What is Gamma.AI?
Gamma.AI, now integrated with Palo Alto Networks as their Next-Gen CASB, transforms cloud data security with advanced data discovery and prevention capabilities. By leveraging deep learning, Gamma.AI achieves an unprecedented 99.5% accuracy in data classification. It provides horizontal coverage with one-click deployment across all applications, devices, and users, offering organizations comprehensive protection. Focusing on empowering end-users, Gamma.AI ensures quick remediation of potential breaches, securing sensitive data against insider threats and breaches stemming from human negligence. Gamma.AI integrates seamlessly with a wide array of platforms, such as Slack, Gmail, Microsoft Teams, GDrive, and Salesforce, offering robust and user-friendly security layers critical in today’s data-driven world.
Features
- Contextual perception: 99.5% accurate data classification using advanced deep learning
- Horizontal coverage: One-click deployment across all applications, devices & users
- User democratization: Empowers end users with instant remediation
Use Cases
- Enhancing cloud data security
- Preventing data breaches
- Compliance with data protection regulations
- Data access control across multiple SaaS applications
- Reducing risks from insider threats
FAQs
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How accurate is the data classification using deep learning?
Gamma.AI achieves 99.5% accuracy in data classification. -
Which platforms does Gamma.AI seamlessly integrate with?
Gamma.AI integrates with platforms like Slack, Gmail, Microsoft Teams, GDrive, and Salesforce. -
What is the key benefit of Gamma.AI for organizations?
Gamma.AI offers comprehensive protection for organizations by securing sensitive data against insider threats and breaches stemming from human negligence. -
What use-cases does Gamma.AI cater to?
Gamma.AI is useful for enhancing cloud data security, preventing data breaches, complying with data protection regulations, controlling data access across multiple SaaS applications, and reducing risks from insider threats.
