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#1947Detection at Scale67.0 / 100Get badge
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Detection at Scale

Hosted by Panther Labs

★5.0on Apple Podcasts · 2 recent reviews

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.

78 episodes · publishes fortnightly · latest 2026-05-12 · ~32 min/episode

Rank

#1947

Substance

67.0

/ 100

Breakdown

Scored 2026-07
Updated monthly

Engineering & DevTools rank

#130 of 289

Best B2B Engineering & DevTools Podcasts →

Across the index

#1947 of 6185

Substance

Top 31%

outscores 69% of the index

Why it scores where it does

Detection at Scale ranks #1947 on The B2B Podcast Index with a substance score of 67.0 out of 100, scored across 1 recent episode. It scores highest on guest caliber and insight density. Jack carries real practitioner credibility - Yahoo incident response at scale, early Airbnb security hire, co-creator of StreamAlert - which grounds the conversation; however, this is structurally an internal marketing interview where the CEO is questioned by his own CPO about their own product, limiting independent external perspective.

The five-dimension breakdown

Averaged across 1 recently scored episode, with cited evidence.

Insight Density

14.0 / 20

A handful of genuinely useful ideas surface - writing detections as criteria for agents rather than step-by-step instructions, the Jevons paradox applied to SOC capacity, and the 'closing the loop' vs. 'closing the alert' distinction - but these are diluted by a lengthy origin-story segment, repeated AI-hype validation loops, and vague macro-level claims that add little for practitioners.

“I'm not telling the model how to do those things, I'm just saying, hey, if these things are true, then I would gauge this as risky. And then what the model can do is it can use all the tools and data and context it has available to it”

“it's kind of like Jevons paradox in a way, where it's like when you have a capability that could replace something, you're doing more of it”

Originality

14.0 / 20

The reframing of detection engineering for agent consumption (criteria-based vs. deterministic runbooks) and the 'closing the loop' concept are fresh and worth hearing; however, the bulk of the episode rehashes standard 2024-2025 AI adoption narratives - skepticism-to-trust arc, cloud-wave analogy, alert fatigue - that circulate widely in security podcasts.

“when you're writing for agents... you go from, um, hey, check 1, 2, 3, these exact steps to, well, here's the criteria for what I would gauge something as bad”

“And then on the other side of that you have the security platforms getting into SIM and data pipeline...they have to evolve, everyone has to”

Guest Caliber

16.0 / 20

Jack carries real practitioner credibility - Yahoo incident response at scale, early Airbnb security hire, co-creator of StreamAlert - which grounds the conversation; however, this is structurally an internal marketing interview where the CEO is questioned by his own CPO about their own product, limiting independent external perspective.

“I'm actually going to be interviewed today by my colleague Julian. Julian is the Chief Product Officer at Panther, which is the company that, um, I'm the CEO of”

“I joined as one of the first hires on the incident response team. And my mandate was very similar to at Yahoo”

Specificity & Evidence

12.0 / 20

Named technologies (StreamAlert, KQL, MCP, BigQuery, Elastic, Snowflake) and concrete architectural choices (Python detection-as-code, cloud data warehouse as centre of gravity) provide some substance, but virtually no hard customer metrics, dollar outcomes, or independently verifiable data points are offered, and the one stat cited is openly vague.

“tens of millions of dollars and you have two months of retention”

“a hundred lines of a prompt that helps it understand what's different about the data that's in Panther”

Conversational Craft

11.0 / 20

Julian asks a few well-framed historical questions ('what assumptions were you running on two years ago?') and occasionally presses on timelines, but the format - CPO interviewing his own CEO - produces consistent agreement, sentence-finishing, and zero productive pushback on any product or market claim throughout the episode.

“What assumptions were you running on? What were your hopes and dreams from two years ago and versus where we are, what's materialized and what's misaligned”

“So it's going from like hesitancy, this, this bolt on feature that can like accelerate a little bit to oh, this is taking the manual work out of the equation for me”

Standout episodes

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

    2026-05-12

    67

Rank over time

First period on the Index - history builds from here.

Episodes

1 scored on substance · 60 tracked in total.

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

    2026-05-12 · 49 min

    67 / 100

What listeners say on Apple Podcasts

★★★★★
Incredible!
It’s obvious Jack puts extraordinary effort in covering salient topics and finding guests that are authentic and truly care about being a positive force in this space - the insights they bring to bear are mind-blowing every. single. time.

- Dan1777999877

★★★★★
Love it
High scale threat detection is such a unique problem that more and more struggle with every day - so great to see someone focusing on helping us practitioners solve this. Thanks to Jack and the team for doing this. You’ve got yourself a listener!

- YouShouldCode1

Frequently asked

What is Detection at Scale's substance score?
Detection at Scale scores 67.0 out of 100 for substance and ranks #1947 on The B2B Podcast Index. That puts it ahead of 69% of the B2B podcasts we rank and #130 of 289 in Engineering & DevTools. The score reflects insight density, originality, guest caliber, specificity and conversational craft across recent episodes - not downloads.
Is Detection at Scale worth listening to?
Yes - Detection at Scale outscores 69% of the B2B engineering & devtools podcasts and shows we rank on substance, so a engineering & devtools operator is likely to come away with something useful.
Who hosts Detection at Scale?
Detection at Scale is hosted by Panther Labs.
How often does Detection at Scale publish?
Detection at Scale publishes fortnightly, has 78 episodes, released its most recent episode on 2026-05-12.
Which Detection at Scale episode should I start with?
Our highest-scoring recent episode is "Closing The Alert vs. Closing The Loop: How AI Is Reinventing the SOC" (67/100) - a good place to start.

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Guests who've appeared

Julian Juca

Topics this show covers

The themes that come up most across this show's episodes.

ClaudeAgentic AILLMs (Large Language Models)MCP (Model Context Protocol)tool callingreasoning modelsPanther FlowKQL (Kusto Query Language)StreamAlertDetection as code

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