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What is Social Links?

We compile data from more than 500 open sources, such as social media, messaging apps, blockchain networks, and the dark web, to produce an extensive visualization that significantly increases the efficiency of investigations. Utilizing over 1,700 search methods, users can perform in-depth inquiries across these varied sources. This functionality enables the extraction of intricate user profiles, contact details, messages, group information, and other relevant data. Additionally, users can conduct comprehensive analyses of transactions, addresses, senders, and recipients. Our platform offers a vast selection of cutting-edge search techniques, providing complete access to darknet marketplaces, forums, and numerous other resources. Moreover, we present a substantial collection of corporate data sources for more profound insights. All these data extraction and analytical features are effortlessly integrated into your internal platform through our API. We deliver a top-tier OSINT solution suitable for enterprises, with options for on-premise deployment, customization capabilities, secure data storage, and a wide variety of search techniques. Numerous organizations from the S&P 500 and law enforcement agencies in over 80 countries rely on the sophisticated solutions provided by Social Links, ensuring they stay ahead in investigative technology. Our dedication to innovation and the quality of our services continually empowers our clients to adeptly navigate the complexities of data landscapes while uncovering critical insights. As the landscape of open-source intelligence evolves, we remain committed to enhancing our offerings to better serve the needs of our users.

What is Serus?

Serus is an innovative privacy platform that leverages artificial intelligence to empower individuals to manage and oversee their personal information online, effectively reducing their exposure to privacy risks. By utilizing AI and open-source intelligence methodologies, the platform continuously scans both the surface and dark web to uncover instances of personal data presence, which may include search results, listings from data brokers, fake profiles, impersonation attempts, and AI-generated content that resembles a user's identity. This data is systematically compiled into an intuitive dashboard, offering users a detailed view of their digital footprint and the associated privacy threats. Additionally, what truly distinguishes Serus is its ability to automate the process of data removal, employing unique techniques to submit takedown requests, eliminate sensitive information from search engines, and reduce exposure from various platforms—all without requiring any manual intervention from users. In essence, Serus not only raises awareness of personal privacy issues but also streamlines the intricate task of safeguarding digital privacy in a world that is becoming increasingly interconnected and complex. By doing so, it equips users with the tools and insights necessary to protect their online identities more effectively.

Media

Media

Integrations Supported

Facebook
Instagram
LinkedIn
SL Crimewall
Snapchat
TikTok
X (Twitter)
YouTube

Integrations Supported

Slack
Telegram
WhatsApp

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

$15 per month
Free Version

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Social Links

Date Founded

2015

Company Location

United States

Company Website

sociallinks.io

Company Facts

Organization Name

Serus

Company Location

United States

Company Website

www.serus.ai/

Categories and Features

Crime Analytics

Not specified

Dark Web Monitoring

Not specified

OSINT

Not specified

Threat Intelligence

Not specified

Categories and Features

Dark Web Monitoring

Not specified

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