With years of expertise in collecting and processing dark web data, we design big data platforms and create secure security solutions based on our experience in analyzing and responding to external cyber threats.
Enhancing our technological capabilities in various dimensions, we are building a wide range of data intelligence platforms. From enterprise tailored sLLM to external threat response solutions, discover our wide range of solutions designed to protect user assets and improve operational efficiency.
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The integration of AI and Big Data enables the secure centralization of data. In traditional work environments, where only experts had access to certain structured data within massive datasets, AI language models now allow all users to easily access the data they need from the entire dataset, according to their individual requirements. However, as data access becomes more convenient, the application of security technology is imperative to ensure the legitimacy of access permissions, prevent data breaches, guard against data tampering, and facilitate awareness or detection of such incidents.
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SAIP is an AI platform that integrates the sLLM (smaller Large Language Model) technology for enterprise-scale data, the RAG (Retrieval Augmented Generation) technology for utilizing appropriate content during result generation, and the Knowledge Graph technology for systematic management of knowledge data. When users pose questions, they receive answers based on the most contextually relevant data, irrespective of whether the data is structured or unstructured within the organization. Notably, by leveraging the security expertise of S2W, SAIP ensures a secure AI platform by minimizing vulnerabilities in LLMs, user accounts, storage, and networks, thereby guaranteeing a security-enhanced environment.
The integration of AI and Security enables the construction of automated security systems by incorporating various security expertise into AI models. This automation ensures that the system can adapt and respond flexibly through continuous learning, even in the face of data changes.
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DarkBERT is the world's first AI model that understands the dark web. It is the culmination of language model technology, a part of AI's capability to understand given contexts, combined with refined dark web data, leveraging the know-how from offensive and defensive activities in the security domain.
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QUAXAR is a CTI (Cyber Threat Intelligence) solution that collects, analyzes, and interprets cyber security-related threat information using AI technology, refining it to a level suitable for informed decision-making. To tackle the steadily increasing security threats, security experts continuously engage in research and analysis, which is then learned by the AI system.
The integration of Big Data and Security ensures that security capabilities are maintained at a high level, even as the volume of security-related data being analyzed increases.
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XARVIS is a dark web intelligence solution that combines real-time collection, filtering, processing, and search technologies for large-scale data with extensive security-related data from the dark web, deep web, and social channels. It enables the extraction and tracking of security intelligence from vast quantities of data that cannot be manually examined. Additionally, it allows for the combination, visualization, and analysis of various related security intelligences as required.
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EYEZ is a product that combines ledger tracking technology on large-scale blockchain transaction data with security threat information such as reputation information on the dark web and social channels, as well as sanction information from public institutions. This enables users to analyze the association and flow of various security threats and related illegal virtual assets.