Advanced Certificate in Threat Hunting & Response with AI

• Advanced AI for Threat Hunting & Response: An in-depth exploration of artificial intelligence technologies and techniques, with a focus on their application in threat hunting and incident response. This unit will cover primary keywords such as machine learning, natural language processing, and intelligent automation.
• Advanced Network Traffic Analysis: This unit will delve into advanced techniques for network traffic analysis, focusing on the use of AI and machine learning algorithms to detect anomalies, identify threats, and respond to incidents. Students will learn about secondary keywords such as network forensics, behavioral analysis, and real-time threat detection.
• Threat Intelligence & Hunting: Students will learn how to gather, analyze, and use threat intelligence to proactively hunt for and identify advanced threats. This unit will cover primary keywords such as cyber threat intelligence, threat hunting frameworks, and threat actor profiling. Secondary keywords may include open-source intelligence, malware analysis, and threat data taxonomies.
• AI-Powered Incident Response: This unit will explore the use of AI and machine learning in incident response, including automated threat detection, intelligent response orchestration, and real-time threat mitigation. Students will learn about primary keywords such as security automation, incident response playbooks, and machine-assisted decision making.
• AI Ethics & Privacy in Cybersecurity: This unit will examine the ethical and privacy considerations associated with the use of AI in cybersecurity, including issues related to bias, fairness, transparency, and accountability. Students will learn about primary keywords such as ethical AI, privacy-preserving AI, and responsible AI.
• AI-Powered Threat Modeling: This unit will explore the use of AI and machine learning in threat modeling, including the identification of attack surfaces, the analysis of potential threats, and the development of mitigation strategies. Students will learn about primary keywords such as threat modeling frameworks, risk assessment, and security design patterns.
• AI-Powered Endpoint Security: This unit will examine the use of AI and machine learning in endpoint security, including the detection and prevention of malware, the analysis of endpoint behavior, and the response to security incidents. Students will learn about primary keywords such as endpoint protection platforms, advanced threat protection, and machine learning-based malware