Data vs Security AI moats

Security AI has the wider moat: an average of 79 out of 100 against 76 for Data AI, 3 points apart. They rank 1st and 3rd of 29 AI markets. Both rate a wide moat. Data is stronger on switching costs; Security on regulatory barrier and habit and retention. Data and Security are equally crowded (saturation 33).

Data updated · 739 products rated across both markets

Source by sourceCheck your product’s moat

76Data average moat, out of 100
79Security average moat, out of 100
3points between them
Securityhas the wider moat

Side by side

The two markets on FalcoScan's moat rating, crowding and threats. The better figure of each pair is in bold; for crowding, threats and the no-moat share, lower is better.

Data and Security AI compared on moat, crowding and threats
MeasureDataSecurityBetter
Moat ratingWide moatWide moat
Average moat76 of 10079 of 100Security, by 3 points
Rank among AI markets3 of 291 of 29Security, by 2 places
Main moatSwitching costsRegulatory barrier
Products with a wide moat81%84%Security, by 3 points
Products with no moat3%0%Security, by 3 points
Saturation (crowding)3333Even
Wrapper exposure2%0%Security, by 2 points
Platform dependency3636Even
Products rated391348

Moat sources

Each source and threat on a 0 to 100 scale, averaged across each market and rated against all AI markets.

SwitchingRetentionHard to copyRegulationEcosystem

Data, filled · Security, dashed

Where Data is stronger

  • Switching costs+5

Where Security is stronger

  • Regulatory barrier+37
  • Habit and retention+15
MeasureDataSecurity
Switching costsHow much time, data and retraining a customer would lose by moving to a rival.69Strong64Strong
Habit and retentionHow deeply the product sits in a daily routine or workflow.78Strong93Strong
Hard to copyDifferentiation from rivals, and how few products are thin layers over a public model.86Strong88Strong
Regulatory barrierCompliance work (health, finance, legal, privacy rules) a new entrant must clear first.48Moderate85Strong
EcosystemShare of products with a public API and with ten or more integrations.61Moderate58Moderate
Wrapper exposure (threat)Share of products whose core could be rebuilt on a public model in days. Higher is worse.2Low0Low
Platform dependency (threat)How much products rely on another company’s platform (a social network, a store, a search engine) to work. Higher is worse.36Some36Some

Widest moats in each market

The five products with the highest moat score in each market, shown as bands. Exact scores are on paid plans.

Widest moats in Data

  1. 01Cube Metrics LayerUniversal semantic layer for BI and AIWide moat
  2. 02dbt Semantic LayerDefine metrics once, use everywhereWide moat
  3. 03Glean EnterpriseEnterprise AI search across all your appsWide moat
  4. 04Apache Iceberg CloudOpen table format for massive analyticsWide moat
  5. 05Databricks AIUnified analytics for data engineering, ML, and generative AIWide moat

All of Data’s moat profile →

Widest moats in Security

  1. 01ApiiroAI application risk graphWide moat
  2. 02CrowdStrike Charlotte AIGenerative AI for cybersecurity workflowsWide moat
  3. 03Axonius CyberCybersecurity asset management platformWide moat
  4. 04CyeraAI data security posture managementWide moat
  5. 05Drata ComplianceAI-powered security compliance automationWide moat

All of Security’s moat profile →

More comparisons

Each market against its closest rivals by moat, and against the widest and narrowest markets. The figures are the two average moats.

Compare any two markets

Questions

Which has a wider moat, Data AI or Security AI?

Security AI, with an average moat of 79 out of 100 across 348 rated products, against 76 across 391 in Data AI. 84% of Security products have a wide moat, against 81% in Data.

Is Data AI or Security AI more crowded?

Data and Security are equally crowded (saturation 33). Saturation runs from 0 to 100 and measures how crowded a market is.

How do the moats of Data AI and Security AI differ?

Data's main moat is switching costs and Security's is regulatory barrier. Data leads on switching costs (+5). Security leads on regulatory barrier (+37) and habit and retention (+15).

Is Data AI or Security AI more exposed to wrappers?

Data AI: 2% of its products could be rebuilt on a public model quickly, against 0% in Security AI.

Which Data and Security AI products have the widest moats?

In Data: Cube Metrics Layer, dbt Semantic Layer and Glean Enterprise. In Security: Apiiro, CrowdStrike Charlotte AI and Axonius Cyber. Exact moat scores for every product are on FalcoScan's paid plans.

Cite and share

Quote a figure, link to the comparison or take the data for every market.

Citation

FalcoScan, “Data vs Security AI moats”, data updated 9 October 2026. https://falcoscan.com/moats/compare/data-vs-security

BibTeX
@misc{falcoscan_moats_compare_data_vs_security_2026,
  author = {{FalcoScan}},
  title = {Data vs Security AI moats},
  year = {2026},
  month = oct,
  howpublished = {\url{https://falcoscan.com/moats/compare/data-vs-security}},
  note = {Data updated 9 October 2026}
}
Link for your site

<a href="https://falcoscan.com/moats/compare/data-vs-security">Data vs Security AI moats (FalcoScan)</a>

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Every market’s moat rating, average, sources, threats and saturation, as a CSV or as Markdown with the method and definitions. Free to use with a citation.

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The figures refresh daily from the FalcoScan catalog. When you quote one, quote the date with it: .

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