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Idampundit alternatives & similar sites

IdAM Pundit - SailPoint ISC · MIM / FIM · PowerShell · Identity Engineering — 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
davidansa.com ↗	68 match 1 shared topics	David Ansa — IAM & Identity Security Consultant \| Okta, Entra, SailPoint	United Kingdom~ en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
1armada.com ↗	67 match 1 shared topics	1Armada - Digital Identity Platform for Critical Infrastructure	en	information-and-network-security	robotsllmsaihumans	emailphone	none
anomalousem.com ↗	67 match 1 shared topics	AnomalousEm \| Security Engineering	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
stackguard.io ↗	66 match 1 shared topics	Non-Human Identity Security Platform \| StackGuard	Singapore~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
d-cryptor.com ↗	66 match 1 shared topics	Cybersecurity \| ST Engineering	en	information-and-network-security	robotsllmsaihumans	emailphone	none
vinaes.co ↗	66 match 1 shared topics	Vinaes Code \| Security Engineering & Privacy Solutions	Colombia en	information-and-network-security	robotsllmsaihumans	emailphone	none
kdandy.com ↗	66 match 1 shared topics	kdandy - Security Engineer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
henilgandhi.com ↗	66 match 1 shared topics	Henil Gandhi \| Cybersecurity Engineer & Ethical Hacker	en	information-and-network-security	robotsllmsaihumans	emailphone	none
onaware.com ↗	66 match 1 shared topics	Onaware - Identity Management Experts	Ireland~ en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	email phone	none
0xsha.io ↗	66 match 1 shared topics	0xSHA · Security Research & Engineering	en	information-and-network-security	robotsllmsaihumans	emailphone	none
digitalidentity.ltd.uk ↗	66 match 1 shared topics	Digital Identity Ltd	United Kingdom en	information-and-network-security	robotsllmsaihumans	emailphone	none
kavennesh.com ↗	66 match 1 shared topics	Kavennesh Balachandar \| Cybersecurity Engineer Portfolio	en	information-and-network-security	robotsllmsaihumans	emailphone	none
trustid.ch ↗	66 match 1 shared topics	TrustID: the trusted Swiss digital identity (eID) \| TrustID	Switzerland en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
daon.com ↗	66 match 1 shared topics	The Digital Identity Trust Company - Daon	United States~ en	information-and-network-security WordPress	robots llmsaihumans	emailphone	none
davera.ai ↗	66 match 1 shared topics	daVera \| Governance Engineering	en	information-and-network-security	robotsllmsaihumans	emailphone	none
onchaindigitalidentity.com ↗	66 match 1 shared topics	OnchainDigitalIdentity.com — User-Owned Identity for the Open Web	en	information-and-network-security	robotsllmsaihumans	emailphone	none
detectionengineering.io ↗	65 match 1 shared topics	Detection Engineering Maturity Matrix	en	information-and-network-security	robotsllmsaihumans	emailphone	none
datapair.com ↗	65 match 1 shared topics	DataPair Identity Services	en	information-and-network-security	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.