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Sites similar to deercamp.ca

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Red Team Operations & Offensive Security Testing | AI Red Teaming Australia | Frontier Cyber — 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
preemptics.com ↗	73 match 2 shared topics	Preemptics \| AI Security Testing & Red Teaming Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
360sec.com ↗	72 match 2 shared topics	AI-Powered Cybersecurity Services — MDR, Red Teaming & AI Security Testing \| 360 Security Group	United States~ en	information-and-network-security	robotsllmsaihumans	emailphone	none
silentchainai.com ↗	71 match 2 shared topics	SILENTCHAIN AI — AI-Powered Offensive Security Platform	en	information-and-network-security	robotsllmsaihumans	emailphone	none
fjk-group.com ↗	70 match 2 shared topics	FJK Group · AI Solutions & Cybersecurity Consulting	en	artificial-intelligence	robotsllmsaihumans	emailphone	none
siberninja.com ↗	70 match 2 shared topics	Siber Ninja \| Offensive Security Platform & Cybersecurity Consulting	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 2
0eroshot.com ↗	70 match 2 shared topics	ZeroShot — Offensive Security Testing for AI Agents	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
deepwoodssec.com ↗	70 match 2 shared topics	Deep Woods Security \| Offensive Security & AI Security	en	information-and-network-security	robotsllmsaihumans	email phone	none
leetprotect.com ↗	69 match 2 shared topics	LeetProtect — Offensive cyber security, human-led. Built for the AI era.	en	information-and-network-security	robotsllmsaihumans	emailphone	none
silentbolt.com ↗	69 match 2 shared topics	Silent Bolt \| AI-Powered Offensive Security \| Silent Bolt	en	information-and-network-security	robotsllmsaihumans	emailphone	none
0xclaw.dev ↗	69 match 2 shared topics	Local AI pentesting for security teams	en	information-and-network-security	robots llmsaihumans	emailphone	partial · 7
sikroad.com ↗	69 match 2 shared topics	Escape: AI-Powered Offensive Security Platform	en	information-and-network-security Webflow	robotsllmsaihumans	emailphone	none
trycascoai.com ↗	69 match 2 shared topics	Autonomous Security Testing for Modern Applications \| Casco	en	information-and-network-security Spree Commerce	robotsllmsaihumans	emailphone	none
trysenseon.com ↗	68 match 2 shared topics	SenseOn \| AI Security Operations Platform	en	information-and-network-security	robots llmsaihumans	emailphone	none
ignaris.dev ↗	68 match 2 shared topics	Ignaris: Expert Cybersecurity & AI Solutions \| Ignaris	en	information-and-network-security	robotsllmsaihumans	emailphone	none
preseal.dev ↗	68 match 2 shared topics	preseal — Security testing for AI agents	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cytix.io ↗	68 match 2 shared topics	Cytix - AI-Powered Security Testing Platform	United Kingdom~ en	artificial-intelligence	robotsllmsaihumans	emailphone	none
estebancano.com.ar ↗	68 match 2 shared topics	Esteban Cano \| Offensive security, SaaS and applied AI	Argentina en	artificial-intelligence	robotsllmsaihumans	emailphone	none
cybersage.solutions ↗	68 match 2 shared topics	CyberSage \| AI-Powered Penetration Testing in Ireland	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 6

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.