Gurucul, a leader in data and security analytics, has launched the industry’s first AI-SOC Analyst, revolutionizing security operations centers (SOCs) with deep human-AI collaboration. Unveiled at Black Hat 2025, this solution automates alert triage, reduces mean time to resolution (MTTR) by 83%, and empowers analysts to focus on high-value threats.
Gurucul introduces AI-SOC Analyst for automated threat detection and response.
Reduces MTTR by 83% through autonomous alert triage and remediation.
Integrates with Sme AI copilot for enhanced data interpretation and queries.
Offers 24/7 monitoring, noise reduction, and cost-efficient scalability.
Transparent, explainable AI decisions build analyst trust and confidence.
Demonstrated at Black Hat 2025, booth #5233, and AI Summit, table 11.
Gurucul’s AI-SOC Analyst automates the triage of all alerts, extracting key artifacts, classifying them, and applying risk scores to prioritize or remediate threats, mimicking the expertise of seasoned human analysts. “As threats proliferate, alert fatigue, understaffed SOCs, analyst burnout, and increasing threat complexity remain pervasive problems,” said Saryu Nayyar, CEO of Gurucul. Integrated with Gurucul’s Unified Data and Security Analytics Platform, it leverages over 3,000 machine learning models to provide context-rich insights, reducing false positives through behavioral analysis and correlation. This enables SOC teams to focus on strategic tasks, cutting mean time to detection (MTTD) and MTTR significantly.
The AI-SOC Analyst offers 24/7 monitoring without fatigue, ensuring constant vigilance. It delivers faster threat detection by investigating alerts in seconds, automates Level 1 responses, and empowers Level 2 and 3 analysts with evidence-based recommendations. “Gurucul’s AI-SOC Analyst is a game changer for the SOC. It helps prioritize what matters, cuts through the noise, and stays ahead of an ever-changing threat landscape,” said Neda Pitt, CISO at Gurucul. The solution’s transparency ensures every decision is explainable, fostering analyst trust and continuous improvement. It also scales operations cost-efficiently, handling thousands of alerts without additional headcount, addressing the cybersecurity talent shortage.
Coupled with Gurucul’s Sme AI copilot, introduced in 2023, the AI-SOC Analyst enhances investigations by interpreting complex data, summarizing threat intelligence, and suggesting queries in natural language. “We are on a mission to empower SOC teams with the power and promise of AI, unlocking human potential with fewer distractions, controlled costs and complete context,” said Nilesh Dherange, CTO at Gurucul. This integration supports custom reports, multi-step workflows, and automated responses based on historical patterns, streamlining SOC operations and aligning with Gurucul’s vision for a self-driving Security Information and Event Management (SIEM) platform.
Gurucul’s AI-SOC Analyst, showcased at Black Hat 2025, marks a pivotal advancement in SOC automation, combining deep human-AI collaboration with scalable, transparent solutions. By reducing alert fatigue and enhancing threat response, it positions Gurucul as a leader in transforming security operations for enterprises facing complex cyber threats.
Gurucul is a security analytics company founded in data science that delivers radical clarity about cyber risk. We analyze enterprise data at scale using machine learning and native, secure artificial intelligence. Instead of useless alerts, you get real-time, actionable information about true threats. Our cloud-native platform is open and flexible, so it accommodates your environment and processes. Deploy it anywhere, use any data lake, and integrate it with any security tool.
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