Borneo (Acquired by Atlassian)

Overview

This organization is an AI-powered data security platform focusing on discovering, analyzing, remediating, and governing sensitive data risks across unstructured data, SaaS applications, and multi-cloud environments. The platform ensures privacy and compliance, offering end-to-end data security for sensitive information such as health data, financial data, and personally identifiable information.

Its agentless, machine learning-powered platform delivers comprehensive coverage with rapid scanning capabilities, handling petabyte-scale data in environments including Amazon S3, OneDrive, and Google Drive. Key features include automatic remediation, continuous compliance monitoring, and a robust connector framework that integrates seamlessly with existing technologies. The platform is designed for quick deployment and scaling, enabling organizations to expand as needed.

Basic Information

Contact Details

• Website: borneo.io
• LinkedIn: linkedin.com/company/borneodata

Key Focus Areas & Initiatives

• Safe AI
• CCPA
• PCI
• Artificial intelligence
• Cloud security
• Data compliance reporting
• ML
• Security
• AWS
• Data protection
• Cloud scale
• Connectors
• AI governance
• SaaS
• API
• Data governance
• MLpowered classifiers
• Borneo data
• Data security
• Privacy observability
• Data investigation
• GDPR
• Privacy at scale
• Machine learning
• Cloud infrastructure
• Data privacy
• Software development
• Data security for SaaS apps
• Enterprise software
• Continuous compliance monitoring
• Data security incident response
• Security incident response
• Automated data risk fixes
• Threat detection
• Data security for cloud environments
• Continuous compliance
• Data encryption
• Data classification
• Continuous monitoring
• Secure data discovery tools
• Private data deployments
• Semantic NLP data analysis
• Agentless data security solutions
• Cloud data security
• Semantic NLP for data security
• Regulatory compliance monitoring
• ML-powered data risk management
• Information technology & services
• Hybrid cloud data security
• Data landscape management
• Data security monitoring
• Risk assessment
• AI-powered data security
• Threat detection in cloud data
• Sensitive data discovery
• Data security for large-scale environments
• Services
• Semantic analysis
• Data security for large enterprises
• No-code data security platforms
• Petabyte-scale data handling
• Cloud computing
• Data remediation
• ML classifiers
• Real-time data risk assessment
• Sensitive data masking and encryption
• AI for data privacy
• NLP context analysis
• SaaS data security
• Continuous data compliance
• Data privacy management
• Real-time data monitoring
• Regulatory compliance
• B2B
• Data security for cloud
• SaaS data security solutions
• Private cloud data security
• Data landscape visibility
• Data loss prevention
• Data monitoring
• Data security posture management
• Data privacy automation
• Private deployments
• AI
• Privacy regulation compliance
• Data risk management
• Automated remediation
• No-code integrations
• Semantic NLP analysis
• Agentless connectors
• Data access control
• Computer systems design and related services
• Data discovery & classification
• Data security for financial services
• Data landscape monitoring
• Data security platform
• Data privacy regulation compliance
• Data management
• Data security frameworks for enterprises
• Data security for healthcare
• Data risk
• Sensitive data masking
• Data security at scale
• ML-powered security
• Data risk assessment
• ML data classification
• Data security for SaaS
• Data exposure monitoring
• Data discovery
• Data security automation
• Data masking
• No-code data security integration
• Petabyte-scale data security
• Real-time data security monitoring
• Sensitive data detection
• AI-driven data governance
• Agentless data connectors
• Security posture management
• Data exposure detection
• ML classifiers for sensitive data
• Cybersecurity
• Data security frameworks
• Automated data remediation
• Automation
• Real-time data security
• Unstructured data security
• Petabyte data handling solutions
• Privacy compliance
• GDPR compliance
• US privacy laws
• Real-time observability
• Data mapping
• Sensitive data classification
• Privacy management
• Cloud-native security
• Agent-less integration
• Data breach notification
• Privacy data intelligence
• User trust
• Data lifecycle management
• Compliance automation
• Report generation
• Personal data management
• Data integrity
• Detailed data mapping
• Privacy impact assessments
• Security auditing
• Vendor risk management
• Data retention policies
• Monitoring sensitive data
• Automated notifications
• DPO-as-a-service
• Cloud data footprint
• Intelligent data monitoring
• Open APIs
• Data insights
• Compliance documentation
• Data ownership
• Real-time data classification
• Data infrastructure integration
• Privacy regulations
• Data risk analysis
• Data minimization
• Technical and organizational measures
• Third-party risk
• Customizable notifications
• Privacy assessment
• Systems integration
• Non-compliance risk management
• Machine learning algorithms
• Data management frameworks
• Healthcare
• Finance
• Computer software
• Computer & network security
• Enterprises
• Internet infrastructure
• Internet
• Health care
• Health, wellness & fitness
• Hospital & health care
• Financial services

Technologies Used

• AI
• Active Campaign
• Ansible
• CloudFlare
• CloudFlare Hosting
• Cloudflare DNS
• Gmail
• Google Analytics
• Google Apps
• Google Font API
• Google Tag Manager
• Hotjar
• Hubspot
• Intercom
• Linkedin Marketing Solutions
• Micro
• Microsoft Office 365
• Mobile Friendly
• Netlify
• Nginx
• Outlook
• Remote
• SailPoint
• Salesforce
• Slack
• Ubuntu
• WordPress.org
• reCAPTCHA

Affiliated Organizations & Regional Branches

• PRIDATECT S.L.