Mar 3
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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 We break down: The evolution and modern challenges of the SIM market, including why outdated architectures struggle with today’s data volumes.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 low-latency querying, cost-effective storage, and flexible architectures that enable security teams to operate at machine speed. Why the next wave of security operations will depend on maintaining and rehydrating vast, granular data stores without breaking the bank. How innovative companies like Hydraulics are building the emerging data fabric that will underpin zero-trust, AI-driven security in the years ahead. This episode is essential listening for security professionals, CTOs, and data architects eager to stay ahead of the exponential growth in security signals, threats, and complexity. Miss out on these insights, and your organization risks falling behind—armed only with legacy systems that can’t keep up. A smarter, faster, cheaper future for security analytics is here. Plus, Michael shares exclusive research coming to RSA — including advances in AI-driven bots and zero trust frameworks. Whether you’re defending enterprise assets or building next-generation SOCs, this conversation is your gateway to the future of security data management. Timestamps: 00:00 – Introduction and episode overview 02:24 – Michael's background and experience in data science and security 04:52 – How infrastructure and SIEM technologies have evolved over the past decade 08:15 – Limitations of current SIEM architectures and data retention challenges 12:10 – Hydraulics' approach to scalable, cost-effective security data platforms 15:24 – The importance of real-time analytics in security operations 17:00 – AI and automation in breach detection and incident response 19:34 – Scaling security telemetry across global networks and CDN signals 22:10 – The object-oriented storage analogy in security data management 25:05 – Crossing the chasm: from traditional SIEM to real-time data fabric 28:13 – Future of AI in security automation and the next decade in security tech 31:01 – Final insights and how to connect with Hydraulics Resources & Links: https://hydrolix.io AWS Object Storage Understanding Data Fabrics in Security (hypothetical link)