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Semgrep App Security Platform | AI-assisted SAST, SCA and Secrets Detection — 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
scantonomous.com ↗	71 match 3 shared topics	Scantonomous — AI-Native Application Security Platform	en	artificial-intelligence	robots llmsaihumans	emailphone	none
meetbastion.dev ↗	70 match 3 shared topics	Bastion \| AI-native Compliance & AI-ready Security Platform	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 5
gardera.io ↗	68 match 3 shared topics	Gardera Security \| AI-Powered Product Security	en	information-and-network-security	robotsllmsaihumans	emailphone	none
dpplr.dev ↗	68 match 3 shared topics	Doppler \| Secrets management for humans and AI agents	en	information-and-network-security Sanity	robotsllmsaihumans	emailphone	none
dpppler.com ↗	68 match 3 shared topics	Doppler \| Secrets management for humans and AI agents	en	information-and-network-security Sanity	robotsllmsaihumans	emailphone	none
marwizvision.com ↗	67 match 3 shared topics	AI-Based Security & Smart Surveillance Software \| Marwiz	India~ en	information-and-network-security	robotsllmsaihumans	email phone	none
deploydirector.com ↗	66 match 3 shared topics	AI Data, Cybersecurity & Platform Modernization \| Quest Software	en	artificial-intelligence Drupal	robotsllmsaihumans	emailphone	none
aibom.dev ↗	65 match 3 shared topics	AIBOM - Bulk AI Security Scanner for GitHub Organizations	en	artificial-intelligence	robotsllmsaihumans	emailphone	partial · 8
savageciso.com ↗	65 match 3 shared topics	SavageCISO \| AI-Powered vCISO Platform for MSPs, MSSPs, & MIPs	en	information-and-network-security	robotsllmsaihumans	emailphone	none
aiappscan.com ↗	65 match 3 shared topics	AIAppScan \| Automated DAST Scanner for AI Applications	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
design-rite.com ↗	64 match 3 shared topics	Security System Design Software \| AI Proposals & Estimates \| DesignRight.ai	United States~ en	software-and-applications	robotsllmsaihumans	emailphone	partial · 8
digicrypsis.com ↗	64 match 3 shared topics	Digicrypsis — Scan Smarter. Fix Faster. Ship Safer.	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
agniwall.com ↗	64 match 3 shared topics	Agniwall Security Software	en	software-and-applications	robotsllmsaihumans	emailphone	none
scanyoursecurity.com ↗	63 match 3 shared topics	Enterprise Software, AI & Cyber Security — Gulf & Europe · Arekan Software	en	software-and-applications	robots llms aihumans	email phone	full · 19
garak.ai ↗	63 match 3 shared topics	garak: LLM vulnerability scanner	en	information-and-network-security	robotsllmsaihumans	emailphone	none
deterbot.com ↗	62 match 3 shared topics	DeterBot: ComplianceBot - Governance, Risk, and Compliance AI Assistant v0.0.9	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
cve2metric.tech ↗	62 match 3 shared topics	cve2metric	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
ai-setter.com ↗	62 match 3 shared topics	DocumentClear - Enterprise Document Signing & Identity Verification	en	software-and-applications	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.