Gurucul, the most visionary Next-Gen SIEM,announced the launch of its new generative AI capability called Sme (Subject Matter Expert) to accelerate threat detection, supercharge security investigations and automate responses. Sme AI empowers Security Operations Center (SOC) analysts with powerful insights into a rich, correlated dataset across identity, security, network, enterprise and cloud platforms. It will improve SOC team efficiency and help counter the ongoing challenges of limited resources and skill sets, overwhelming alert fatigue, false positives and mis- or unprioritized alerts.
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“Gurucul was founded more than a decade ago on the idea that the application of ML and AI on large data was an enabler for cybersecurity. The recent widespread acceptance and use of Generative AI validates our continued investment and innovation in ML and AI”
Gurucul pioneered the use of AI and ML in cybersecurity with STUDIO, an open analytics framework which allows users to easily build advanced machine learning behavior models in-house and incorporate third-party AI frameworks and models into the platform. Gurucul also led the way with automated threat hunting capabilities, first announced in February 2020, which applied advanced ML algorithms to assess a wide range of behavioral attributes to identify anomalies, outliers and indicators of compromise.
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“Gurucul was founded more than a decade ago on the idea that the application of ML and AI on large data was an enabler for cybersecurity. The recent widespread acceptance and use of Generative AI validates our continued investment and innovation in ML and AI,” said Saryu Nayyar, CEO at Gurucul. “Sme AI is purpose-built to support analysts in their day-to-day activities and help them detect, investigate and respond to threats so they can stay ahead of adversaries. While attackers are using AI and manipulating common frameworks to build malware, the security community needs to invest and leverage purpose-built AI to fight this battle more effectively.”
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