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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
Protecting against unseen dangers through user and entity behavior analytics is essential. This approach uncovers irregularities and hidden threats that conventional security measures often overlook. By automating the integration of numerous anomalies into a cohesive threat, security analysts can work more efficiently. Leverage advanced investigative features and robust behavioral baselines applicable to any entity, anomaly, or threat. Employ machine learning to automate threat detection, allowing for a more focused approach to hunting with high-fidelity, behavior-based alerts that facilitate prompt review and resolution. Quickly pinpoint anomalous entities without the need for human intervention. With a diverse array of over 65 anomaly types and more than 25 threat classifications spanning users, accounts, devices, and applications, organizations maximize their ability to identify and address threats and anomalies. This combination of human insight and machine intelligence empowers businesses to enhance their security posture significantly. Ultimately, the integration of these advanced capabilities leads to a more resilient and proactive defense against evolving threats.
API Access
Has API
API Access
Has API
Integrations
Accenture Cloud Retail Execution
Amazon AppFlow
Amazon Chime
Amazon CloudFront
Amazon CloudSearch
Amazon S3
Amazon Simple Notification Service (SNS)
Atos OneCloud
Cisco Adaptive Security Appliance (ASA)
Cisco Cloudlock
Integrations
Accenture Cloud Retail Execution
Amazon AppFlow
Amazon Chime
Amazon CloudFront
Amazon CloudSearch
Amazon S3
Amazon Simple Notification Service (SNS)
Atos OneCloud
Cisco Adaptive Security Appliance (ASA)
Cisco Cloudlock
Pricing Details
No price information available.
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
Nebulock
Country
United States
Website
nebulock.io
Vendor Details
Company Name
Cisco
Founded
1984
Country
United States
Website
www.splunk.com/en_us/products/user-behavior-analytics.html