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Sites similar to provable.dev

Provable alternatives & similar sites

Provable: high-throughput cryptographic integrity for time-ordered data — 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
provenancelayer.io ↗	71 match 1 shared topics	Provenance Layer — Cryptographic Authenticity for Digital Media	en	information-and-network-security	robotsllmsaihumans	emailphone	none
attestedcall.com ↗	69 match 1 shared topics	AttestedCall - Cryptographic Identity for Voice Calls	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
astis.io ↗	69 match 1 shared topics	ASTIS — Cryptographic trust layer for business data	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 3
aticmc.org ↗	68 match 1 shared topics	Cryptographic Module User Forum	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cbomcompliance.com ↗	68 match 1 shared topics	NextGenRails™ \| CBOM Compliance — Cryptographic Software Integrity Receipts	en	information-and-network-security	robotsllmsaihumans	emailphone	none
crysm.net ↗	68 match 1 shared topics	Cryptographic Hashing & Security Tools \| CrysM.net	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
proven.dev ↗	67 match 1 shared topics	Proven.dev — Cryptographic Compute Verification	en	information-and-network-security	robotsllmsaihumans	emailphone	none
attestr.io ↗	67 match 1 shared topics	Attestr — The Cryptographic Audit Trail for Regulated Decisions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
provara.dev ↗	67 match 1 shared topics	Provara Protocol — Tamper-Evident Cryptographic Memory	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
auction-zama.org ↗	66 match 1 shared topics	Zama - Open Source Cryptography	en	information-and-network-security Contao	robotsllmsaihumans	emailphone	none
integritylabs.io ↗	66 match 1 shared topics	Home \| INTEGRITY Labs	en	information-and-network-security	robotsllmsaihumans	emailphone	none
5bsd.org ↗	66 match 1 shared topics	5BSD — Private Compute With Verifiable Integrity	en	information-and-network-security	robotsllmsaihumans	emailphone	none
neelanjanmanna.com ↗	66 match 1 shared topics	Dr. Neelanjan Manna — Cybersecurity · Privacy · Cryptography	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
0dq.io ↗	66 match 1 shared topics	0 Day Quantum - Post-Quantum Cryptography Readiness	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xahmadyousuf.com ↗	66 match 1 shared topics	Ahmad Yousuf - Security Researcher · Post-Quantum Cryptographer	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cryptomathic.com ↗	66 match 1 shared topics	Cryptomathic: Empowering Secure Cryptographic Solutions	en	information-and-network-security HubSpot	robotsllmsaihumans	emailphone	none
csrng.net ↗	65 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
cryptonid.tech ↗	65 match 1 shared topics	Crypton \| Identity Redefined	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.