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Training Goals
- Understand the fundamentals of cybersecurity challenges in enterprise environments.
- Learn how AI technologies are transforming cybersecurity practices and threat detection.
- Explore the integration of AI for proactive defence, risk management, and incident response.
- Gain practical insights into AI tools and techniques used for real-time security monitoring and threat intelligence.
- Equip participants with the knowledge to build AI-enabled cybersecurity strategies tailored to enterprise needs.
Topics Covered with Learning Outcomes
1. Introduction to Enterprise Cybersecurity
Understand the enterprise cybersecurity landscape and major threat vectors.
Learn key cybersecurity principles, frameworks, and compliance requirements.
2. Cybersecurity Challenges in Enterprises
Identify common cyber threats such as malware, phishing, ransomware, insider threats, and advanced persistent threats (APTs).
Recognize gaps in traditional cybersecurity approaches and the need for advanced technologies.
3. AI Fundamentals Relevant to Cybersecurity
Gain foundational knowledge of AI, machine learning, and deep learning concepts.
Understand how these AI technologies apply specifically to cybersecurity use cases.
4. AI-Enhanced Threat Detection and Prevention
Learn how AI analyses vast data to identify anomalies and predict threats.
Explore AI models used for malware detection, phishing identification, and behavioural analytics.
5. AI in Security Operations and Incident Response
Understand automated incident response workflows powered by AI.
Discover AI’s role in threat hunting, forensic analysis, and security orchestration.
6. AI for Risk Management and Compliance
Explore AI tools for continuous risk assessment and vulnerability management.
Learn how AI supports compliance reporting and governance frameworks.
7. Ethical and Security Considerations of AI in Cybersecurity
Understand the ethical risks, bias, and adversarial attacks on AI systems.
Learn best practices to secure AI models and maintain trustworthiness.
8. Real-World Enterprise Use Cases of AI in Cybersecurity
Analyse case studies showcasing AI success in preventing breaches and minimizing damage.
Understand lessons learned from implementation challenges.
9. Interactive Workshop: Develop an AI-Driven Cybersecurity Strategy
Collaboratively design an AI-powered cybersecurity plan addressing enterprise-specific threats and policies.
Present strategies and receive feedback to enhance practical understanding.
10. Wrap-up and Q&A
Recap key takeaways and discuss next steps to integrate AI in cybersecurity initiatives.
Trainer Profile: Dr Anita Gupta has 21+ years of leadership in technology education, enterprise transformation, and product marketing. Expert in designing and delivering advanced training programs for Generative AI, large language models (LLMs), prompt engineering, and Microsoft 365 Copilot. Proven track record in up-skilling teams for clients globally. Adept at crafting hands-on workshops, and Training programs for clients in both online and offline mode. Have worked at various places like Kuala Lumpur, Dubai, New York, Doha and Bangalore.
Audience: IT Teams, Security Officers, Risk Managers
Delivery: ZOOM Meeting
