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
API Access
Has API
Integrations
Amazon S3
Apache Cassandra
Apache Kafka
Box
Confluent
Databricks
Dropbox
MariaDB
Microsoft OneDrive
Microsoft SharePoint
Integrations
Amazon S3
Apache Cassandra
Apache Kafka
Box
Confluent
Databricks
Dropbox
MariaDB
Microsoft OneDrive
Microsoft SharePoint
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
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
Antivirus/Malware Detection
At-Risk Analysis
Audits
Data Center Security
Data Classification
Data Discovery
Data Loss Prevention
Data Masking
Data-Centric Security
Database Security
Encryption
Identity / Access Management
Logging / Reporting
Mobile Data Security
Monitor Abnormalities
Policy Management
Secure Data Transport
Sensitive Data Compliance
Product Features
Data Discovery
Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics
Data Security
Alerts / Notifications
Antivirus/Malware Detection
At-Risk Analysis
Audits
Data Center Security
Data Classification
Data Discovery
Data Loss Prevention
Data Masking
Data-Centric Security
Database Security
Encryption
Identity / Access Management
Logging / Reporting
Mobile Data Security
Monitor Abnormalities
Policy Management
Secure Data Transport
Sensitive Data Compliance