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Greg Paynter | Identity Control Planes for Regulated Environments — 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
nessort.net ↗	70 match 1 shared topics	Nessort \| Control-Driven Identity Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
teronsecurity.com ↗	69 match 1 shared topics	Teron — Microsoft security control plane for MSPs	en	information-and-network-security	robotsllmsaihumans	emailphone	none
keepersecurity.net ↗	68 match 1 shared topics	Keeper Security \| Identity Security for Humans, Machines and AI Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
keepersecurity.com ↗	68 match 1 shared topics	Keeper Security \| Identity Security for Humans, Machines and AI Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ztguard.com ↗	68 match 1 shared topics	ZTGuard by Zinex Security — AI-aware Zero Trust control plane	en	information-and-network-security	robotsllmsaihumans	emailphone	none
datamotion.com ↗	68 match 1 shared topics	Secure Data Exchange for Regulated Organizations \| DataMotion	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
ashlin.com.au ↗	67 match 1 shared topics	Ben Ashlin — Identity Security Consulting	Australia en	information-and-network-security	robotsllmsaihumans	emailphone	none
airlock.ing ↗	67 match 1 shared topics	Airlock — Identity & Policy Enforcement for AI Agents	en	information-and-network-security	robots llmsaihumans	emailphone	none
2mcctv.com ↗	67 match 1 shared topics	Advanced Security for High-Risk Environments \| 2M Technology	United States~ en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
2mtechnology.net ↗	67 match 1 shared topics	Advanced Security for High-Risk Environments \| 2M Technology	United States~ en	information-and-network-security WordPress WooCommerce	robots llmsaihumans	emailphone	partial · 7
deepintshield.com ↗	67 match 1 shared topics	DeepintShield: AI Security and Agentic Control Plane	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
dealershipsecure.com ↗	67 match 1 shared topics	Compliance + Cybersecurity for Regulated SMEs \| CyberNova	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cryptonid.tech ↗	67 match 1 shared topics	Crypton \| Identity Redefined	en	information-and-network-security	robotsllmsaihumans	emailphone	none
akaidentity.io ↗	67 match 1 shared topics	AKA Security \| Identity-driven security agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cygrid.io ↗	67 match 1 shared topics	Cygrid \| Enterprise Identity Risk Intelligence Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mccidentity.com ↗	66 match 1 shared topics	MCC IDENTITY – Biometric Identity Verification for Government & Enterprises	en	information-and-network-security	robotsllmsaihumans	emailphone	none
defender.net ↗	66 match 1 shared topics	Enterprise 2FA Solutions \| Defender \| One identity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
zynsec.com ↗	66 match 1 shared topics	ZynSec \| IAM & IGA Consulting Experts in Identity Security	en	information-and-network-security	robotsllmsaihumans	email phone	partial · 8

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.