DarkOwl, a leading provider of darknet data solutions, and Datastreamer, a platform that unifies unstructured data from multiple sources, are excited to announce their joint participation in the upcoming Big Data London 2023 event. The companies will demonstrate how their solution eliminates the data engineering hurdles of harmonizing darknet information with other data for wide-ranging intelligence insights.
While DarkOwl delivers comprehensive darknet data to cybersecurity teams and intelligence agencies, Datastreamer automates the data processing that fuses together disparate data for consolidated monitoring. With Datastreamer & DarkOwl’s combined solution, organizations can integrate dark web data without in-house engineering teams needing to maintain complex data pipelines. Furthermore, analysts can broaden coverage by merging additional web data including TikTok, Threads, news, forums and more. Previously raw unstructured data is federated for analysts to perform queries and real-time surveillance as easily as they would with structured data.
“Teams engaged in data product development for market insights, investment guidance, and fraud detection are increasingly interested in darknet data.” says David Strucke, CEO of Datastreamer. “It’s an honor for us to partner with a reputed leader in the dark web space to cater to these needs.”
Attendees of Big Data London are invited to stop by the Datastreamer booth – X653, under the Decision Intelligence Theater to see:
Considering that up to 90% of data is unstructured and the dark web holds essential information on threats to safety, both Datastreamer and DarkOwl share a vision of making complex data easier to act upon. With a bridge that makes these data types accessible – analysts are equipped with tools that cut out noise to pinpoint relevant information.
“Time is of the essence when it comes to threat detection and mitigation. Reducing the engineering burden of implementing darknet data enables organizations to redirect efforts towards in-depth analysis,” explains Mark Turnage, CEO of DarkOwl. “The technical agility delivered by Datastreamer’s platform will hasten the discovery of emerging threats and existing vulnerabilities aimed at brands or private individuals.”
With the complexity of bad actors operating across various platforms, blending darknet data with other web sources becomes an indispensable tool for a holistic threat assessment.
Datastreamer’s unstructured data pipeline platform sets engineering teams free from the most time-consuming aspects of data ingestion and transformation. Founded by data scientists and analytics experts, Datastreamer simplifies the integration of complex data sources that traditional ETL tools don’t support. Organizations are empowered to turn diverse data into ready-to-query insights with fully managed connectors from a network of data partners. As the backbone of industry-leading data products, businesses leverage Datastreamer to train specialized AI models, perform KYC/AML diligence, extract market insights, monitor threat intelligence, and more. For more information, visit www.datastreamer.io.
DarkOwl uses machine learning and human analysts to collect automatically, continuously, and anonymously, index and rank darknet, deep web, and high-risk surface net data that allows for simplicity in searching. DarkOwl is unique not only in the depth and breadth of its darknet data, but also in the relevance and searchability of its data, its investigation tools, and its passionate customer service. DarkOwl data is ethically and safely collected from the darknet, allowing users secure and anonymous access to information and threats relevant to their mission. For more information, contact us.