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AI Security Crisis 2026: Master AI-Powered Defense Before Skills Gap Becomes Breach Gap
- Overview of AI and Machine Learning in Cybersecurity
- AI-Powered Threat Detection and Incident Response
- Behavioral Analytics and Anomaly Detection
- AI in Security Operations Centers (AI-SOC)
- Adversarial AI: Risks from AI-Enabled Cyberattacks
- Zero-Trust Architecture and AI Integration
- Fraud Detection Using AI and Predictive Analytics
- AI Governance and Compliance Alignment (NIST, ISO 27001, GDPR)
- Evaluating and Procuring AI-Based Security Solutions
- Case Studies: Real-World AI Cybersecurity Deployments
- Future Trends: Autonomous Cyber Defense and Quantum AI
Overview of the webinar
Artificial Intelligence is rapidly becoming the cornerstone of modern cybersecurity strategy. This session provides a comprehensive overview of how AI and machine learning are applied across the cybersecurity lifecycle - from threat intelligence and anomaly detection to automated remediation and fraud prevention. Participants will gain a thorough understanding of AI-driven Security Operations Centers (AI-SOC), behavioral analytics, and zero-trust architectures powered by machine learning. The session also examines the risks of adversarial AI - where attackers use AI to craft sophisticated phishing campaigns and evasion techniques - and how defenders can counter these threats. Attendees will leave with a clear framework for integrating AI tools into their existing security programs while maintaining compliance with applicable regulations including NIST, ISO 27001, and emerging AI governance standards.
Who should attend?
- Chief Information Security Officer (CISO)
- IT Security Manager
- Compliance Officer
- Risk Manager
- Data Privacy Officer
- Security Analyst
- Internal Auditor
- IT Director
- SOC Manager
- Legal & Regulatory Affairs Professional
Why should you attend?
As cyber threats evolve at unprecedented speed and scale, traditional security approaches are no longer sufficient. AI is transforming the cybersecurity landscape by enabling faster threat detection, automated incident response, and predictive risk analysis. This webinar equips compliance officers, IT security professionals, and risk managers with the knowledge to understand how AI-powered tools are reshaping cybersecurity frameworks, how to evaluate AI-based security solutions, and how to align AI adoption with regulatory and governance requirements. Whether you are beginning your AI security journey or looking to deepen your expertise, this session offers actionable insights and real-world case studies to help your organization stay ahead of cyber adversaries.
Faculty - Mr.Mohammed Ilyas Ahmed
Mohammed is a security and DevSecOps professional with deep experience helping organizations strengthen their security posture across modern, cloud-native environments. His work centers on bridging security, engineering, and operations to enable scalable, resilient, and secure systems in complex enterprise ecosystems.
He is an active contributor to the global technology community and a frequent speaker at leading industry conferences and platforms, including DEF CON, Black Hat, KubeCon (Paris), ISACA, IANS, and Wallarm, among others. He is also regularly invited to serve as a technical session judge, where he brings practical insight and industry rigor to evaluating emerging ideas and innovations.
He maintains strong ties with academia and thought leadership. He contributes research associated with Harvard University, publishing work that advances discussions on modern security practices, governance, and risk management. He is a member of the Harvard Business Review Advisory Council, where he supports collaboration between industry and academia and promotes knowledge sharing and innovation.
His work has a global dimension through his role on the Global Advisory Board of VigiTrust Limited (Dublin, Ireland), where he contributes to international strategies in cybersecurity, data protection, and risk management. He holds numerous industry certifications that reflect the breadth and depth of his expertise in security and cloud technologies.
He is the author of Cloud-Native DevOps, a practical guide to building scalable, reliable, and secure cloud-native applications. The book draws on real-world experience to cover modern DevOps and DevSecOps practices, containers, CI/CD pipelines, and security integration in cloud-native architectures.
His areas of focus include cybersecurity, cloud-native technologies, DevSecOps, risk management, and the role of AI in cloud-native ecosystems. Beyond his professional work, he brings a range of interests and perspectives that inform his leadership and thought leadership.