Key Capabilities / Features

AI-Driven Ontology and Classification: Automatically categorizes and prioritizes security events into actionable categories (e.g., Normal, Abnormal, and Detection) using a proprietary security knowledge model that embeds human expertise into AI, ensuring precision and relevance​​.

Noise Reduction and Prioritization: Filters out 99% of irrelevant data while retaining everything crucial for compliance, enabling security teams to focus on the critical 1% of events that truly matter​.

Context Enrichment and Correlation: Enhances security data with contextual insights, linking related events and providing detailed semantic descriptions to uncover patterns and reduce investigation time​​.

Real-Time Scalable Analytics: Processes massive volumes of data at petabyte-per-hour scales with hybrid vector embeddings, allowing rapid detection, classification, and prioritization of security events​​.

Dynamic AI Adaptability: Eliminates the need for manual playbooks or rules by continuously learning and updating itself, ensuring it evolves with emerging threats without increasing maintenance overhead​​.
Explainable AI Insights: Provides transparent justifications for every decision by mapping events to ontology categories, enabling confident and faster analyst responses​.

Seamless Integration and Cost Optimization: Ingests data from 350+ sources and integrates effortlessly with SIEMs, XDRs, and data lakes while reducing storage and operational costs by optimizing where data is retained and processed​​.

Enhanced SecOps Efficiency: Automates deduplication, alert correlation, and ranking to accelerate incident triage and threat hunting, empowering analysts with actionable insights and reducing alert fatigue​​.

How we are different

Unmatched AI-Powered Ontology for Context and Precision: Auguria's Security Knowledge Layer (SKL) is built on a proprietary AI-driven ontology framework that goes beyond traditional rules-based systems. Embedding human expertise directly into AI models provides rich semantic context for each security event, classifying and prioritizing data with unparalleled accuracy. This enables security teams to instantly focus on the critical 1% of events that matter while eliminating 99% of noise,effortlessly transforming chaotic data into actionable insights​​.

Seamless, Cost-Efficient Integration Across Security Stacks: Unlike competitors that rely on rigid playbooks, Auguria's SKL dynamically adapts, requiring no manual tuning. It supports data from over 350 security products and operates as a connective layer between SIEMs, XDRs, and data lakes, streamlining security operations and cutting data storage costs. Its hybrid vector database allows for ultra-scalable event classification, making it the only platform capable of delivering security analytics at petabyte-per-hour scale while reducing the complexity and cost of traditional solutions​​.

Automated, Explainable Security Insights at Scale: Auguria's ability to enrich, classify, and prioritize events is powered by its real-time embedding pipeline and hybrid vector analysis. This system highlights anomalies and explains them with clear justifications, giving analysts actionable context. Automating tedious tasks like deduplication, alert correlation, and prioritization reduces alert fatigue and allows security teams to focus on high-value activities, positioning SKL as a transformative force in AI-driven SecOps​​.