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Brian C. Long

CEO and Co-Founder, Adaptive Security · 1 appearance on the record.

computed by AI from the episodes · how this works → · full disclaimer →

founderexecutiveinvestor@BrianCLong ↗LinkedIn ↗adaptivesecurity.com ↗

Before launching Adaptive Security, Long co-founded the conversational commerce platform Attentive as well as TapCommerce, which was acquired by Twitter. At Adaptive Security, he focuses on enterprise defenses and training designed to protect organizations from deepfakes, voice cloning, and AI-driven social engineering attacks.

15statements → 13claims → 5claims resolved → 60%fully supported → 3.8/5average certainty → 2.2/5average debate potential →

3 supported 2 partly supported 0 contradicted 2 not yet assessed 6 not checkable as stated how the 13 claims stand · each chip opens the sources

5 predictions · 8 assertions · 2 insights · every statement was checked. The predictions and assertions are the 13 claims: statements the public record can support or contradict. 5 are resolved, 2 are not yet assessed, and 6 name no date, number or outcome precise enough to check. Everything else (opinions, insights, what ifs, disclosures) can never be settled by the record, so it carries no assessment.

The record, in short

What the tape says about how Brian argues and how the claims held up. Everything they said, and everything said about them, is in the tabs below.

Their most notable supported claim

Assertion Supported
Long: A legacy security training company unwittingly hired a North Korean operative
“One of the legacy training companies actually came out a few months ago and said that they actually had someone from North Korea that I think they may have employed or that got into their systems or something.”
Brian C. Long Feb 28, 2025 ▶ 19:08 How to spot an AI Deepfake

Expressed certainty vs assessment result

none yet certainty 1
none yet certainty 2
100% certainty 3
67% certainty 4
100% certainty 5

weighted support: a fully supported claim counts one, a partly supported claim counts half. Each filled bar is clickable and opens exactly those claims; "none yet" means nothing said at that certainty level has resolved yet

How they sound: speaking style how? →

270 words/min while actually speaking · 33.1 um and uh per 1k words

No argument clarity score for Brian C. Long: no usable question→answer exchanges on raw tape (a fair score needs 8+). We do not score a sample that small. Roundtable and news formats yield far fewer direct exchanges than interviews.

Measured by listening to the audio itself: 3,047 words across 1 episode of raw-level tape, transcribed verbatim with every um and uh kept, each one attributed only where the alignment onto our timed stream is unambiguous. These are measurements of speaking style. We do not rank them: across this corpus, fluency and argument quality are nearly uncorrelated (ρ≈0.2), and smooth talking does not signal clear thinking. How it's measured →

Everything Brian C. Long said on the a16z Podcast that made the record, most notable first. Filter by type, assessment or year in the ledger →

Prediction Open · timeframe Feb 2027
Long: AI cyberattacks will disable critical infrastructure within two years
“I think what I'm really worried about is that when you're going to see this actually transition to people being actively hurt you know, hospitals being taken down, energy systems taken offline, other things like that. Obviously we've had cases of that already …”
Brian C. Long Feb 28, 2025 ▶ 15:41 How to spot an AI Deepfake
Prediction Not checkable as stated
Long: Everyone will experience a deepfake attack within a year
“And I think that's gonna end up being the, you know, the answer that everyone's gonna experience it in the next year or so.”
Brian C. Long Feb 28, 2025 ▶ 2:43 How to spot an AI Deepfake
Prediction Not checkable as stated
Long: AI will enable cybercriminals to deploy autonomous attack agents at scale
“Now with AI, they can lever themselves up and they can make, you know, infinite numbers of themselves as agents to go out and do these types of attacks autonomously. And it's going to be very, very profitable for them. So they're going to have lots of money to…”
Brian C. Long Feb 28, 2025 ▶ 13:41 How to spot an AI Deepfake
Assertion Not publicly verifiable
Long: US recorded over 100,000 deepfake attacks in 2024
“Where in the United States in 20, 24, we saw over a 100,000 deep fake attacks.”
Brian C. Long Feb 28, 2025 ▶ 2:18 How to spot an AI Deepfake
Assertion Partly supported
Long: Deepfake Russian official targeted the Senate Foreign Relations Chairman
“Example that I brought up in a recent post that I feel like was just kind of overlooked. Maybe you covered at some point. I don't know, but overlooked in the broader media was when someone used to deep fake in order to call up the chairman of the foreign relat…”
Brian C. Long Feb 28, 2025 ▶ 16:25 How to spot an AI Deepfake
Insight
Long: Security training is ineffective unless it is jarring to users
“One, I think training should be personalized to you and it should really engage and hopefully be jarring to you. If it's not jarring in some way, then it's not really working.”
Brian C. Long Feb 28, 2025 ▶ 17:46 How to spot an AI Deepfake
Assertion Supported
Long: A legacy security training company unwittingly hired a North Korean operative
“One of the legacy training companies actually came out a few months ago and said that they actually had someone from North Korea that I think they may have employed or that got into their systems or something.”
Brian C. Long Feb 28, 2025 ▶ 19:08 How to spot an AI Deepfake
Assertion Partly supported
Long: Nearly 90% of cyberattacks still originate through human vectors
“The reality is that almost 90% of attacks still come through people.”
Brian C. Long Feb 28, 2025 ▶ 7:51 How to spot an AI Deepfake
Assertion Supported
Long: Social engineering attacks rose over 4x since ChatGPT launch
“So since ChatGPT came out a little over two years ago, we've seen over a four X increase in social engineering attacks.”
Brian C. Long Feb 28, 2025 ▶ 2:09 How to spot an AI Deepfake
Assertion Not checkable as stated
Long: New AI models enable scalable attacks across voice, SMS, and video
“So, you know, whether that's voice or SMS or video or chats all of those can now be done at scale where, you know, previously I think it would have been cost prohibitive.”
Brian C. Long Feb 28, 2025 ▶ 3:41 How to spot an AI Deepfake
Assertion Supported
Long: Modern AI models only need a voicemail greeting to replicate voices
“Because now with these models, that's all they need in order to do the replication of your voice.”
Brian C. Long Feb 28, 2025 ▶ 5:04 How to spot an AI Deepfake
Prediction Not checkable as stated
Long: Avoiding unknown callers to prevent voice cloning will become standard
“And that sounds like a crazy comment now, but I'm betting pretty strong that in five years this will be a very normal thing people think about.”
Brian C. Long Feb 28, 2025 ▶ 6:01 How to spot an AI Deepfake
Assertion Not checkable as stated
Long: 90% of legacy cybersecurity training content is irrelevant
“90% of the content's not relevant.”
Brian C. Long Feb 28, 2025 ▶ 10:59 How to spot an AI Deepfake
Insight
Long: Bad security training signals that company security is unimportant
“When the training is kind of a joke at the company, I think it also sends a signal to all of the employees that the company's security posture is also not very important.”
Brian C. Long Feb 28, 2025 ▶ 14:29 How to spot an AI Deepfake
Prediction Not checkable as stated
Long: Protective AI will beat malicious attack agents over next decade
“So yes, I do think that you're going to see a lot of that AI being used for very good to protect. And you know, we're going to be fighting each other over the next decade plus, and I'm confident that we're going to went over it”
Brian C. Long Feb 28, 2025 ▶ 21:07 How to spot an AI Deepfake

Appearances (1)

EpisodeDateSpeaking time
How to spot an AI Deepfake Feb 28, 2025 14m
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