Embed Security adds customer-taught investigation features to its AI SOC platform
Embed Security announced new capabilities that let security teams teach its AI SOC Platform how they investigate, what matters in their environment, and how to improve detections. The update introduces customer-built iSteps, expanded NoiseIQ Memories, and Detection Engineering, enabling teams to capture investigative expertise as natural-language, executable agents that run autonomously. Embed's approach emphasizes teaching AI operational expertise rather than requiring customers to program agent workflows; a decision layer applies taught expertise across investigations. The announcement focuses on product capabilities and does not describe vulnerabilities, exploitation, or operational incidents.
Detalhes técnicos
- Customer-built iSteps: Analysts describe investigation steps in natural language and Embed transforms that expertise into executable investigation agents that run on the platform's orchestration framework.
- NoiseIQ Memories: Extends organizational context by dynamically connecting evolving organizational knowledge with investigative evidence to enable context-aware decisions.
- Detection Engineering: Analyzes investigation outcomes to provide visibility into detection performance and recommends improvements to customer-authored detections across endpoint, cloud, email, and identity platforms.
Linha do tempo
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Embed Security adds customer-taught investigation features to its AI SOC platform
ler a análise desta fonte ocultar
Embed Security announced new capabilities that let security teams teach its AI SOC Platform how they investigate, what matters in their environment, and how to improve detections. The update introduces customer-built iSteps, expanded NoiseIQ Memories, and Detection Engineering, enabling teams to capture investigative expertise as natural-language, executable agents that run autonomously. Embed's approach emphasizes teaching AI operational expertise rather than requiring customers to program agent workflows; a decision layer applies taught expertise across investigations. The announcement focuses on product capabilities and does not describe vulnerabilities, exploitation, or operational incidents.
Technical Details
- Customer-built iSteps: Analysts describe investigation steps in natural language and Embed transforms that expertise into executable investigation agents that run on the platform's orchestration framework.
- NoiseIQ Memories: Extends organizational context by dynamically connecting evolving organizational knowledge with investigative evidence to enable context-aware decisions.
- Detection Engineering: Analyzes investigation outcomes to provide visibility into detection performance and recommends improvements to customer-authored detections across endpoint, cloud, email, and identity platforms.