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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.Abdur Rahman
Abdur is a strategic leader focused on the intersection of artificial intelligence, cybersecurity, accounting, and regulatory risk. He helps organizations navigate complex technology environments while strengthening AI governance, security, financial accountability, internal controls, enterprise risk management, and regulatory readiness.
His work centers on the responsible adoption of artificial intelligence across enterprise systems and decision-making processes. He examines how AI governance intersects with cybersecurity, accounting, audit, privacy, compliance, legal obligations, and operational resilience, helping organizations establish practical frameworks for managing emerging risks and opportunities.
Abdur is a Certified Public Accountant (CPA) and a Certified Information Systems Auditor (CISA). He also holds AI-related certifications focused on artificial intelligence, AI governance, responsible AI, machine learning, and emerging technology risk, along with additional certifications spanning security, cloud technologies, governance, and related disciplines. His leadership reflects a multidisciplinary approach to building trustworthy, accountable, and resilient organizations in an increasingly AI-driven regulatory environment.