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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Nebulock is an advanced threat hunting platform powered by AI, specifically engineered to proactively uncover concealed security threats throughout an organization’s complete technological infrastructure. By perpetually analyzing telemetry data from various sources such as endpoints, identity frameworks, cloud environments, networks, and SaaS applications, it correlates signals across these different layers to detect attacks that conventional tools may overlook. Utilizing agentic AI, Nebulock automates the entire threat hunting process by forming hypotheses, validating them against real-time data, and converting findings into confirmed behavioral detection rules without the need for human intervention. Its fundamental architecture incorporates a contextual "behavior graph" that establishes a baseline of typical activities, allowing it to identify anomalies by comparing events along a unified timeline, which enhances the accuracy of detecting insider threats, credential misuse, and lateral movements. Unlike traditional methods, Nebulock prioritizes behavior-based detection over static indicators, ensuring a more dynamic approach to security. This innovative platform not only improves operational efficiency but also significantly elevates the organization's overall security posture.

Description

OpenText™ Core Behavioral Signals is a sophisticated threat detection tool that uses unsupervised machine learning and user entity behavior analytics (UEBA) to uncover behavioral anomalies that signal insider threats, advanced persistent threats, and novel attacks. Its 100% online learning models automatically adapt to the unique behavior patterns of an organization, eliminating the need for constant rule maintenance or threshold updates. This continuous adaptation helps threat hunters detect hard-to-find attacks that traditional rule-based systems might miss. The solution converts vast amounts of data into a focused set of actionable alerts, significantly increasing analyst productivity. Its intuitive dashboards offer a high-level organizational risk overview, while detailed risk timelines and anomaly visualizations assist in deep investigations. Core Behavioral Signals also supports real-time collaboration among analysts, enabling faster threat identification and response. Integration with SOAR and ticketing systems allows for automated workflows and incident management. OpenText provides professional services and expert support to ensure successful deployment and optimization.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

DNSSense No 
Google Digital Risk Protection No 
OpenClaw Yes 
Securden Password Vault for Enterprises No 
Securden Unified PAM No 
Symantec Network Forensics No 

Integrations

DNSSense Yes 
Google Digital Risk Protection Yes 
OpenClaw No 
Securden Password Vault for Enterprises Yes 
Securden Unified PAM Yes 
Symantec Network Forensics Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Nebulock

Country

United States

Website

nebulock.io

Vendor Details

Company Name

OpenText

Founded

1991

Country

Canada

Website

www.opentext.com/products/behavioral-signals

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