Security teams are overwhelmed with data but still struggle to answer a fundamental question: what actually matters?In this fireside chat, CyberSaint's Padraic O’Reilly and IBM's Srinivas Tummalapenta explore how cybersecurity is evolving from fragmented data collection to a unified cyber risk intelligence layer.They break down how layered AI architectures, combining NLP, GNNs, and LLMs, enable organizations to normalize massive volumes of security data and transform it into real-time, actionable insight. The conversation dives into what it takes to connect telemetry, controls, and threat intelligence into a system that continuously prioritizes risk, supports decision-making, and aligns cybersecurity with business outcomes.For more information about CyberSaint , please visit: https://securityweekly.com/cybersaint....Show Notes: https://securityweekly.com/rsac26-5
RSAC, AI/ML, AI benefits/risks, Security Operations, SOC
IBM’s Srinivas Tummalapenta: Building the cyber risk intelligence layer
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