The Good Tech Companies - Sweet Security Unveils Patent-Pending LLM-Powered Detection Engine

Episode Date: January 15, 2025

This story was originally published on HackerNoon at: https://hackernoon.com/sweet-security-unveils-patent-pending-llm-powered-detection-engine. By analyzing baseline behaviors across different entities and utilizing its LLM-powered detection engine, Sweet reduces cloud detection noise to 0.04%, helping Check more stories related to cybersecurity at: https://hackernoon.com/c/cybersecurity. You can also check exclusive content about #cybersecurity, #sweet-security, #cybernewswire, #press-release, #sweet-security-announcement, #cyber-security-awareness, #cyber-threats, #good-company, and more. This story was written by: @cybernewswire. Learn more about this writer by checking @cybernewswire's about page, and for more stories, please visit hackernoon.com. Sweet Security launches patent-pending Large Language Model (LLM) powered cloud detection engine. Engine can identify previously undetectable threats. Engine is capable of uncovering zero-day attacks and "unknown unknowns"

This audio is presented by Hacker Noon, where anyone can learn anything about any technology. Suite Security Unveils Patent-Pending LLM-Powered Detection Engine by Cyber Newswire, Tel Aviv, Israel, January 15, 2025 Cyber Newswire, Suite Security a leader in cloud runtime detection and response, today announced the launch of its groundbreaking patent-pending large language model, LLM, Power cloud detection engine. This innovation enhances Suite's unified detection and response solution, enabling it to reduce cloud detection noise to an unprecedented 0.04%. Suite uses advanced AI to help security teams navigate complex and dynamic environments with

improved precision and confidence. Detection of unknown UNK knowns The introduction of SWEET's patent-pending LLM technology transforms its ability to identify previously undetectable threats. By evaluating cloud variables and anomalies in real-time and adapting the findings to the nuances of the particular cloud environment, SWEET's cloud detection engine is capable of uncovering zero-day attacks and unknown unknowns, threats that have not been introduced or published to the world. This eliminates the need to predefine what constitutes abnormal or malicious behavior and streamlines the differentiation between unusual activity and actual attacks.

Fast validation, vindication of findings through incident label Suite's patent-pending LLM-powered cloud detection engine excels at distinguishing between weird but benign anomalous activity and genuine threats. Each incident is labeled as either malicious, suspicious, or bad practice, indicating whether the anomaly is indicative of an attack and requires further attention from SecOps or is an unusual but legitimate activity that needs to be reviewed by DevOps. Security teams can eliminate false positives, streamline workflows, and focus their attention where it matters most. The result is unparalleled operational efficiency and reduced alert fatigue. Actionability AT scale to ensure maximum usability. The new capability delivers

actionable insights through filled circle immediate mapping of danger zones in the environment through an intuitive heat map filled circle clear incident labeling providing context and clarity for security analysts filled circle identification of relevant problem owners within the organization streamlining incident response. This approach improves response times while promoting collaboration and accountability across teams. Scaling Application Detection and Response, ADR, in Dynamic Cloud Environments, suite's patent-pending LLM-powered cloud detection engine enables scalable application detection and response, ADR. It does so by cross-correlating potential attack patterns with extensive application data to identify the smoking gun,

those elusive signals in the data that are indicative of an attack. This capability brings clarity and precision to applications where the sheer volume of data would overwhelm rule-based approaches. Increased certainty for security teams with the introduction of this capability, SWEET continues to deliver on ITS' mission to provide clarity and control for cloud environments. By reducing noise, enhancing detection accuracy, and empowering actionable insights, Suite increases certainty within security teams, enabling them to operate with confidence in even the most complex cloud landscapes. This new capability is a game-changer for cloud security, said Dror Kashti, CEO of Suite Security.

By harnessing the power of LLMs, we're not only reducing detection noise to near zero levels but also providing security teams with the tools they need to act swiftly and decisively. This is a major leap forward in our commitment to delivering unparalleled detection and response for the cloud. Suite Security is dedicated to protecting customer privacy and adheres to strict privacy standards by processing data securely and responsibly. About Suite Security Suite Security is the leading provider of cloud-native detection and response solutions. Powered by comprehensive runtime insights and behavioral analytics, Suite's unified platform correlates data across application, workload, and cloud infrastructure to deliver best-of-breed real-time detections, as well as vulnerability management, identity

threat management, and runtime CSPM. By analyzing baseline behaviors across different entities and utilizing ITSL LM-powered detection engine, Suite reduces cloud detection noise to zero. 0.4%, helping organizations hit a benchmark of 2-5 minutes MTTR for all incidents. Privately funded, Suite is backed by Evolution Equity Partners, Munich Reventures, Glilett Capital Partners, CyberArk Ventures, and an elite group of angel investors. For more information, users can visit http://sweet.security.com. C-O-N-T-A-C-T-V-P of Marketing NOAA Glumshire Suite Security NOAA at Suite. Security.

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