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Embed Agentic Security Platform

Security OperationsAI-Augmented Security Operations

Autonomous investigation agents trained on real SOC cases to eliminate alert noise and false positives.

Vendor Information

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Embed

Reno, NV, United States

Embed Agentic Security Platform Overview

Embed is an agentic security platform founded in 2024 by security practitioners Seth Summersett and Jeffrey Johns, who bring over 50 years of combined experience from Google, Meta, FireEye, Mandiant, and the NSA. Unlike generic AI SOC solutions that rely on off-the-shelf models, Embed's AI agents are purpose-built and trained on actual security investigations, enabling them to reason like expert SOC analysts while maintaining complete transparency into their decision-making process. The platform combines the speed of AI with the precision of human security expertise through proprietary iSteps technology that mirrors expert analyst workflows.

Embed's core innovation is iSteps, intelligent investigation modules that gather evidence, formulate and answer critical questions, and reason over results exactly as seasoned security professionals do. The platform features NoiseIQ, a dynamic knowledge base with intelligent ingestion that shapes what data moves forward in the pipeline, and Case Assistant, a purpose-built investigation tool that provides case-aware context without requiring analysts to restate endpoints, hashes, or alert IDs. This analyst-centered approach reduces repetitive tasks and enables teams to focus on high-value work like remediation, threat hunting, and learning while continuously adapting to new threats.

Backed by $6 million in seed funding from Paladin Capital Group and leading angel investors in November 2024, Embed serves customers in automotive, insurance, legal, and technology sectors. The platform integrates across the entire security stack to provide scalable, complete threat coverage with autonomous triaging, investigation, and prioritization while empowering analysts rather than replacing them. Embed's approach addresses the critical challenge of alert overload that overwhelms even the most sophisticated organizations, accelerating decision-making across the SOC through increased clarity, control, and confidence.

Key Capabilities

Standardized capabilities mapped to this product's security niche

Inserts AI-generated analysis, triage decisions, and enrichment into existing SIEM and SOAR case management workflows rather than requiring analysts to use a separate interface.

Assembles chronological attack timelines from raw events across multiple data sources automatically, reducing the time to build an initial incident narrative.

Applies ML classification to incoming alerts to filter false positives, group related events, and route high-confidence detections to analysts, reducing L1 analyst workload.

Accepts natural language queries over security telemetry and translates them to structured queries, enabling investigation without requiring analyst proficiency in SPL, KQL, or SQL.

Integrations

Compatible tools and platforms

Cloud Security ToolsEDR PlatformsEmail Security ToolsSecurity Orchestration PlatformsSIEM Platforms

Solution Details

Compliance & Certifications

Regulatory frameworks and security certifications

SOC 2 Type ISOC 2 Type II

Deployment Options

Where and how this solution can be deployed

CloudSaaS

Support Channels

Available support and communication options

DocumentationEmail Support

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