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Details

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Knowledge Grid Main Features

• Includes a Context Layer
  It remembers how your environment normally behaves, so AI can judge what is abnormal for you.
• Accelerates security analytics
  It speeds up threat detection and analysis using pre-built data science tools, reducing costs.
• Enables advanced anomaly detection
  It finds unusual activities or threats without needed predefined signatures or rules.
• Transforms raw telemetry at ingest
  It processes and structures data as soon as it is collected, so models can reason over it easily.
• Surfaces complex cross-vector threats
  It identifies threats that span across different parts of your infrastructure, which traditional tools might miss.
• Uses a hyper-scalable vector database
  It stores and manages large amounts of data to support AI analysis at scale.
• Uses the Temporal Data Grid technology
  It uses a patented system that structures data efficiently for fast and deep analysis.
• Provides a partner-ready delivery model
  It is designed for easy integration and deployment with partners and vendors.
• Offers natural language interface (KGQL)
  It allows users to ask and get information using simple language queries.
• Backed by expert research and development
  The SaaS is developed by knowledgeable scientists and engineers in cybersecurity, data science, and big data.
• Detects threats you don't know to look for
  It finds hidden threats using unsupervised detection methods without needing rules or prior knowledge.
• Provides a Cognitive Workbench environment
  It offers a workspace where security data becomes durable, environment-specific knowledge for better decisions.
• Supports multi-dimensional threat discovery
  It detects threats across multiple types and layers of security data.
• Captures full temporal shape of the environment
  It saves all the timing details of events to help AI see changes and patterns over time.
• Integrates easily with existing security stacks
  It works with your current security tools without needing major changes or re-architecture.
• Provides agentic AI automation for SOC workflows
  It automates security operations tasks, helping security teams respond faster and more accurately.
• Transforms security telemetry into AI-ready data
  The SaaS turns raw security data into structured information that AI can understand immediately.
• Built on mathematical foundations of Rough Set Theory
  It uses advanced math to understand relationships in data and improve accuracy.
• Supports automated feature selection and data enrichment
  It helps identify important data features and adds context automatically for better analysis.

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Technologies Used

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