Embed Agentic Security Platform
Autonomous investigation agents trained on real SOC cases to eliminate alert noise and false positives.
Autonomous investigation agents trained on real SOC cases to eliminate alert noise and false positives.
Pricing
Contact vendor
Deployment
SaaS / Cloud
Category
Cloud Security
Product description
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.
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