
Aembit
Agentic Identity Access Platform Re-architecting IAM

RAD Security is an advanced cybersecurity platform built to modernize Security Operations Centers (SOCs) through the integration of specialized Artificial Intelligence. Designed to tackle the industry-wide challenge of alert fatigue, RAD Security features a 'Noise to Focus' engine that automatically triages thousands of incoming security alerts, filtering out benign anomalies to highlight genuine threats. The platform deploys 'AI Workers'—autonomous digital security analysts that continuously monitor, investigate, and respond to threats in real-time, functioning as an extension of the human team. For active incidents, the 'Evidence Room' provides a centralized, collaborative workspace where analysts can securely compile logs, forensic artifacts, and context. Additionally, the platform introduces RadQL, a proprietary, high-performance query language engineered specifically for deep threat hunting and complex security data interrogation. Built for seamless enterprise adoption, RAD Security includes a comprehensive integrations suite to connect with existing security stacks, all visualized through an intuitive 'Bento' dashboard to ensure security teams can operate with maximum efficiency and visibility.
RAD Security is an advanced cybersecurity platform built to modernize Security Operations Centers (SOCs) through the integration of specialized Artificial Intelligence.
Explore all tools that specialize in noise reduction via ai. This domain focus ensures RAD Security delivers optimized results for this specific requirement.
Explore all tools that specialize in real-time incident response. This domain focus ensures RAD Security delivers optimized results for this specific requirement.
Explore all tools that specialize in deep data interrogation with radql. This domain focus ensures RAD Security delivers optimized results for this specific requirement.
Autonomous algorithmic agents designed to perform continuous security monitoring, initial alert investigation, and context gathering.
Advanced filtering algorithms that process raw incoming alert streams to suppress false positives and benign environmental anomalies.
A secure, centralized digital workspace for aggregating logs, endpoint data, and forensic artifacts related to specific security incidents.
A proprietary, high-performance query syntax optimized specifically for rapid interrogation of vast, unstructured security datasets.
A Natural Language Processing (NLP) layer allowing users to interact with complex security data and platform features using plain English.
Connect existing data sources and SIEM tools via the Integrations module
Configure sensitivity thresholds for the Noise to Focus engine
Deploy and permission AI Workers for specific monitoring tasks
Train security analysts on RadQL syntax for custom threat hunting
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Agentic Identity Access Platform Re-architecting IAM
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