Beacon Security

What Beacon Security does

Beacon is a security data management platform that helps modern security teams manage security data to escape the tradeoff between coverage, context, and cost. It seamlessly collects, reduces, enriches, and routes security data, providing analysts and AI agents with the context and visibility to focus on security rather than data wrangling. The platform enables cleaner data, faster investigations, and smarter security at scale. Beacon is designed for agentic cybersecurity work, allowing users to detect, hunt, and protect at machine speed. It supports running security-vetted agents and building custom agents on infrastructure purpose-built for security. Beacon addresses challenges like attack chains collapsing to seconds, agents flying blind due to SIEM costs, and untrustworthy data. It fuses telemetry across vendors, automates normalization and enrichment, and provides an open harness for agentic workflows. The platform includes a growing library of agents tuned by offensive-security and nation-state veterans. Beacon was recognized as the winner of Best SaaS Security Solution at the 2026 Cloud Security Awards for its innovative approach to transforming fragmented, high-volume security telemetry into reliable, actionable intelligence. It provides a security-first approach to data management, embedding contextual enrichment, normalization, and operational intelligence directly into the data layer. Beacon's platform offers cloud-scale reliability, AI-ready security data pipelines, and continuous logging posture management, redefining security data as an active and strategic component of effective cloud security operations. The company believes that the next breakthrough in security will come from better data, building a unified, intelligent data layer that empowers defenders in an AI-driven world. Beacon's founders have backgrounds in Israeli Unit 8200, incident response, national cyber defense, and global technology leadership.

Products

• Beacon PlatformA security data management platform that collects, reduces, enriches, and routes security data for AI-native security operations. It provides an open harness for running and building agentic workflows.
• Agent LakeThe data layer purpose-built for agents, offering clean telemetry, full catalog, log retention time, and security context across every source.
• Agent RuntimeEnables building and running agents on an open harness, with support for MCP, CLI, and API.
• Transformation RecipesIntuitive, point-and-click methods for transforming and optimizing security telemetry, replacing manual data engineering work.
• Beacon FabricIncludes early Discovery capabilities to scan environments and surface SaaS coverage gaps through agentic workflows.

Key capabilities

• Seamlessly collect, reduce, enrich, and route security data
• Automated normalization and enrichment at scale
• Open harness for agentic workflows (detection engineering, investigation, posture, threat hunting, data coverage, logging posture, data optimization, shadow AI analysis)
• Library of agents tuned by offensive-security and nation-state veterans
• Native collection, integration, monitoring, and schema normalization across 150+ sources
• Cost optimization for security data
• Cloud-scale reliability
• AI-ready security data pipelines
• Continuous logging posture management
• Supports any security architecture (SIEM, data lake, warehouse, cloud storage)
• Preserves detections by mapping data to ECS, OCSF, ASIM, or custom schemas
• Detects and fixes schema drifts automatically
• Broad coverage for sources and destinations with pre-built and custom connectors
• Built-in monitoring and alerting
• 24/7 team of security data experts assisted by AI agents

Use cases

• Detect, hunt, and protect at machine speed
• Optimize terabytes of security logs
• Enable AI workflows in security
• Run agentic workflows for detection engineering
• Run agentic workflows for investigation
• Run agentic workflows for posture management
• Run agentic workflows for threat hunting
• Run agentic workflows for data coverage
• Run agentic workflows for logging posture
• Run agentic workflows for data optimization
• Run agentic workflows for shadow AI analysis
• Modernize security stacks without engineering bottlenecks
• Migrate SIEMs
• Onboard new security tools
• Enable agentic workflows
• Run multiple SIEMs and data lakes in parallel
• Add a data lake
• Move high-volume telemetry to cheaper storage
• Evaluate new security tools with real telemetry without disruption
• Run two SIEMs in parallel
• Route data to a tool temporarily during an incident (e.g., Jupyter notebook, search tool)
• Conduct vendor Proof of Concepts (POVs) with real production data
• Onboard new log sources quickly
• Improve detection coverage by surfacing SaaS coverage gaps
• Enrich identity investigations (e.g., tagging Okta users with 'Is Admin')
• Add threat intelligence for VPN and Tor nodes connecting to corporate assets
• Reduce VPC Flow Logs without compromising fidelity
• Power SIEM detections
• Power emerging AI-driven workflows

AI approach

Beacon Security provides a security data management platform for AI-native security. It enables security teams and AI agents to collect, reduce, enrich, and route security data. The platform includes an 'Agent Lake' for clean telemetry, an 'Agent Runtime' for building and running agents, and a library of pre-tuned agents. It uses AI practices for data engineering and security data management, and its AI agents assist a 24/7 team of security data experts.

Tech named: AI agents, AI-native security, AI workflows, AI-driven workflows, AI-powered automation, machine speed

Industries served

• Computer and Network Security
• Cloud-native businesses
• Insurance

What it says sets it apart

• Platform for AI-native security
• Infrastructure purpose-built for security
• Fuses telemetry across every vendor and automates normalization and enrichment at scale
• Open harness built for security work
• Agents that already know tradecraft, tuned by offensive-security and nation-state veterans
• Security-first approach to data management, embedding contextual enrichment, normalization, and operational intelligence directly into the data layer
• Cloud-scale reliability, AI-ready security data pipelines, and continuous logging posture management
• Separates the data layer from the analytics layer, collecting, normalizing, and routing data to any destination in the format it expects
• Ensures ownership of the data layer independently to avoid vendor lock-in
• Maps data to ECS, OCSF, ASIM, or any custom schema to preserve detections
• Detects upstream changes and adapts mappings automatically to fix schema drifts
• Custom connectors built in hours, not weeks
• Intuitive, point-and-click Transformation Recipes replace tedious, error-prone data engineering work
• Built-in monitoring, alerting, and 24/7 team of security data experts assisted by AI agents
• Founders from Israeli Unit 8200, incident response at Sygnia and Mitiga, national cyber defense, and global technology leadership at Team8

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.