Masters of Data

Sumo Logic

Your new favorite podcast for all things security and industry trends. Brought to you by Sumo Logic, each episode features no B.S. real talk with experts who’ve been in the trenches, helping you navigate complex tech decisions, avoid costly mistakes, and stay one step ahead.

  1. 12h ago ·  Video

    I’ll have my AI agent call your AI agent: Battle for your digital hub

    On this episode of Masters of Data, we unpack what it actually means to expect AI to be the primary interface for everything we do. We dig into the pull toward centralizing work in a single hub like Claude versus staying spread across specialized tools like Slack, Asana and Zoom, and where the line sits between helpful automation and letting an agent speak on your behalf. We also get into the "chief of staff" agent workflow for daily roundups and why specialized, best-of-breed tools aren't going anywhere, even as hubs get smarter. If you're weighing how much of your workflow to hand over to AI versus keeping it in tools built for the job, this one's for you. 0:00:00 – Introduction 0:02:05 – How chat interfaces became table stakes 0:02:57 – Centralizing work into a single AI hub 0:03:55 – Building a "chief of staff" agent for daily roundups 0:05:23 – How much autonomy should AI agents have? 0:07:52 – The "ew, David" problem: when agents message for you 0:08:31 – AI as a meeting summarization tool 0:09:53 – Why Zoom should stick to meetings, not become the hub 0:12:02 – Choosing the right AI tool for the right job 0:13:50 – Tech's endless land grab for the user's hub 0:19:03 – The case for specialized, best-of-breed tools 0:21:06 – Wrap-up: lower stress with AI-powered roundups

    I’ll have my AI agent call your AI agent: Battle for your digital hub

  2. 6d ago ·  Video

    Operating at galactic scale: Inside Sumo Logic's agentic security program

    In this episode of Masters of Data, We sat down with Jeremy Powell, CISO at Sumo Logic, to unpack how AI is reshaping security operations from the SOC floor to the boardroom. Jeremy walks us through Sumo Logic's agentic security program, where AI agents now handle first-line triage, red-team the company's own defenses, and cut incident response time by 60%. We also get into what it means to lead a security team when execution is no longer the bottleneck and empathy becomes a core leadership skill. This one is for security leaders trying to move AI agents out of pilot mode and into real production workflows. 0:00:00 – Introduction and welcoming Jeremy Powell 0:00:43 – Jeremy's 30 years in security and infrastructure 0:02:06 – What traditionally keeps CISOs up at night 0:04:39 – Why AI makes threats a capability problem, not a volume problem 0:06:00 – Running SecOps like an agile, agentic organization 0:10:23 – Borrowing Anthropic's "impossible task" playbook 0:14:33 – Empathy as a core skill under CISO pressure 0:17:45 – How AI is transforming compliance and SOC triage 0:23:23 – Red-teaming Sumo's own agents at machine speed 0:27:39 – What's coming at Black Hat: Mobot v2 and conversational search 0:35:08 – Wrap-up and thanks

    Operating at galactic scale: Inside Sumo Logic's agentic security program

  3. Jul 7 ·  Video

    Called it (mostly): Checking in on 2026 predictions so far

    On this episode of Masters of Data, we revisit the predictions Adam White, Zoe Hawkins, and David Girvin made at the end of last year, checking our own scorecard halfway through 2026. The hits: agents running amok and deleting databases, MCP becoming the backbone for tracking what agents actually do, growing security gaps around personal data, and a collective rejection of low-quality AI content. The misses: we underestimated how fast companies would cut staff for AI, then quietly start rehiring once the agents couldn't cover the work, and we're still arguing about whether token burn is a cost problem or a coming attack vector. Security and marketing leaders weighing their own AI rollout will find plenty to steal here, especially the case for building governance before the connect button gets clicked. 0:00:00 – Revisiting last year's AI predictions 0:01:13 – Agents running amok, from deleted databases to deleted backups 0:03:45 – MCP becomes the dominant way to track agent activity 0:09:00 – Security gaps and oversharing with AI assistants 0:14:29 – Deepfakes, fake candidates and the recruiting nightmare 0:20:51 – Collectively calling BS on obvious AI content 0:26:31 – Underestimating AI adoption speed and the quiet rehiring wave 0:32:56 – Token burn as corporate strategy and future attack vector 0:36:47 – Rethinking the patching paradox and open source security 0:41:09 – Wrap-up and the next round of predictions

