AI-Based Intelligent Data Loss Incident Response Plan

Rafiq Khurshid, IT Specialist at Saudi Aramco, brings over 32 years of global IT expertise, with a strong focus on cybersecurity and data protection. With a deep background in Cross-Platform Data Loss Prevention (DLP), including two US patents and published research, he has led major enterprise-level implementations of DLP and cloud security solutions. Currently spearheading projects on CASB and CSPM to safeguard sensitive data in public cloud environments, Rafiq is set to share his insights on developing an AI-Based Intelligent Data Loss Incident Response Plan—highlighting how automation and AI can detect, classify, and respond to threats in real-time to protect critical data assets.

He will share his views on how AI-Based Intelligent Data Loss Incident Response is revolutionizing cybersecurity by enabling automated responses to data loss incidents. By collecting, correlating, and analyzing vast volumes of security incident data from diverse sources—such as data exfiltration channels, corporate asset inventories, and integrated security systems—this solution ensures a more holistic threat detection approach. Powered by a sophisticated big data analytics platform and advanced AI/ML security models, it transforms traditional Data Loss Prevention (DLP) from passive, data-centric monitoring into an intelligent, proactive system capable of real-time threat identification and rapid, effective incident response.