
Bright Data holds the title of the leading platform for web data, proxies, and data scraping solutions globally. Various entities, including Fortune 500 companies, educational institutions, and small enterprises, depend on Bright Data's offerings to gather essential public web data efficiently, reliably, and flexibly, enabling them to conduct research, monitor trends, analyze information, and make well-informed decisions.
With a customer base exceeding 20,000 and spanning nearly all sectors, Bright Data's services cater to a diverse range of needs. Its offerings include user-friendly, no-code data solutions for business owners, as well as a sophisticated proxy and scraping framework tailored for developers and IT specialists.
What sets Bright Data apart is its ability to deliver a cost-effective method for rapid and stable public web data collection at scale, seamlessly converting unstructured data into structured formats, and providing an exceptional customer experience—all while ensuring full transparency and compliance with regulations. This commitment to excellence has made Bright Data an essential tool for organizations seeking to leverage web data for strategic advantages.
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Criminal IP's Attack Surface Management (ASM) is an intelligence-driven platform designed to continuously identify, catalog, and oversee all internet-connected assets linked to an organization, including overlooked and shadow resources, enabling teams to understand their actual external exposure from the perspective of potential attackers. This solution integrates automated asset detection with open-source intelligence (OSINT) methods, artificial intelligence enhancements, and sophisticated threat intelligence to reveal exposed hosts, domains, cloud services, IoT devices, and other internet-facing entry points, while also collecting evidence such as screenshots and metadata, and linking findings to known vulnerabilities and attacker techniques. By evaluating exposures through the lens of business relevance and risk, ASM emphasizes vulnerable elements and misconfigurations, providing instantaneous alerts and interactive dashboards that facilitate quicker investigations and remediation efforts. Furthermore, this comprehensive tool empowers organizations to proactively manage their security posture, ensuring that they remain vigilant against emerging threats.
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VoyagerAnalytics
Every day, a vast quantity of publicly accessible unstructured data is generated across the open, deep, and dark web. For any investigation, the capability to extract immediate and actionable insights from this extensive data pool is essential. VoyagerAnalytics serves as an AI-driven analysis platform, specifically designed to sift through large volumes of unstructured data from various sources, including the open, deep, and dark web, as well as internal datasets, to uncover valuable insights. This platform empowers investigators to discover social dynamics and hidden relationships between various entities, directing attention to the most pertinent leads and essential information amid a sea of unstructured data. By streamlining the processes of data collection, analysis, and intelligent visualization, it significantly reduces the time usually required for these tasks, which could otherwise take months. Furthermore, it delivers the most crucial and significant insights in almost real-time, thereby conserving the resources that would typically be allocated to the retrieval, processing, and examination of extensive unstructured data sets. Ultimately, this innovation enhances the effectiveness and efficiency of investigations.
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SentVi
SentVi (formerly Sentinel Visualizer) is a Windows desktop link analysis application from FMS, Inc. that runs on Microsoft SQL Server, with SQL Express bundled for single-user installs and full SQL Server for multi-user deployments. It stores entities (people, places, events, phone numbers, accounts, IP addresses, hardware) and typed, weighted relationships in a shared knowledge base that scales to millions of records, then renders them as interactive link charts with automated layouts, social network analysis metrics (centrality, shortest path, clustering), a time-range slider down to the second, and geospatial views on ESRI ArcGIS, Google Earth, shapefiles, GeoTIFF, and offline maps. Data arrives through an Import Wizard from call detail records, financial exports, spreadsheets, and case files; Query Builder and Dataset Builder filter at the database level. The application runs fully offline, including air-gapped, and needs no cloud services. Browser and remote app access are available for viewing. Licensing is perpetual with concurrent-user options and no dongle; a free Reader opens saved charts without a database connection. First released in 2005 under the Sentinel Visualizer name with investment from In-Q-Tel.
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