Auguria, Inc. Security Knowledge Layer
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Auguria, Inc. Security Knowledge Layer
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Additional Info
Company | Auguria |
Website | https://auguria.io/ |
Company size (employees) | 10 to 49 |
Headquarters Region | North America |
Overview
The Auguria Security Knowledge Layer™ (SKL) is designed to address the challenge of data overload faced by modern Security Operations Centers (SOCs). It is engineered to automatically ingest, classify, and prioritize vast amounts of security telemetry data, enabling organizations to focus on the critical 1% of information that matters most. By leveraging advanced artificial intelligence and a proprietary ontology framework the SKL minimizes noise and enhances actionable insights for rapid decision-making.
At its core, the SKL employs AI-powered classification and prioritization mechanisms. Using vector embeddings, it organizes security events into hierarchical categories, enriched with context to enable deeper human understanding and faster incident triage. Events are labeled into actionable tiers: Normal, Abnormal, and Detection with variable scaled scoring within each tier. This layered approach equips SecOps with low-friction information for pinpointing high-priority threats while ensuring comprehensive coverage.
Unlike traditional tools that rely on rigid rules and manual configurations, the Auguria SKL uses dynamic data science models to mathematically coalesce inbound security events, telemetry, and logs eliminating the need for constant rule maintenance. This adaptability reduces analyst workloads by 35% on average eliminating onerous data wrangling and optimizes storage and operational costs by automatically diverting non-critical data to less expensive storage. It supports data from over 350 security products and integrates with security operations technologies, including SIEM, XDR, and security data lakes, helping users to break open vendor silos to build optimized security operations architectures.
Key Capabilities / Features
Automated Data Triage and Reduction: The Auguria SKL can handle petabytes-scale daily input of security event data, automatically filtering out noise while preserving and prioritizing the critical, actionable insights. This ensures SOC analysts focus only on high-priority threats.
Alert Prioritization: Events are automatically categorized into actionable tiers (Normal, Abnormal, and Detection), with each event assigned a ranking score. This prioritization accelerates incident response and reduces alert fatigue.
Dynamic Classification Models: The SKL continuously adapts to new event types and evolving data sources without requiring manual tuning, playbook creation, or rule maintenance, streamlining SOC workflows and reducing operational overhead.
Contextual Enrichment: By mapping every event to a proprietary three-layer ontology, the SKL adds meaningful context, providing SOC teams and automation workflows with clear, actionable explanations and detailed insights to expedite decision-making.
Explainability Graph Event Correlation: Automatically correlates related events across heterogeneous data sources, offering SOC teams a consolidated, high-fidelity view of potential threats for faster triage and root-cause analysis.
Guided Threat Hunting: Augments threat-hunting workflows by providing pre-classified, enriched, and contextually prioritized data, enabling analysts to investigate anomalies with confidence and efficiency.
Explainable AI for Analyst Trust: Provides clear justifications for all automated decisions, allowing SOC analysts to trust and validate AI-driven insights effortlessly.
How we are different
AI-Driven Precision with Human Expertise: Auguria’s Security Knowledge Layer combines advanced AI with real-world security expertise. Its proprietary ontology and vector embeddings ensure deep contextual understanding of security events, allowing it to automate classification and prioritization without relying on manual rules or playbooks.
Focus on the Critical 1% of Data: Unlike traditional solutions, Auguria eliminates 99% of security noise and highlights the most actionable insights. By categorizing and prioritizing events into tiers (e.g., Normal, Abnormal, and Detection), it reduces alert fatigue, accelerates investigations, and optimizes costs by focusing on the most impactful data.
Frictionless Integration and Cost Efficiency: Auguria integrates with existing platforms like SIEM, XDR, and data lakes, enhancing their capabilities without requiring extensive reconfiguration. It also reduces storage and processing costs by compacting data intelligently, offering unparalleled ROI and making cutting-edge security accessible to enterprises of all sizes.
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