
Limitless security analytics and AI-powered detection across all your data, without migration.
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The Security Analytics Mesh (SAM) is Vega's core technology that allows for unified security analytics and detection across all data sources without requiring data movement or ingestion. Unlike traditional SIEMs that often necessitate shipping and storing all log data, SAM queries data at its source, eliminating associated costs, maintenance, and vendor lock-in.
Vega achieves instant results by utilizing its AI-Native Security Analytics Mesh (SAM) to perform source-level searches. This means it can query across all your datasets, whether on-prem, cloud, or hybrid, as if they were one, without the need for centralized ingestion or data migration.
Yes, Vega is designed to integrate seamlessly with your existing stack. It supports various storage models and allows you to extend your analytics programs without moving massive datasets or requiring custom mapping, ensuring compatibility with your current infrastructure.
Vega offers AI-powered detection engineering that enables the creation, deployment, and refinement of advanced detection-as-code programs across all analytic environments. Its AI translates and normalizes rules, sharpens detections, and unifies alerts and context from various sources for honest-to-goodness alert correlation.
Vega significantly reduces costs by eliminating the need to pay high rates for shipping and storing every byte of log data, a common expense with traditional SIEMs. It allows organizations to leverage low-cost storage for cold data without sacrificing performance or visibility, and extends analytics programs without expensive data movement or professional services.
Lyra is Vega's AI component that goes beyond automated investigations. It provides a seismic shift-left for security operations by continuously monitoring and improving every step of the SOC lifecycle. Lyra sees everything and doesn't wait for alerts to kick in, proactively enhancing security posture.
Source: vega.io