Liz Maida

Co-Founder & CEO, Fathom · 1 appearance on the record.

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

founderexecutiveengineer

Liz Maida was the co-founder and CEO of Uplevel Security, which was acquired by McAfee in 2019, following senior product leadership roles at Akamai Technologies. She later co-founded Fathom to build AI data infrastructure for life sciences.

8statements → 5claims → 2claims resolved → 4/5average certainty → 2.12/5average debate potential →

1 supported 1 partly supported 0 contradicted 3 not checkable as stated how the 5 claims stand · each chip opens the sources

5 assertions · 3 insights · every statement was checked. The predictions and assertions are the 5 claims: statements the public record can support or contradict. 2 are resolved, and 3 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 Liz 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

Liz Maida: Akamai operates 230,000 servers processing petabytes of daily data

“Akamai, for those who don't know, actually has over 230,000 servers deployed in over 1600 networks around the world. So when we were talking about data processing, we were talking the order of petabytes on a daily basis.”

Liz Maida Jul 13, 2017 ▶ 0:48 Graph Theory and Cybersecurity Data // Liz Maida, Uplevel Security (FirstMark's Data Driven)

How they sound: speaking style how? →

235 words/min while actually speaking · 22.3 um and uh per 1k words

No argument clarity score for Liz Maida: 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: 3,324 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 →

What they said8 Episodes1

Everything Liz Maida said on the MAD Podcast that made the record, most notable first. Filter by type, assessment or year in the ledger →

Assertion Not checkable as stated

Maida: Security teams average 16 hours investigating potentially malicious emails

“On average it can take them 16 hours to investigate a potentially malicious email.”

Liz Maida Jul 13, 2017 ▶ 5:44 Graph Theory and Cybersecurity Data // Liz Maida, Uplevel Security (FirstMark's Data Driven)

Insight

Maida: Playbook automation speeds up alerts without improving threat intelligence

“That's not actually solving the underlying problem, right? You might be processing alerts faster, but you're not getting any smarter or learning more about the attacks that you've seen.”

Liz Maida Jul 13, 2017 ▶ 6:43 Graph Theory and Cybersecurity Data // Liz Maida, Uplevel Security (FirstMark's Data Driven)

Insight

Liz Maida: Cybersecurity is an ideal use case for graph data structures

“Cybersecurity in many ways is almost the absolute ideal use case for a graph data structure.”

Liz Maida Jul 13, 2017 ▶ 9:09 Graph Theory and Cybersecurity Data // Liz Maida, Uplevel Security (FirstMark's Data Driven)

Assertion Partly supported

Maida: The average large organization uses over 40 cybersecurity vendors

“So, on average, the average large organization has over 40 security vendors between their network analysis and things that are installed on their endpoints, and all of those security devices are actually generating alerts.”

Liz Maida Jul 13, 2017 ▶ 2:37 Graph Theory and Cybersecurity Data // Liz Maida, Uplevel Security (FirstMark's Data Driven)

Assertion Not checkable as stated

Maida: Over 90% of enterprise cybersecurity data goes completely unused

“There's far too much data, and actually the majority of it, you know, greater than 90%, Isn't actually used at all.”

Liz Maida Jul 13, 2017 ▶ 3:41 Graph Theory and Cybersecurity Data // Liz Maida, Uplevel Security (FirstMark's Data Driven)

Assertion Not checkable as stated

Maida: Cybersecurity analysts waste significant time on manual copy-paste queries

“The gap in the technology that they have today means that that's not how they're actually spending a lot of their time. Like a lot of their time is actually copying and pasting things to see if they're on a known bad list or running who is queries and the like…”

Liz Maida Jul 13, 2017 ▶ 15:52 Graph Theory and Cybersecurity Data // Liz Maida, Uplevel Security (FirstMark's Data Driven)

Insight

Maida: Graph databases excel at relationships but struggle with metadata and counts

“While the graph databases are really efficient and really good at storing the relationships between the various entities, they are not as good at doing things like storing additional metadata or quickly retrieving counts and the like.”

Liz Maida Jul 13, 2017 ▶ 16:40 Graph Theory and Cybersecurity Data // Liz Maida, Uplevel Security (FirstMark's Data Driven)

Assertion Supported

Liz Maida: Akamai operates 230,000 servers processing petabytes of daily data

Liz Maida Jul 13, 2017 ▶ 0:48 Graph Theory and Cybersecurity Data // Liz Maida, Uplevel Security (FirstMark's Data Driven)

Appearances (1)

Episode	Date	Speaking time
Graph Theory and Cybersecurity Data // Liz Maida, Uplevel Security (FirstMark's Data Drive	Jul 13, 2017	16m

Liz Maida

The record, in short

Their most notable supported claim

How they sound: speaking style how? →

Appearances (1)

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