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AI infrastructure

CyberFend

Cyberfend offers a robust security solution to protect your web and mobile applications from sophisticated attacks and fraudulent activity. Cyberfend's solution detects account take-over, payment fraud and the use of stolen credentials. All of these problems are relevant to every consumer facing web and mobile product/service. Cyberfend’s solution uses a new security paradigm – human cognitive science coupled with advanced machine learning. The result is a robust detection system with near zero

sources
1
Evidence entries preserved.
affiliations
1
Y Combinator
competitors
6
Mapped from High Signal graph features.
status
generated
D1 lookup
last updated
2026-07-15
16:41 UTC
source evidence
Why this company exists here

Y Combinator

yc-company-directory #3573

Cyberfend offers a robust security solution to protect your web and mobile applications from sophisticated attacks and fraudulent activity. Cyberfend's solution detects account take-over, payment fraud and the use of stolen credentials. All of these problems are relevant to every consumer facing web and mobile product/service. Cyberfend’s solution uses a new security paradigm – human cognitive science coupled with advanced machine learning. The result is a robust detection system with near zero

source
generated read
High Signal interpretation

CyberFend is classified as AI infrastructure from source descriptions and fund-directory context. Similar companies below are ranked from offline product facets and meaningful description overlap; category and source affiliation can only strengthen an existing product match. For lookup-created rows, the profile starts as pending enrichment until deeper source collection runs.

offline extraction
Product facets
account take-overpayment fraudCyberFendadvanced machine learninghuman cognitive sciencesophisticated attacks and fraudulent activity
mapping method
Similarity graph

Local clusters rerank extracted product concepts and description terms. The generated graph remains the fallback for sparse descriptions: offline reciprocal product-similarity graph: extracted concepts + description terms + bounded category/affiliation boosts. Minimum fallback score: 0; max competitors: 6.

discovery cluster

Companies similar to CyberFend

AI infrastructure · 6 peers

A deterministic local cluster built from offline product facets and meaningful description terms. Category and selected-institution affiliation provide bounded tie-breaks. Open any peer to continue exploring its cluster.

Keyri

match 82

Keyri helps companies implement simple, secure anti-fraud and authentication solutions to delight users and keep bad actors off their platform. Keyri's mobile application and browser fingerprinting suite ties user identities to trusted devices, preventing fraudulent activity such as account opening, account takeovers, bot attacks, and referral/promo abuse. Keyri is able to establish an immutable device fingerprint for every device, alerting companies of any suspicious devices during sign up, log

shared extracted concept terms: account, attack; shared product terms: mobile, application, attack, fraudulent; shared product theme: security and compliance; shared affiliation: Y Combinator

Gecko Security

match 73

We built Gecko for teams that want to build secure code quickly without wasting time on security tools that don’t deliver results, or relying on one-time human pentests that quickly become outdated. Gecko uses AI to understand how your application should work, simulates relevant attacks to find critical vulnerabilities, and then verifies these vulnerabilities by exploiting them. It also helps you understand the risk of these vulnerabilities and applies a working fix to keep your code secure.

shared product terms: security, application, attack, these; shared product theme: security and compliance; same category: AI infrastructure; shared affiliation: Y Combinator

Veryfi, Inc.

match 71

Enterprise-grade document extraction and fraud detection — deploy in minutes via mobile SDKs or APIs. No ML expertise required. Turn receipts, invoices, checks and bank statements into automated expense tracking, instant payments, and fraud-protected transactions. Explore our Multi-Modal APIs: https://www.veryfi.com/apis/

shared extracted concept terms: payment, fraud; shared product terms: protect, mobile, payment, fraud; shared product theme: finance and payments, security and compliance; shared affiliation: Y Combinator

Wifi Dabba, Inc.

match 69

We enable humans & machines with internet connectivity at a price that they can afford. The inspiration for Wifi Dabba came from the founders working together for the last decade in the mobile application industry and realising the biggest reason for user churn being access to cheap and affordable internet access. From having worked on ground onboarding users and facing poor connectivity issues all the time, we took it on ourselves to fix the internet access problem for the common citizen. At Wi

shared extracted concept terms: machine, human; shared product terms: mobile, application, problem, facing; shared affiliation: Y Combinator

RASPIRE

match 69

RASPIRE is the first line of defense for applications against AI-powered fraud attacks, API abuse, and runtime threats. Unlike code scanners and pentesting tools that identify vulnerabilities before release, RASPIRE operates like a security expert running inside applications, monitoring, detecting, and blocking attacks 24/7 in real time. All without writing a single line of code.

shared extracted concept terms: fraud, attack; shared product terms: security, application, attack, detect; shared product theme: security and compliance; same category: AI infrastructure; shared affiliation: Y Combinator

Meticulous

match 57

Meticulous is a tool to automatically catch UI bugs in your web application with zero-effort. Install our JavaScript snippet onto production or staging and dev environments, which records user sessions by collecting clickstream and network data. When you post a pull request, Meticulous selects a subset of sessions which are relevant and simulates these against the frontend of your application. Meticulous takes screenshots at key points and detects any visual differences. It posts those diffs in

shared product terms: web, application, detect, take; shared affiliation: Y Combinator