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Confidentialcomputingconference alternatives & similar sites

Confidential Computing Summit | LF Events — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Information And Network Security →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
ambient.ai ↗	67 match 2 shared topics	Prevent security incidents with computer vision intelligence \| Ambient.ai	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
abadge.io ↗	66 match 2 shared topics	abadge \| The credential control plane for AI agents	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
identthub.com ↗	65 match 2 shared topics	IdentHub — Agentic AI for Identity Governance & Compliance	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
almit.io ↗	65 match 2 shared topics	Almit \| SOC 2 Compliance for AI Startups, Automated & Secure GRC platform	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
cybermassive.tech ↗	65 match 2 shared topics	CyberMassive \| Cybersecurity Consulting for Startups & AI Companies	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cyberstrategy.tech ↗	65 match 2 shared topics	CyberStrategy Consulting \| Identity, Software, and AI Automation	en	information-and-network-security	robotsllmsaihumans	emailphone	none
identity-sentinel.com ↗	65 match 2 shared topics	Identity-Sentinel – Discussing IAM and AI Security	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
identiko-pro.com ↗	64 match 2 shared topics	Identiko	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
idkite.ai ↗	64 match 2 shared topics	IdKite.ai - Secure Identity Verification for Regulated Industries	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
layeredguard.com ↗	64 match 2 shared topics	LayeredGuard — Zero-trust credential management for AI agents	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
astrix.security ↗	64 match 2 shared topics	Identity Security for AI Agents & NHIs \| Astrix Security	en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
crystalcomet.io ↗	64 match 2 shared topics	Crystal Comet Consulting	en	information-and-network-security	robotsllmsaihumans	emailphone	none
1id.com ↗	64 match 2 shared topics	1id.com — Hardware-Backed Identity for AI Agents & Relying Parties	en	information-and-network-security	robots llmsaihumans	emailphone	none
meetaembit.org ↗	64 match 2 shared topics	Aembit \| Agentic AI and Workload Identity & Access Management	en	information-and-network-security WordPress Lightspeed	robotsllmsaihumans	emailphone	none
meetaembitteam.org ↗	64 match 2 shared topics	Aembit \| Agentic AI and Workload Identity & Access Management	en	information-and-network-security WordPress Lightspeed	robotsllmsaihumans	emailphone	none
okta.be ↗	64 match 2 shared topics	Secure Identity for Employees, Customers, and AI \| Okta	Belgium en	information-and-network-security Adobe Experience Manager	robots llmsaihumans	emailphone	none
demoaembit.com ↗	64 match 2 shared topics	Aembit \| Agentic AI and Workload Identity & Access Management	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
identitly.com ↗	64 match 2 shared topics	Secure Identity for Employees, Customers, and AI \| Okta	en	information-and-network-security Adobe Experience Manager	robotsllmsaihumans	emailphone	none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
same category whether they sit in the same business / industry category.
content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.