The Hidden Architecture Secrets Making Real-Time Security Data Possible

About this episode

Michael Cucchi discusses how a new data architecture is revolutionizing real-time security analytics and addressing the limitations of traditional SIEM systems.

Most organizations are drowning in data they can't process fast enough — leaving critical security gaps that adversaries exploit. Michael Cucchi, Chief Marketing Officer at Hydraulics, reveals how a groundbreaking new data architecture is transforming real-time security analytics, slashing processing costs by up to 40X while capturing every byte of telemetry across global networks. In this episode, you’ll discover why traditional Security Information and Event Management (SIEM) systems are no longer sufficient for today’s threat landscape. Michael breaks down the limitations of legacy data storage, ingestion bottlenecks, and costly rehydration issues that leave security teams blind during breaches. He shares how leading companies are adopting a new security data fabric designed for hyper-scalability, instant analysis, and unprecedented data retention — all at a fraction of the cost. We break down: The evolution and modern challenges of the SIM market, including why outdated architectures struggle with today’s data volumes. How security analytics are rapidly moving toward real-time, agentic automation driven by AI and large-scale data fabrics. The critical importance of…

People in this episode

Host: Dr. Chase Cunningham

Guest: Michael Cucchi

Topics covered

• real-time security analytics
• data architecture
• security operations
• AI in security
• data retention
• cost-effective storage

Keywords

• real-time data
• security gaps
• data processing
• telemetry
• hyper-scalability
• low-latency querying
• data fabrics

Mentioned in this episode

Organizations: Hydraulics, Security Information and Event Management

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