Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Borneo serves as an advanced platform for real-time data security and privacy observability, aimed at equipping organizations with the tools needed to identify, address, and manage data risks while upholding privacy standards and compliance requirements. It allows users to pinpoint the locations of health, financial, and personally identifiable information (PII) across various unstructured data sources, SaaS applications, and public cloud settings. By utilizing a sophisticated risk correlation engine, Borneo detects data that breaches security protocols and privacy laws, facilitating prompt intervention. The platform also provides automated remediation options such as data masking, modifications to access permissions, and encryption, all while continuously monitoring data changes to ensure compliance and mitigate regulatory risks. Developed by former security experts from firms like Uber, Facebook, and Yahoo, Borneo is engineered to effectively manage data at scale. It incorporates a robust connector framework for seamless integration across disparate data environments, promotes flexible and modular deployment options, and guarantees that data remains securely within the user's cloud infrastructure. Ultimately, Borneo empowers organizations to maintain a proactive stance on data security and privacy management.
Description
The volume of data is rapidly increasing, with estimates indicating that more than 25 petabytes were generated daily in 2019, and nearly all of it is stored somewhere. A significant portion of this information is kept on file shares, network drives, and cloud platforms "just in case," with over 70 percent lacking any real business relevance. Data that is considered redundant, obsolete, or trivial (ROT) could expose organizations to legal risks or compliance issues. While data is often described as a valuable asset for companies, it can simultaneously pose substantial risks if not managed properly. To address these challenges, a robust data-at-rest strategy is essential to distinguish between valuable assets and potential liabilities, while also assisting organizations in identifying what data they possess, who can access it, and the methods to secure it. Illuminate performs comprehensive scans of various storage locations, including on-premise shares, Box, Dropbox, OneDrive, and Microsoft SharePoint and SharePoint Online, ensuring organizations have a clear understanding of their data landscape. This proactive approach not only helps mitigate risks but also enhances overall data governance frameworks.
API Access
Has API
No
API Access
Has API
No
Integrations
Amazon S3
Yes
Apache Cassandra
Yes
Apache Kafka
Yes
Box
No
Confluent
Yes
Databricks
Yes
Dropbox
No
MariaDB
Yes
Microsoft OneDrive
No
Microsoft SharePoint
No
Integrations
Amazon S3
No
Apache Cassandra
No
Apache Kafka
No
Box
Yes
Confluent
No
Databricks
No
Dropbox
Yes
MariaDB
No
Microsoft OneDrive
Yes
Microsoft SharePoint
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)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
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
Borneo
Founded
2019
Country
United States
Website
www.borneo.io
Vendor Details
Company Name
Fortra
Country
United States
Website
www.titus.com/products/titus-illuminate-data-protection
Product Features
Data Security
Alerts / Notifications
No
Antivirus/Malware Detection
No
At-Risk Analysis
No
Audits
No
Data Center Security
No
Data Classification
No
Data Discovery
No
Data Loss Prevention
No
Data Masking
No
Data-Centric Security
No
Database Security
No
Encryption
No
Identity / Access Management
No
Logging / Reporting
No
Mobile Data Security
No
Monitor Abnormalities
No
Policy Management
No
Secure Data Transport
No
Sensitive Data Compliance
No
Product Features
Data Discovery
Contextual Search
No
Data Classification
No
Data Matching
No
False Positives Reduction
No
Self Service Data Preparation
No
Sensitive Data Identification
No
Visual Analytics
No
Data Security
Alerts / Notifications
No
Antivirus/Malware Detection
No
At-Risk Analysis
No
Audits
No
Data Center Security
No
Data Classification
No
Data Discovery
No
Data Loss Prevention
No
Data Masking
No
Data-Centric Security
No
Database Security
No
Encryption
No
Identity / Access Management
No
Logging / Reporting
No
Mobile Data Security
No
Monitor Abnormalities
No
Policy Management
No
Secure Data Transport
No
Sensitive Data Compliance
No