AI-Powered Cybersecurity: Threat Detection and Response

Leverage AI for smarter, faster cybersecurity: Enhance threat detection, automate response, and manage risk effectively.

Course Description:

In today's rapidly evolving threat landscape, traditional cybersecurity measures are no longer sufficient. This intensive 2-day course empowers leaders and managers to understand the transformative power of Artificial Intelligence (AI) in building a more resilient security posture. Explore how AI enhances threat detection, moving beyond signatures to identify novel attacks, insider risks, and sophisticated malware through anomaly detection and behavioral analytics (UEBA).

Learn how AI integrates into core security operations (SIEM, EDR, XDR) to improve efficiency and accelerate response times. We delve into AI-driven incident response, proactive defense strategies like vulnerability prioritization, and crucial ethical considerations. Equip yourself with the foundational knowledge needed to make informed decisions and lead your organization effectively in the age of AI-powered cybersecurity.

Who Should Attend:

• Chief Information Officer (CIO) / Chief Technology Officer (CTO)
• Head of Cybersecurity
• IT Manager
• Operations Manager
• Risk Management Lead / Compliance Manager
• Executives involved in strategic technology decisions (CEO, COO)

Course Objectives:

Knowledge Acquisition:

• Understand the modern cyber threat landscape and why traditional security methods are insufficient.  
• Grasp the essential concepts of AI and Machine Learning (supervised, unsupervised, deep learning) relevant to cybersecurity.  
• Recognize the critical role of data quality and management in the effectiveness of AI security systems.  
• Identify key ethical considerations in AI cybersecurity, including bias, transparency, privacy, and accountability.  
• Understand the purpose and core functions (Govern, Map, Measure, Manage) of AI risk management frameworks like NIST AI RMF.  
• Become aware of emerging trends like adversarial AI and the ongoing AI arms race in cybersecurity.

Skills Development:

• Identify how AI enhances threat detection through anomaly detection, UEBA, malware analysis, and improved IDS/NDR.
• Recognize the integration and benefits of AI within core security tools like SIEM, EDR, NDR, and the concept of XDR.
• Understand the capabilities and implications (pros/cons) of AI-driven automated incident response (AIR).
• Appreciate how AI augments proactive defense strategies like threat hunting and risk-based vulnerability prioritization.
• Evaluate the necessity of human expertise and oversight in collaboration with AI security systems.

Practical Application:

• Assess how AI can improve the efficiency and effectiveness of Security Operations Center (SOC) functions.  
• Apply the concept of AI-driven, risk-based vulnerability prioritization to focus security resources effectively.  
• Recognize practical considerations for integrating AI tools within existing security infrastructure and workflows.  
• Understand the need for continuous monitoring, management, and retraining of AI security models.  
• Appreciate how to use frameworks like NIST AI RMF for structured AI risk governance.  
• Evaluate the appropriate balance between AI automation and human judgment in incident response scenarios.

What will I Learn From it:

• Assess how AI can improve the efficiency and effectiveness of Security Operations Center (SOC) functions.  
• Apply the concept of AI-driven, risk-based vulnerability prioritization to focus security resources effectively.  
• Recognize practical considerations for integrating AI tools within existing security infrastructure and workflows.  
• Understand the need for continuous monitoring, management, and retraining of AI security models.  
• Appreciate how to use frameworks like NIST AI RMF for structured AI risk governance.  
• Evaluate the appropriate balance between AI automation and human judgment in incident response scenarios.

Training Methodology

• Expert-led sessions with real-world case studies
• Guided breakout groups for funnel creation
• Worksheets, templates, and checklists
• Capstone: Present your AI-enhanced prospecting plan

Requirement/
pre-requisites:

• Basic understanding of sales or marketing workflows
• Laptop
• No coding or technical background required