Data Analytics for Continuous Risk Management
In this presentation, James Tarala, Senior Faculty at the SANS Institute and Principal Consultant at Cyverity, will introduce an automated cybersecurity risk management model that integrates data analytics with existing security infrastructures. The approach focuses on automating data collection and analysis from various cybersecurity systems to generate actionable insights. By transforming raw data into a clear risk profile, organizations can better inform business stakeholders, prioritize resources effectively, and respond proactively to emerging threats. This model enhances cybersecurity operations by streamlining risk assessment and enabling a more strategic, data-driven decision-making process. Attendees will learn how to leverage their current cybersecurity tools to build a robust risk management framework, maximizing existing capabilities before expanding with additional integrations.
The presentation will cover practical strategies for implementing automation, selecting analytics tools, and configuring data pipelines to improve threat detection, compliance, and overall resilience. By aligning cybersecurity operations with broader business objectives, organizations can strengthen both their security posture and regulatory adherence with greater efficiency and confidence.
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