Power SOC agents with the data they need
AI agents can finally operate at scale in the SOC when they have clean, structured, and enriched security data. Beacon provides the data layer that allows AI agents to triage, correlate, and investigate incidents faster, more consistently, and with far less analyst effort.
Show me howScale Your Agentic SOC with Better Security Data
Multiply SOC capacity
Beacon enables AI agents to handle more alerts, investigations, and correlations in parallel, allowing teams to scale operations without linear headcount growth.
Unlock investigative AI to reduce MTTR
Enriched, correlated data helps agents reach correct conclusions instead of looping or escalating unnecessarily.
Standardize investigation quality
Beacon ensures every agent works from the same structured context, producing consistent, explainable results across incidents and shifts.
How Beacon Powers Your SOC with Agent-Ready Context
Beacon transforms raw telemetry into structured, normalized security data and resolves entities across sources, giving agents a reliable foundation for reasoning and decision-making.
Beacon correlates signals across cloud, identity, SaaS, endpoint, and network data as events stream in, allowing agents to act immediately instead of waiting on repeated historical queries.
Agents receive curated bundles of raw logs, normalized events, asset and identity context, and source metadata, enabling end-to-end investigations without manual enrichment.
Support SIEM-native agents, standalone AI tools, or custom agent frameworks through APIs and MCP, without duplicating ingestion or re-architecting pipelines.
.png)
.png)
Beacon's security-driven data platform optimizes terabytes of important security logs spanning many sources. Data arrives enriched and normalized, and in the case of bloated VPC flow logs, reduced to 5% of their original size, enabling our security team and AI workflows to act immediately and effectively. We no longer choose between coverage and cost efficiency. We now have both, supported by a responsive team of security data experts.
Frequently Asked Questions
An agentic SOC uses AI agents to assist or autonomously perform security operations tasks such as alert triage, investigation, correlation, and response. This allows teams to operate faster and at greater scale.
Beacon provides the optimized, normalized, and contextual data foundation that allows agents to operate independently and consistently. This enables teams to increase alert throughput, reduce MTTR, and handle more incidents without adding staff.
Agentic SOCs rely on automated reasoning and action, which makes accuracy foundational.Beacon improves accuracy by ensuring agents operate on clean, normalized, and context-rich data. It resolves inconsistencies across sources, preserves historical and environmental context, and reduces noise before decisions are made. This helps prevent false positives, missed detections, and incorrect automated actions as SOC workflows become more autonomous.
No. Beacon works alongside your existing SIEM and AI SOC tools, but it addresses a critical gap they depend on.
As SOCs adopt more autonomous workflows, the quality and consistency of the underlying data becomes a limiting factor. SIEMs and AI tools can only reason and act on the data they receive. Beacon provides a consistent, enriched data and context layer that reduces noise, resolves inconsistencies, and ensures agents operate on accurate, shared information. Without this foundation, automation accelerates existing blind spots rather than fixing them.
Yes. The same structured data that powers agentic workflows also improves human investigations, onboarding, and consistency across the SOC.
Most teams see measurable improvements in investigation speed and agent effectiveness within days, thanks to Beacon’s production-ready pipelines and pre-built security logic.
