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Sites similar to prodsecops.com

Prodsecops alternatives & similar sites

ProdSecOps | Secure Cloud Migration & Operations — 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
prodsecapps.com ↗	76 match 2 shared topics	ProdSecApps \| Managed Application Security & Migration	en	information-and-network-security	robotsllmsaihumans	emailphone	none
travistma.com ↗	71 match 2 shared topics	Travis Ma \| Security Operations, Cloud Security, Governance, Risk, and Compliance Portfolio	en	information-and-network-security	robotsllmsaihumans	emailphone	none
sidsecops.com ↗	71 match 2 shared topics	SidSecOps \| AWS Security, CloudOps & Cost Optimization	en	cloud-computing	robotsllmsaihumans	email phone	none
lebinova.com ↗	70 match 2 shared topics	Lebinova \| Secure Cloud Workspaces for Regulated Teams	en	cloud-computing	robotsllmsaihumans	emailphone	partial · 8
priviocloud.com ↗	69 match 2 shared topics	PrivioCloud - Secure Cloud Storage	en	cloud-computing	robotsllmsaihumans	emailphone	none
myveekrypt.com ↗	69 match 2 shared topics	VaultSecure - Enterprise Cloud Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
siocle.com ↗	68 match 2 shared topics	Siocle: Secure Cloud Infrastructure and Cybersecurity Solutions \| SIOCLE	en	cloud-computing	robotsllmsaihumans	emailphone	none
mcsarathkumar.com ↗	68 match 2 shared topics	Sarathkumar MC - DevSecOps Professional & Cloud Security Specialist \| 16+ Certifications	India~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
nadahweb.com ↗	68 match 2 shared topics	NadahWeb — Cybersecurity & Cloud Solutions	United States~ en	information-and-network-security	robots llmsaihumans	email phone	none
bulletproof.net.au ↗	68 match 2 shared topics	AC3 – Leading Cloud Secure Solutions & Managed IT Services	Australia en	cloud-computing	robotsllmsaihumans	emailphone	none
bulletproof.com.au ↗	68 match 2 shared topics	AC3 – Leading Cloud Secure Solutions & Managed IT Services	Australia en	cloud-computing	robotsllmsaihumans	emailphone	none
dcassciso.com ↗	68 match 2 shared topics	David Cass \| IBM Cloud & SaaS Chief Information Security Officer	en	information-and-network-security Wix	robots llmsaihumans	emailphone	none
1trooper.com ↗	68 match 2 shared topics	1Trooper ERP Security \| Cloud ERP Security Platform	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
namitjagtiani.com ↗	67 match 2 shared topics	Namit Jagtiani – CLOUD \| NETWORKS \| SECURITY	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
csacongress.com ↗	67 match 2 shared topics	Events \| Cloud Security Alliance (CSA)	en	information-and-network-security	robotsllmsaihumans	emailphone	none
csacongress.org ↗	67 match 2 shared topics	Events \| Cloud Security Alliance (CSA)	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ibondarenko.com ↗	67 match 2 shared topics	Ievgen Bondarenko - Detection Engineering & Cloud Security	en	cloud-computing	robotsllmsaihumans	emailphone	none
siesvu.com ↗	67 match 2 shared topics	SIESVU BV — Cloud Security & Infrastructure Specialists	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.