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What is Kaminari Ad?

Kaminari Ad functions as an all-encompassing platform dedicated to ensuring the quality and security of advertisements for a variety of stakeholders, such as publishers, ad networks, SSPs, and DSPs. It performs meticulous evaluations of ad creatives, tags, landing pages, and redirect sequences across iOS, Android, and desktop platforms in more than 195 nations, successfully detecting and flagging harmful advertisements like malvertising, auto-redirects, and cloaking, in addition to scam and phishing landing pages, alongside any breaches of advertising policies; every finding is supported by solid evidence, which includes screenshots, request trees, and the specific rules that initiated the alerts. Users have the ability to create their own ad quality regulations using simple language, and they can incorporate their decisions into blocklists through a REST API and webhooks, facilitating seamless integration. Moreover, interaction with the system is possible via platforms such as Cursor or Claude by connecting to the official MCP server. Importantly, the service operates on a pay-per-scan model, providing users with flexibility tailored to their scanning requirements. This cutting-edge method not only empowers teams to uphold high standards of ad safety and quality but also reinforces the integrity of their digital advertising ecosystems. With such comprehensive tools at their disposal, stakeholders can effectively safeguard their audiences from malicious content.

What is DNSWatch?

WatchGuard DNSWatch is a cloud-based security solution that provides enhanced protection through DNS-level filtering, effectively identifying and blocking potentially harmful connections to shield both networks and employees from damaging attacks. Experts at WatchGuard analyze critical alerts and provide concise summaries that detail potential threats with thorough insights. In cases where phishing is a concern, if an employee accidentally clicks on a malicious link, DNSWatch promptly redirects them away from the dangerous site and offers educational materials to improve their awareness of phishing threats. As hackers frequently leverage DNS to target unsuspecting individuals, monitoring DNS requests is a viable strategy for detecting and preventing such attacks. By integrating DNS-level filtering into the Total Security Suite, DNSWatch introduces a vital layer of defense against malware infections. Moreover, any attempts by users to access known malicious DNS addresses are automatically blocked, ensuring a seamless user experience as they are redirected to a secure landing page. This proactive measure not only mitigates immediate threats but also promotes user education, fostering a more security-aware environment within the workplace. Ultimately, the combination of these features helps organizations maintain a robust defense against evolving cyber threats.

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Integrations Supported

6sense
Adobe Advertising Cloud
Amazon Web Services (AWS)
Array
Auvik
Barracuda Application Protection
Crucible
CyberArk Conjur
Employee Advocacy by Sprout Social
LevelBlue USM Anywhere
NETSCOUT nGeniusONE
Portnox Security
SecureW2
Secureworks
ServiceNav
SolarWinds Access Rights Manager
Splunk APM
Tableau
Titania Nipper

API Availability

API Availability

Pricing Information

Pay per scan
Free Version

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Kaminari Ad

Date Founded

2026

Company Location

Cyprus

Company Website

kaminari.ad

Company Facts

Organization Name

WatchGuard

Date Founded

1996

Company Location

United States

Company Website

www.watchguard.com/wgrd-products/security-services/dnswatch

Categories and Features

Ad Fraud Detection

Not specified

Categories and Features

DNS Security

Not specified

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