Learning Paths for Technical Professionals

AI for Cybersecurity Professionals

This starter learning path equips cybersecurity professionals with foundational and advanced knowledge to leverage generative AI for security, covering GenAI risks, NIST AI Risk Management Framework, AI-driven threat detection, social engineering, malware detection, and secure deployment practices. Learners gain hands-on experience with tools like ChatGPT, Microsoft Security Copilot, and Defender for Cloud, while exploring AI vulnerabilities, threat modeling, and regulatory compliance.

Skills:

AI risk assessment and mitigation

NIST AI RMF implementation

AI-driven threat detection

Malware and anomaly detection using ML

Social engineering defense with GenAI

Threat modeling for GenAI

Secure deployment of AI systems

Regulatory compliance for AI security

Hands-on experience with Microsoft Security Copilot and Defender for Cloud

Learning objectives:

  • Identify and assess cybersecurity risks associated with generative AI, including data poisoning, prompt injection, and model bias.
  • Apply the NIST AI Risk Management Framework to implement trustworthy and secure AI systems in organizational environments.
  • Utilize AI and machine learning techniques for network anomaly detection, malware identification, and social engineering defense.
  • Deploy and manage AI-powered security tools such as Microsoft Security Copilot and Defender for Cloud to enhance threat detection and response.
  • Develop and implement threat modeling strategies for GenAI applications, ensuring compliance with regulatory and ethical standards.

Target audience:

This path is designed for cybersecurity professionals, SOC analysts, and IT security managers seeking to integrate generative AI into their security operations. It is also suitable for technical leaders and compliance officers aiming to understand AI risks and mitigation strategies within enterprise environments.

Make AI your ally with an AI Starter Path