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About
LotusEye is a cloud-based AI anomaly detection service that automatically learns normal behavior from uploaded numerical or sensor data in CSV format and continuously calculates anomaly scores to flag deviations that may indicate faults or unexpected activity, providing alerts and visual insights without requiring users to have expertise in machine learning. It supports both wide-format CSV files, where each row represents sensor values at a timestamp, and long-format CSV with timestamp, sensor name, and value columns, and lets users upload data via drag-and-drop or through an API for scheduled automated processing. After training an AI model with normal operation data, users can upload test data to see calculated anomaly scores and review them in dashboards with time-series graphs, threshold indicators, and filters, helping teams spot unusual patterns and investigate potential issues quickly.
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About
We use pivotal runtime insights to cut through cloud security's noise and focus on the risks that matter. In the real world, attackers are opportunistically paving their way through your cloud infrastructure while runtime risks are on the rise. Get your “boots on the cloud” with Sweet’s patent-pending, eBPF-based sensor to establish your organizational baseline for what’s normal. Receive critical runtime insights that augment operations across the entire cloud security stack. Sweet’s dynamic profiling finds runtime anomalies, allowing you to address live cloud risks. eBPF-based sensor serves deep, real-time insights, without performance or cost drawbacks. Find zero-day cloud attacks in real-time, get actionable attack stories, and minimal noise. Sweet’s approach elevates the ability of security teams to shut down cloud attacks when they occur, where they occur, with maximum precision and minimal business disruption.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Data engineers, operations teams, and analysts wanting anomaly detection on time-series or numerical sensor data to flag abnormal behavior and monitor systems without building models manually
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Audience
Companies searching for a solution to manage and secure their cloud workloads
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
$13 per month
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationLotusEye
Japan
lotuseye.co.jp/
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Company InformationSweet
United States
www.sweet.security/
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Categories |
Categories |
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Integrations
Azure DevOps Server
Datadog
Google Sheets
Jira
Kubernetes
Microsoft Azure
Microsoft Excel
Microsoft Teams
Slack
vloxq CPQ
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Integrations
Azure DevOps Server
Datadog
Google Sheets
Jira
Kubernetes
Microsoft Azure
Microsoft Excel
Microsoft Teams
Slack
vloxq CPQ
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