Monitors security events, analyzes threats, and safeguards enterprise and AI-powered environments.

SOC Analyst

Detects, investigates, and responds to incidents using SOC tools and AI-driven monitoring.

Threat Hunter

Proactively identifies advanced threats and uncovers hidden attacks through continuous hunting.

Security Engineer

Designs, implements, and maintains secure infrastructure, applications, and AI systems.

AI Risk Specialist

Assesses AI-related security risks, ensures regulatory compliance, and develops governance frameworks.

Incident Response Analyst

Investigates incidents, contains threats, and coordinates recovery to minimize business impact.

Skills You’ll Gain

AI Security and Secure AI DeploymentAI/ML-Based Threat Detection and AnalysisThreat Hunting and Incident ResponseSOC Operations and Security MonitoringPython-Based Security AutomationSecurity Data Analysis and Log InvestigationLLM Security and AI Threat ModelingVulnerability Assessment and AI Red TeamingIdentity Security and Access Control ManagementCryptography and Data Protection PracticesSecurity Governance, Compliance, and Responsible AI

Tools You’ll Master

pa-tl-035
pa-tl-026
pa-tl-081
pa-tl-179
pa-tl-177
pa-tl-168
pa-tl-017
pa-tl-173
pa-tl-002

Exam Details

Duration

90 minutes

Passing Score

70% (35/50)

Format

50 multiple-choice/multiple-response questions

Delivery Method

Online via proctored exam platform (flexible scheduling)

Exam Blueprint

Computing, Linux & Operating System Foundations
5%
Networking Fundamentals and Traffic Analysis
9%
Python for Security and Automation
9%
Cybersecurity Foundations and Threat Landscape
9%
Cryptography, Authentication & Identity Security
9%
Introduction to Artificial Intelligence and Machine Learning
9%
AI Applied to Security Detection and Threat Hunting
9%
AI Security, LLM Security and Responsible AI
9%
Offensive Security for AI Systems
8%
Security Operations, Incident Response and Malware Analysis
8%
Governance, Compliance and Ethical AI Security
8%
Capstone Project — AI-Driven Security Operations and Defense
8%

What’s Included

(One-Year Subscription + All Updates)

  • High-Quality Videos, E-book (PDF & Audio), and Podcasts 
  • AI Mentor for Personalized Guidance 
  • Quizzes, Assessments, and Course Resources 
  • Online Proctored Exam with One Free Retake 
  • Comprehensive Exam Study Guide 
  • Access for Tablet & Phone