Agents vs Security AI moats
Security AI has the wider moat: an average of 79 out of 100 against 63 for Agents AI, 16 points apart. They rank 1st and 13th of 29 AI markets. Security rates a wide moat and Agents a narrow one. Security on regulatory barrier, switching costs, habit and retention and hard to copy. Agents is less crowded, with a saturation of 31 against 33 for Security. Security is better protected but more crowded; Agents is more open but easier to copy.
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 | Agents | Security | Better |
|---|---|---|---|
| Moat rating | Narrow moat | Wide moat | |
| Average moat | 63 of 100 | 79 of 100 | Security, by 16 points |
| Rank among AI markets | 13 of 29 | 1 of 29 | Security, by 12 places |
| Main moat | Hard to copy | Regulatory barrier | |
| Products with a wide moat | 10% | 84% | Security, by 74 points |
| Products with no moat | 20% | 0% | Security, by 20 points |
| Saturation (crowding) | 31 | 33 | Agents, by 2 points |
| Wrapper exposure | 18% | 0% | Security, by 18 points |
| Platform dependency | 32 | 36 | Agents, by 4 points |
| Products rated | 410 | 348 |
Moat sources
Each source and threat on a 0 to 100 scale, averaged across each market and rated against all AI markets.
Agents, filled · Security, dashed
Where Agents is stronger
No moat source more than 5 points ahead of Security.
Where Security is stronger
- Regulatory barrier+85
- Switching costs+22
- Habit and retention+22
- Hard to copy+11
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 Agents
- 01SierraConversational AI agents for customer experienceWide moat
- 02E2B Cloud SandboxCloud sandboxes for AI coding agentsWide moat
- 03E2B Code SandboxSecure sandboxes for AI-generated codeWide moat
- 04Letta CloudHosted stateful memory for AI agentsWide moat
- 05LangGraph CloudProduction platform for stateful multi-agent applicationsWide 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.
Agents against
Questions
Which has a wider moat, Agents AI or Security AI?
Security AI, with an average moat of 79 out of 100 across 348 rated products, against 63 across 410 in Agents AI. 84% of Security products have a wide moat, against 10% in Agents.
Is Agents AI or Security AI more crowded?
Agents is less crowded, with a saturation of 31 against 33 for Security. Saturation runs from 0 to 100 and measures how crowded a market is. Security is better protected but more crowded; Agents is more open but easier to copy.
How do the moats of Agents AI and Security AI differ?
Agents's main moat is hard to copy and Security's is regulatory barrier. Security leads on regulatory barrier (+85), switching costs (+22), habit and retention (+22) and hard to copy (+11).
Is Agents AI or Security AI more exposed to wrappers?
Agents AI: 18% of its products could be rebuilt on a public model quickly, against 0% in Security AI.
Which Agents and Security AI products have the widest moats?
In Agents: Sierra, E2B Cloud Sandbox and E2B Code Sandbox. 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, “Agents vs Security AI moats”, data updated 9 October 2026. https://falcoscan.com/moats/compare/agents-vs-security
@misc{falcoscan_moats_compare_agents_vs_security_2026,
author = {{FalcoScan}},
title = {Agents vs Security AI moats},
year = {2026},
month = oct,
howpublished = {\url{https://falcoscan.com/moats/compare/agents-vs-security}},
note = {Data updated 9 October 2026}
}<a href="https://falcoscan.com/moats/compare/agents-vs-security">Agents vs Security AI moats (FalcoScan)</a>
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