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.
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Show Notes: https://securityweekly.com/rsac26-5
