Design vs Security AI moats
Security AI has the wider moat: an average of 79 out of 100 against 56 for Design AI, 23 points apart. They rank 1st and 20th of 29 AI markets. Security rates a wide moat and Design a narrow one. Security on regulatory barrier, switching costs, habit and retention, ecosystem and hard to copy. Security is less crowded, with a saturation of 33 against 41 for Design. On FalcoScan's data Security is both better protected and less crowded.
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.
| Measure | Design | Security | Better |
|---|---|---|---|
| Moat rating | Narrow moat | Wide moat | |
| Average moat | 56 of 100 | 79 of 100 | Security, by 23 points |
| Rank among AI markets | 20 of 29 | 1 of 29 | Security, by 19 places |
| Main moat | Hard to copy | Regulatory barrier | |
| Products with a wide moat | 5% | 84% | Security, by 79 points |
| Products with no moat | 44% | 0% | Security, by 44 points |
| Saturation (crowding) | 41 | 33 | Security, by 8 points |
| Wrapper exposure | 17% | 0% | Security, by 17 points |
| Platform dependency | 33 | 36 | Design, by 3 points |
| Products rated | 336 | 348 |
Moat sources
Each source and threat on a 0 to 100 scale, averaged across each market and rated against all AI markets.
Design, filled · Security, dashed
Where Design is stronger
No moat source more than 5 points ahead of Security.
Where Security is stronger
- Regulatory barrier+85
- Switching costs+30
- Habit and retention+30
- Ecosystem+27
- Hard to copy+17
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 Design
- 01Webflow DesignerVisual web design tool for professional designersWide moat
- 02RiveInteractive animation for apps and games, in real timeWide moat
- 03Relume WebsiteAI website builder for Figma and WebflowWide moat
- 04Rive Animation ProInteractive animations for apps and gamesWide moat
- 05FigmaThe collaborative design platform every product team usesWide moat
Widest moats in Security
- 01ApiiroAI application risk graphWide moat
- 02CrowdStrike Charlotte AIGenerative AI for cybersecurity workflowsWide moat
- 03Axonius CyberCybersecurity asset management platformWide moat
- 04CyeraAI data security posture managementWide moat
- 05Drata ComplianceAI-powered security compliance automationWide moat
More comparisons
Each market against its closest rivals by moat, and against the widest and narrowest markets. The figures are the two average moats.
Design against
Questions
Which has a wider moat, Design AI or Security AI?
Security AI, with an average moat of 79 out of 100 across 348 rated products, against 56 across 336 in Design AI. 84% of Security products have a wide moat, against 5% in Design.
Is Design AI or Security AI more crowded?
Security is less crowded, with a saturation of 33 against 41 for Design. Saturation runs from 0 to 100 and measures how crowded a market is. On FalcoScan's data Security is both better protected and less crowded.
How do the moats of Design AI and Security AI differ?
Design's main moat is hard to copy and Security's is regulatory barrier. Security leads on regulatory barrier (+85), switching costs (+30), habit and retention (+30), ecosystem (+27) and hard to copy (+17).
Is Design AI or Security AI more exposed to wrappers?
Design AI: 17% of its products could be rebuilt on a public model quickly, against 0% in Security AI.
Which Design and Security AI products have the widest moats?
In Design: Webflow Designer, Rive and Relume Website. 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.
FalcoScan, “Design vs Security AI moats”, data updated 9 October 2026. https://falcoscan.com/moats/compare/design-vs-security
@misc{falcoscan_moats_compare_design_vs_security_2026,
author = {{FalcoScan}},
title = {Design vs Security AI moats},
year = {2026},
month = oct,
howpublished = {\url{https://falcoscan.com/moats/compare/design-vs-security}},
note = {Data updated 9 October 2026}
}<a href="https://falcoscan.com/moats/compare/design-vs-security">Design vs Security AI moats (FalcoScan)</a>
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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