    Called it (mostly): Checking in on 2026 predictions so far

  4. Jun 30 ·  Video

    Crispy SOC teams: The root of burnout is data

    SOC analyst burnout gets talked about constantly, but the data angle doesn't get enough credit. In this episode, Adam White, Zoe Hawkins, and David Girvin dig into how messy, incomplete, or untrustworthy data leaves security teams grinding away on the wrong things, chasing CVEs that will never be exploited while the real threats walk right through the front door. They cover vulnerability management theater, why phishing keeps winning, and how the volume demands of modern SIEMs are pushing teams toward agentic automation, whether they're ready or not. Security practitioners who've ever felt like they're working hard but still losing will recognize the frustration this episode puts into words. 0:00:00 – Introduction 0:00:44 – Why burnout and alert fatigue are losing their meaning 0:03:18 – Working toward the wrong solution 0:05:10 – The CVE treadmill and vulnerability management theater 0:09:47 – Thinking like a business: threat modeling with real stakes 0:11:55 – Phishing as the persistent, evolving top threat 0:15:26 – SIEM data coverage and the cost of big data 0:18:04 – Agentic automation and the speed problem 0:19:10 – The productivity-security trade-off 0:22:37 – Wrap-up

    Crispy SOC teams: The root of burnout is data

  5. Jun 23 ·  Video

    SIEMply SIEM: Getting set up without buyer's remorse

    We've all been there: you buy the SIEM, check the box, and wonder six months later why nothing's actually working. In this episode, Adam White, Zoe Hawkins, and David Girvin dig into what it really takes to get a SIEM running properly, from threat modeling your business objectives first to the iterative tuning work that never quite ends. We also get into the AI hype cycle in security, why probabilistic tools have real limits in regulated environments, and the vendor lock-in math that makes switching harder than it looks. Worth a listen for any security practitioner or team lead who's staring at a half-configured deployment and wondering whether the problem is the tool or the implementation. 0:00:00 – Introduction 0:00:26 – The SIEM setup problem: why so many go unused 0:02:35 – Checkbox compliance and the auditor gap 0:04:35 – What "properly configured" actually means 0:05:33 – Threat modeling as the foundation for SIEM setup 0:09:40 – Using AI for gap analysis and tuning (not just threat hunting) 0:12:13 – How to tell if your SIEM is actually working 0:15:12 – Signal vs. noise: the stages of SOC maturity 0:19:42 – Vendor lock-in vs. best-of-breed in a consolidating market 0:24:14 – Startup acquisition risk and staying power 0:28:18 – The real lesson: configuration beats chasing the next tool 0:30:31 – Wrap-up

    SIEMply SIEM: Getting set up without buyer's remorse

  6. Jun 16 ·  Video

    Stop building security dashboards nobody reads

    Masters of Data

    Stop building security dashboards nobody reads

  7. Jun 9 ·  Video

    I think, therefore I am: Metacognition and AI

    On this episode of Masters of Data, we dive into metacognition (thinking about thinking) and why knowing how your own brain works makes you a better AI user. We explore how different prompting styles, from engineering every detail to anticipating every failure mode, reflect how we each think, and why giving AI the right context is the difference between a brilliant result and a confident hallucination. We also get real about the cognitive cost of AI-fueled productivity: doing thirty things shallowly is not the leisure-filled future we were promised, and burnout is catching up fast. Plus, we make a strong case for using AI as your personal blind spot detector, because sometimes you need a machine to tell you what you are missing. Who this is for: Knowledge workers, team leads, and anyone who uses AI daily and wants to get more intentional about how they prompt, delegate, and protect their own thinking in an increasingly AI-assisted workflow.

    I think, therefore I am: Metacognition and AI

  8. Jun 2 ·  Video

    Lights, camera, compliance: Finally seeing what your AI is actually doing

    Masters of Data

    Lights, camera, compliance: Finally seeing what your AI is actually doing
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Your new favorite podcast for all things security and industry trends. Brought to you by Sumo Logic, each episode features no B.S. real talk with experts who’ve been in the trenches, helping you navigate complex tech decisions, avoid costly mistakes, and stay one step ahead.

Information

  • Creator
    Sumo Logic
  • Years Active
    2025 - 2026
  • Episodes
    53
  • Rating
    Explicit
  • Copyright
    © 2025
  • Show Website
    Masters of Data