Detection at Scale

The Detection at Scale Podcast is dedicated to helping security practitioners and their teams succeed at managing and responding to threats at a modern, cloud scale. Hosted by Jack Naglieri, Founder and CTO at Panther, every episode is focused on actionable takeaways to help you get ahead of the curve and prepare for the trends and technologies shaping the future.

Detection at Scale is a technology podcast hosted by Unknown Host, with 78 episodes on record and a Required Pod Score of 80. PitchCentric scores this show on Booking Probability, Listen Score, and live audience signals refreshed every 24 hours.

Unknown Host hosts Detection at Scale, a technology show with 78 episodes published.

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  Detection at Scale

  Closing The Alert vs. Closing The Loop: How AI Is Reinventing the SOC

  May 12, 202649 minS0

  <p>This week is a special episode of the Detection at Scale podcast. I’m usually the one asking the questions, but this time I’m in the guest chair, hosted by Julian Giuca, Panther’s Chief Product Officer. Our conversation covers the journey of building Panther’s AI SOC platform: From the evolution of the SOC from human-led to AI-enabled, the shifts of the last few years that took LLMs from “autocomplete-plus-plus” into genuinely useful agents, how security teams are actually adopting this technology in production, and what we’ve learned building these systems as the operating patterns keep evolving.</p><...

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  Detection at Scale

  Google's Michael Sinno on Autonomous Detection at 7 Trillion Logs Per Day

  Feb 24, 202638 minS0

  <p>What does it actually take to automate security operations when you're processing 7 trillion log lines daily and a single missed threat could compromise billions of users? Michael Sinno, Director of Detection & Response at Google, explains how his team handles this with less than 1% requiring human intervention through strategic AI implementation. He explores Google's methodical approach to AI autonomy, including fine-tuned models trained on golden datasets, validation through overseer agents, and the critical distinction between traditional automation and agentic AI that exercises judgment. </p><p>Michael also discusses groundbreaking work with Sec-Gemini and Timesketch that enables forensic analysis to surface a...

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  Detection at Scale

  Block's CISO James Nettesheim on How 40% of Their Detections Are Now Written with AI

  Feb 10, 202634 minS0

  <p>What if the real risk isn't adopting AI agents, but refusing to? James Nettesheim, CISO & Head of Enterprise Technology at Block, argues that principled risk-taking beats playing it safe. James shares Block's journey co-designing the Model Context Protocol with Anthropic and building Goose, their open-source general-purpose agent that enables anyone in the company to write security detections using natural language.</p><p>James also explores Block's Binary Intelligent Triage system achieving 99.9% accuracy, their data safety levels framework, and practical strategies for balancing autonomous AI capabilities with human oversight. James offers candid insights about implementing AI security principles, the evolution...

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  Detection at Scale

  Compass' Ryan Glynn on Why LLMs Shouldn't Make Security Decisions — But Should Power Them

  Jan 27, 202641 minS0

  <p>Ryan Glynn, Staff Security Engineer at Compass, has a practical AI implementation strategy for security operations. His team built machine learning models that removed 95% of on-call burden from phishing triage by combining traditional ML techniques with LLM-powered semantic understanding. </p><p>He also explores where AI agents excel versus where deterministic approaches still win, why tuning detection rules beats prompt-engineering agents, and how to build company-specific models that solve your actual security problems rather than chasing vendor promises about autonomous SOCs.</p><p>Topics discussed:</p>Language models excel at documentation and semantic understanding of log data for security a...

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  Detection at Scale

  Veeva Systems' Mike Vetri on Building Threat Operations Teams and AI-Powered Investigations

  Jan 13, 202638 minS0

  <p>Mike Vetri, Sr. Director of Security Operations at Veeva Systems, reflects on transforming SOC investigations through AI-powered data aggregation and building threat operations teams with the analytical mindset required for proactive defense. Mike introduces the C3 Matrix framework for prioritizing security efforts across centers of gravity, crown jewels, and capability enablers, and explains the seven Ds of cyber defense from discovery through deception operations. </p> <p>Drawing from 10+ years of Air Force cyber intelligence experience, Mike details why threat operations requires fundamentally different system-two thinking than detection engineering, and how this discipline shift moves organizations from reactive firefighting to p...

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