AI+ Security Expert™

Formerly known as AI+ Security Level 2™

Protect and Secure: Leverage Intelligent AI Solutions

This certification validates intermediate-level knowledge of AI-driven cybersecurity concepts and assesses competency in applying security controls, risk management practices, and AI-enabled threat detection techniques. The exam evaluates understanding of advanced security principles within AI-augmented environments.

Módulos

  • Module 1: Introduction to AI and Cybersecurity :
    1. You will learn AI and cybersecurity fundamentals, AI-driven threat detection, vulnerability management, ethical considerations, regulatory requirements, and resilient security strategies. 
  • Module 2: Python Programming for AI and Cybersecurity Professionals :
    1. You will learn Python programming for security automation, data analysis, AI scripting, visualization, and developing cybersecurity tools. 
  • Module 3: Applications of Machine Learning in Cybersecurity :
    1. You will explore ML-based anomaly detection, behavior analysis, predictive threat identification, data protection, and advanced cybersecurity applications. 
  • Module 4: Detection of Email Threats with AI :
    1. You will learn AI-powered email security, phishing detection, deep learning models, automation techniques, and email threat response solutions. 
  • Module 5: AI Algorithm for Malware Threat Detection :
    1. You will learn AI-based malware detection, neural networks, model development, real-time mitigation, and malware analysis techniques. 
  • Module 6: AI Infrastructure and Deployment:
    1. You will explore AI-based network anomaly detection, model implementation, deployment strategies, and challenges in handling advanced threats. 
  • Module 7: User Authentication Security with AI:
    1. You will learn AI-driven authentication, biometric recognition, behavioral analysis, adaptive security controls, and emerging authentication trends. 
  • Module 8: GAN for Cyber Security :
    1. You will explore GAN applications in cybersecurity, including threat simulation, synthetic attack generation, vulnerability detection, and defense improvement. 
  • Module 9: Penetration Testing with Artificial Intelligence :
    1. You will learn AI-enhanced penetration testing, cyberattack simulation, automated vulnerability identification, and improved security assessment techniques. 
  • Module 10: Capstone Project :
    1. You will apply AI cybersecurity concepts through real-world projects involving anomaly detection, email security, IoT protection, behavioral biometrics, and threat intelligence. 

Herramientas de IA

  • CrowdStrike Falcon
  • Darktrace Enterprise
  • Vectra Cognito
  • SentinelOne Singularity
  • Cylance PROTECT
  • IBM QRadar Advisor with Watson
  • Exabeam Advanced Analytics
  • Rapid7 InsightIDR
  • Cynet 360
  • Fortinet FortiAI
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