#United States #Milpitas #Embed Security #AI SOC #Detection Engineering

Embed Security Enhances AI SOC Platform

Embed Security, a pioneer in artificial intelligence security operations center (SOC) solutions, recently announced substantial upgrades to its AI-driven platform. These enhancements allow security teams to customize their investigative processes and improve threat detection in a rapidly evolving cyber landscape. The new features, including customer-built investigation agents, expanded NoiseIQ™ Memories, and robust detection engineering capabilities, aim to put the power of AI in the hands of its users.

User-Centric AI Decision-Making

One of the standout features of the updated platform is the ability for security teams to teach the AI how they conduct investigations. This significant shift moves beyond traditional programming of workflows. Instead, analysts can share their investigative approaches, and Embed Security autonomously applies their knowledge during threat investigations. "Everyone is telling security teams to build agents. We think security teams should be teaching AI, not building it," remarked Seth Summersett, co-founder and CEO of Embed Security. This approach not only streamlines workflows but also fosters a collaborative environment between human analysts and AI.

Introduction of Customer-Built iSteps™

Central to this enhancement is the introduction of customer-built iSteps™, which empowers organizations to integrate their own expertise into the platform. This library combines deterministic logic with large language model (LLM) reasoning, ensuring that the AI's operations are consistent and reliable. By allowing analysts to verbalize their investigative processes in natural language, Embed translates these descriptions into executable actions that trigger automatically when needed. This feature enhances efficiency, as security teams no longer need to write complex AI workflows from scratch.

NoiseIQ™ Memories for Dynamic Context

Another critical advancement is the introduction of expanded NoiseIQ™ Memories, which provide a contextually rich understanding of an organization's environment. The platform no longer relies solely on static relationships; instead, it dynamically connects existing organizational knowledge with real-time investigative evidence. This evolution helps analysts make better-informed decisions based on ever-changing contexts, reducing the risk of oversight and enhancing the decision-making process during investigations.

Detection Engineering to Optimize Security

Moreover, the new Detection Engineering feature serves as a feedback loop that transforms the outcomes of investigations into tangible improvements in detection strategies. By analyzing alerts and leveraging insights gained from past cases, security teams can refine their detection capabilities across various domains, including endpoint security, cloud applications, email, and identity protection. According to Jeffrey Johns, CTO of Embed Security, "Every investigation Embed runs tells us something about the detection that triggered it. Detection Engineering closes that loop, turning investigation outcomes into actionable intelligence teams can use to improve the detections themselves."

About Embed Security

Founded in 2024 and based in Milpitas, California, Embed Security operates as the decision layer for modern SOCs, aiming to minimize the complexities and noise associated with security operations. With its expert team comprising professionals from leading cybersecurity organizations, such as Mandiant and Google, Embed Security harnesses advanced AI solutions to empower organizations to navigate the complexities of the digital threat landscape efficiently. Their innovative approach signifies a paradigm shift in the way cybersecurity teams operate, turning the challenge of detection and response into a streamlined, effective process.

With these advancements, Embed positions itself at the forefront of the cybersecurity industry, advocating for an evolved role of AI in security investigations. Learn more at embedsecurity.com.