ReaQta-Hive, AI-Powered Threat Response
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ReaQta-Hive, AI-Powered Threat Response
Additional Info
| Company | ReaQta |
| Website | http://www.reaqta.com |
| Company size (employees) | 10 to 49 |
| Type of solution | Software |
Overview
ReaQta-Hive is a AI-powered Autonomous Detection & Response platform that leverages Dynamic Behavioral Analysis to identify and block the most advanced attacks, including zero day threats, in-memory malware and ransomware.
Equipped with proprietary NanoOS™, ReaQta-Hive delivers unprecedented visibility into processes and applications running on endpoints. It sits at the hypervisor layer and protects the endpoint from outside the operating system, making it invisible & tamper-free to malware and attackers.
While other EDR and endpoint solutions use ML based on pretrained models and analysis, ReaQta’s initial learning model identifies the normal behaviour of each endpoint, enabling greater accuracy in detections and alerts when there are deviations from the normal.
Consolidated on a single and elegant dashboard, ReaQta streamlines the work of security analysts by automatically mapping the relevant MITRE ATT&CK events to existing security alerts and threat hunting activities.
Unlike most other vendors that require analysts to monitor events and alerts so as to identify and augment results, ReaQta does not require the use of any managed service capabilities for detection.
How we are different
ReaQta-Hive stands out with 3 main differentiators.
-The first is ReaQta’s proprietary NanoOS technology which provides deep visibility into the processes and applications running on endpoints. The NanoOS sits at the hypervisor layer and protects the endpoint from outside the operating system, making it invisible to malware and attackers.
-The second differentiator is ReaQta’s innovative use of AI and ML in its AI-powered endpoint security platform, ReaQta-Hive. While other EDR and endpoint solutions use ML based on pre-trained models and analysis, ReaQta’s initial learning model identifies the normal behavior of each endpoint, enabling greater accuracy in detections and alerts when there are deviations from the normal. ReaQta’s proprietary use of dual-AI engines intelligently profile each client’s network and unique endpoints, delivering real-time threat detection and response at surgically precise accuracy rates.
-Thirdly, ReaQta's AI-powered Cyber Assistant autonomously handles alerts and drastically reduce the analyst’s workload by more than 80%. It is the industry's first one-shot learning system. By adopting one-shot learning, ReaQta’s Cyber Assistant is capable of learning an analyst’s decision instantly after seeing a given alert only once.
