Platform Overview
DATA LOSS PREVENTION
Data Detection & Response
Data Exfiltration Prevention
Data Security Posture Management
DATA PROTECTION
Data Encryption
Data Discovery & Classification
DATA PRIVACY FOR AI
Firewall for AI Developers
Firewall for AI Copilots
Key Features
Human Firewall
AI-Native Detection
Extensible Workflows
Use Cases
Prevent Secrets Sprawl
Prevent Data Exfiltration
Safeguard Personal Information
Secure AI Usage
Encrypt Sensitive Data Automatically
INDUSTRIES
SaaS & Cloud
Healthcare
Financial Services
Attack Vectors
SaaS & Email
AI & Custom Apps
Endpoint & Browsers
COMPLIANCE
HIPAA
PCI
GDPR/CCPA
ISO 27001
SOC 2
SOX
SAAS Integrations
ChatGPT & GenAI
Slack
Jira
Confluence
Salesforce
GitHub
Gmail
Google Drive
Zendesk
Notion
Microsoft 365 Suite
Google Suite
Microsoft OneDrive
Microsoft Teams
Microsoft Exchange
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Data privacy is top of mind for every organization, with individuals wanting reassurance that their data is secure at all times. With the ever-increasing number of cloud applications on the market today, security teams are faced with the challenge of keeping track of compounding volumes of sensitive data that can flow internally, externally, and across systems.
Data stewardship and protection of customer data is likely to become one of the largest challenges for businesses this decade, with a growing number of countries considering data privacy legislation
From our beginnings as childhood friends to coming up together in the tech industry, Isaac and I would catch up on our adventures as professionals working in Silicon Valley: him in the VC world, and me as an engineer at Uber Eats.
