x

AI+ Security Practitioner™

AI+ Security Practitioner™

This certification validates foundational knowledge of AI-driven cybersecurity concepts and assesses understanding of security principles, threats, and controls. The exam evaluates competency in applying core cybersecurity knowledge within AI-enabled environments.

AVALIABLE AT COMPUNET LIMITED Enroll Now Enroll Now

Certificate Code

AT-2101

Exam Format

AI-Driven Remote Exam Proctoring

Course Overview

Important details and certification information

Instructor-led OR Self-paced course + Official exam + Digital badge
Instructor-Led: 3 Days (live or virtual)
Basic AI, cybersecurity, networking, security operations, data protection, programming, and responsible AI knowledge.
50 questions, 70% passing, 90 minutes, online proctored exam

Certification Modules

  1. 1.1 Computing Fundamentals
  2. 1.2 Linux Essentials
  3. 1.3 Access Control Concepts

  1. 2.1 Internet and Networking Basics
  2. 2.2 TCP/IP and Common Protocols
  3. 2.3 Network Security Concepts

  1. 3.1 Python Fundamentals
  2. 3.2 Python for Security
  3. 3.3 Security Data Analysis

  1. 4.1 Core Cybersecurity Concepts
  2. 4.2 Common Cyber Threats
  3. 4.3 Security Frameworks

  1. 5.1 Cryptography Basics
  2. 5.2 Authentication and Identity
  3. 5.3 Identity Security Risks

  1. 6.1 AI and ML Fundamentals
  2. 6.2 Core Machine Learning Concepts
  3. 6.3 AI in Cybersecurity

  1. 7.1 AI-Based Detection Concepts
  2. 7.2 Threat Hunting Concepts
  3. 7.3 AI in SOC Operations

  1. 8.1 LLM and Generative AI Basics
  2. 8.2 OWASP LLM Top 10
  3. 8.3 Responsible AI and Governance

  1. 9.1 AI Threat Modeling
  2. 9.2 AI System Attacks
  3. 9.3 AI Red Teaming Concepts

  1. 10.1 SOC and Incident Response Basics
  2. 10.2 Malware and Threat Analysis
  3. 10.3 AI-Assisted SOC Operations

  1. 11.1 Governance and Risk Management
  2. 11.2 Compliance and Privacy
  3. 11.3 Ethical and Responsible Security

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

  1. 1.1 What Are AI Agents?
  2. 1.2 Key Capabilities of AI Agents in Cyber Security
  3. 1.3 Applications and Trends for AI Agents in Cyber Security
  4. 1.4 How Does an AI Agent Work?
  5. 1.5 Core Characteristics of AI Agents
  6. 1.6 Types of AI Agents

AI Tools Covered

Scikit-learn
TensorFlow
PyTorch
Kali Linux
Wireshark
Nmap
Wazuh
Splunk
OWASP ZAP
Enroll Now Enroll Now