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features
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support

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Description

LotusEye offers a cloud-based service for AI-driven anomaly detection that autonomously acquires knowledge of standard behavior from numerical or sensor data provided in CSV format and consistently computes anomaly scores to identify irregularities that could signify faults or unforeseen activities, delivering notifications and visual analytics without necessitating any machine learning expertise from users. The service accommodates both wide-format CSV files, where every row corresponds to sensor readings at specific timestamps, and long-format CSV files that include timestamp, sensor name, and value columns, allowing users to upload their data either through a simple drag-and-drop interface or via an API for automated processing on a scheduled basis. Once an AI model is trained using data from normal operations, users can then input test data to obtain calculated anomaly scores and view these results on dashboards featuring time-series graphs, threshold markers, and filtering options, which assist teams in identifying unusual trends and probing potential concerns swiftly. This streamlined process enhances operational efficiency and empowers teams to act on insights generated by the platform.

Description

We leverage pivotal runtime insights to sift through the overwhelming noise of cloud security and concentrate on the most significant risks. In today's environment, cybercriminals are skillfully infiltrating cloud systems while the prevalence of runtime risks continues to increase. Equip your organization with Sweet’s innovative, eBPF-based sensor to create a solid baseline for what constitutes normal activity in your cloud. This tool provides essential runtime insights that enhance operations throughout the entire cloud security framework. By utilizing Sweet’s dynamic profiling, you can identify and rectify runtime anomalies, effectively managing live threats in the cloud. The eBPF-based sensor delivers in-depth, real-time insights without compromising performance or incurring additional costs. Detect zero-day cloud attacks instantly, receive actionable intelligence on attacks, and experience minimal distractions. Sweet’s strategy significantly improves security teams' capacity to swiftly neutralize cloud threats as they arise, ensuring maximum accuracy and minimal disruption to business operations. Ultimately, this proactive approach empowers organizations to stay ahead of potential threats in an ever-evolving digital landscape.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Azure DevOps Server
Datadog
Google Sheets
Jira
Kubernetes
Microsoft Azure
Microsoft Excel
Microsoft Teams
Slack
vloxq CPQ

Integrations

Azure DevOps Server
Datadog
Google Sheets
Jira
Kubernetes
Microsoft Azure
Microsoft Excel
Microsoft Teams
Slack
vloxq CPQ

Pricing Details

$13 per month
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

LotusEye

Country

Japan

Website

lotuseye.co.jp/

Vendor Details

Company Name

Sweet

Country

United States

Website

www.sweet.security/

Product Features

Product Features

Cloud Security

Antivirus
Application Security
Behavioral Analytics
Encryption
Endpoint Management
Incident Management
Intrusion Detection System
Threat Intelligence
Two-Factor Authentication
Vulnerability Management

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Alternatives

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