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Cbomdirectory alternatives & similar sites

What is a CBOM? | Cryptographic Bill of Materials Explained — 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
keymaterial.net ↗	70 match 1 shared topics	Key Material – A Blog about Security and Cryptography	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
memoryinfrastructureregistry.org ↗	69 match 1 shared topics	MIR Assertions - Cryptographic Provenance for Media	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mirassertions.org ↗	69 match 1 shared topics	MIR Assertions - Cryptographic Provenance for Media	en	information-and-network-security	robotsllmsaihumans	emailphone	none
debust.com ↗	69 match 1 shared topics	debust.com — Cryptographic Receipts for the Internet	en	information-and-network-security	robotsllmsaihumans	emailphone	none
crysm.net ↗	69 match 1 shared topics	Cryptographic Hashing & Security Tools \| CrysM.net	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
keylength.net ↗	68 match 1 shared topics	Keylength - Cryptographic Key Length Recommendation	en	information-and-network-security	robotsllmsaihumans	emailphone	none
keylength.org ↗	68 match 1 shared topics	Keylength - Cryptographic Key Length Recommendation	en	information-and-network-security	robotsllmsaihumans	emailphone	none
csrng.net ↗	68 match 1 shared topics	Random Number Generator API \| NIST Certified cryptographically secure random number generator	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
true-lore.com ↗	68 match 1 shared topics	TrueLORE by Taffy Labs — Cryptographic Proof for Digital Media	en	information-and-network-security	robotsllmsaihumans	emailphone	none
sigilla.io ↗	68 match 1 shared topics	Sigilla — Cryptographic Proof Your Vendor's AI Stays Contained	European Union~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
0dq.io ↗	67 match 1 shared topics	0 Day Quantum - Post-Quantum Cryptography Readiness	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ledgerprove.com ↗	67 match 1 shared topics	LedgerProve — Cryptographic SBOM Verification	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 4
cryptomathic.com ↗	67 match 1 shared topics	Cryptomathic: Empowering Secure Cryptographic Solutions	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
cryptoquantumsafe.com ↗	67 match 1 shared topics	QuantumSafe \| Post-Quantum Cryptography Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
cryptoworks21.info ↗	66 match 1 shared topics	Home \| Cryptoworks21 \| University of Waterloo	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
cryptoworks21.org ↗	66 match 1 shared topics	Home \| Cryptoworks21 \| University of Waterloo	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
cryptoworks21.net ↗	66 match 1 shared topics	Home \| Cryptoworks21 \| University of Waterloo	en	information-and-network-security Drupal	robotsllmsaihumans	emailphone	none
cryptoworks21.ca ↗	66 match 1 shared topics	Home \| Cryptoworks21 \| University of Waterloo	Canada en	information-and-network-security Drupal	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.