AI in Cybersecurity: Threat Detection & Response

The learning objectives for the 2-Day Corporate Governance Training program aim to provide participants with a comprehensive understanding of key principles and frameworks of corporate governance in Malaysia, including the definition, importance, and core principles such as fairness, accountability, and transparency. Participants will identify the roles and responsibilities of the board of directors and management, analyzing board structure, composition, and the distinct duties of both parties while emphasizing effective communication. The program will highlight the significance of stakeholder engagement and accountability by identifying various stakeholders, discussing engagement strategies, and exploring mechanisms for accountability. Additionally, participants will comprehend the regulatory landscape and compliance requirements by reviewing relevant legislation such as the Companies Act 2016, understanding compliance obligations, and analyzing the role of regulatory bodies, while also discussing the consequences of non-compliance.

• Understand the role of AI in cybersecurity and how it enhances traditional security measures.
• Explore AI-driven technologies used in threat detection, incident response, and vulnerability management.
• Learn how machine learning and deep learning algorithms improve the accuracy of threat identification.
• Implement AI-based tools for real-time analysis of security data.
• Develop strategies to incorporate AI into an organization’s cybersecurity framework.
• Gain insights into automated response systems and AI-enabled decision-making for mitigating cyber risks.

• Cybersecurity Professionals
• IT Security Analysts
• Risk Management Teams
• Data Protection Officers
• CISOs (Chief Information Security Officers)
• AI Engineers and Data Scientists working in cybersecurity
• IT Managers and System Administrators
• Security Operations Center (SOC) Teams

Day 1 - Cybersecurity Fundamentals and AI Integration

Module 1: Introduction to Cybersecurity and Emerging Threats

• Overview of cybersecurity challenges in today’s digital landscape.
• Key cyber threats (e.g., phishing, ransomware, zero-day attacks).
• The need for AI-driven cybersecurity solutions.

Module 2: AI in Cybersecurity – Technologies and Tools

• Machine Learning (ML) and Deep Learning (DL) algorithms in threat detection.
• Overview of AI-powered threat intelligence platforms.
• Case study: AI-driven Intrusion Detection Systems (IDS) and Intrusion Prevention Systems (IPS).

Module 3: Threat Detection with AI

• How AI algorithms identify anomalous behavior and potential threats.
• Real-time monitoring and detection techniques using AI.
• Behavioral analytics and predictive analytics in threat identification.
• Hands-on session: Using AI tools for threat detection.

Module 4: AI in Risk Management and Vulnerability Assessment

• Automating vulnerability scanning and risk assessments using AI.
• AI tools for identifying security weaknesses in software and networks.
• Case study: AI-assisted vulnerability management systems.

Day 2 - AI-driven Response and Implementation in Cybersecurity Frameworks

Module 5: AI-driven Automated Response Systems

• Introduction to automated incident response (AIR) using AI.
• AI's role in reducing response times and human errors.
• Case study: AI in malware detection and automated quarantine.
• Hands-on session: Setting up an automated AI response system.

Module 6: Deep Learning and Advanced Threat Detection

• Advanced AI techniques like neural networks for detecting complex cyber threats.
• Case study: How AI uses deep learning to combat APTs (Advanced Persistent Threats).
• Practical workshop: AI-driven anomaly detection with deep learning.

Module 7: Implementing AI in Your Organization's Cybersecurity Strategy

• Best practices for integrating AI into your cybersecurity operations.
• Considerations for scaling AI in large organizations.
• Data privacy, ethical concerns, and biases in AI-driven decision-making.
• Workshop: Developing an AI implementation plan for a cybersecurity program.

Module 8: Future Trends in AI for Cybersecurity

• The evolving landscape of AI-powered cybersecurity.
• Emerging technologies (e.g., Quantum AI, AI and blockchain integration).
• The future of AI-driven threat detection in a more secure digital world.

Closing Session: Key Takeaways and Action Plan

• Review of key learnings from the two days.
• Discuss how participants can apply AI technologies in their own organizations.
• Actionable steps for AI adoption in cybersecurity.

Q&A and open discussion.

• Interactive Lectures: Detailed presentations on AI in cybersecurity, key concepts, tools, and technologies.
• Case Studies: Real-world examples of AI-driven cybersecurity systems used to prevent attacks.
• Hands-on Demonstrations: Live demonstrations of AI tools for threat detection and response.
• Group Discussions: Encourage participants to share experiences and collaborate on AI-driven cybersecurity strategies.
• Q&A Sessions: Opportunity for participants to engage with experts and clarify doubts.
• Workshops: Practical exercises to simulate AI in threat detection and incident response.

M. JAY RAJ A/L P. MURESH (MJ)
Legal Advisor | Law Lecturer | Professional Trainer – Law Enforcement, Cybersecurity & PDPA

Profile Summary
M. Jay Raj (MJ) is an experienced and highly qualified Legal Advisor, Law Lecturer, and Professional Trainer with over 6 years of experience in the areas of Law Enforcement, Cybersecurity, Data Analysis, and Personal Data Protection (PDPA).
He has successfully empowered individuals and organizations through impactful and customized training programs, both public and in-house.

Professional Background
MJ holds a Bachelor of Laws (LLB) from the University of London and is currently pursuing his Master of Laws (LL.M.) at the University of Malaya.

During his tenure as a Law Enforcement Lecturer at Unikop College (a wholly-owned institution of the Royal Malaysian Police Force Corporation), he played a key role in developing the Law Enforcement Program. He also contributed to legal and protection work related to arrest, court proceedings, and detention of refugees while serving as an officer with the Legal Protection Unit, UNHCR.

To strengthen his expertise in the evolving digital landscape, MJ completed professional certifications in Cybersecurity (2018) and Data Science & Analysis (2020). He is also trained in Personal Data Protection (PDPA) compliance, enabling organizations to align with current data protection laws and best practices.

Training Focus Areas

• Personal Data Protection Act (PDPA) Compliance
• Cybersecurity Awareness
• Data Analysis for Non-Data Professionals
• Law Enforcement and Legal Frameworks

Upon successful completion of this program, you will receive a Certificate of Achievement.

1. By Credit card: You can opt to register and pay online with our latest payment integration system through our website.
2. Bank Transfer- You can also opt to bank transfer payment via local / international banks. Please send payment slip as proof of payment.
3. HRD Corp Claimable Courses Skim Bantuan Latihan Khas - Applicable to Malaysian Employer Only

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