Gamma.ai: AI Powered Cloud DLP for SaaS
Gamma.ai helps organizations monitor for security mistakes in cloud environments. It is designed for those seeking to prevent data breaches caused by human negligence in SaaS tools.
At a glance
- Category
- Browse Security tools
- Best for
- Mid-market companies, Enterprise companies, Organizations using multiple SaaS applications, Security operations teams
- Pricing
- Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
- Key use cases
- Monitoring SaaS Security Mistakes, Preventing Accidental Data Leaks, Securing Engineering Secrets, Maintaining Compliance
- Integrations
- Slack, Gmail, Outlook, Mattermost, Microsoft Teams
- Official website
- Visit Gamma.ai official website
Gamma.ai is a cloud data loss prevention (DLP) platform that uses deep learning to discover and classify sensitive information across a company's SaaS ecosystem. Now part of Palo Alto Networks Next-Gen CASB, it is designed to identify security risks and provide notifications in real time when employees make security errors.
The tool supports mid-market and enterprise organizations that utilize cloud collaboration, storage, and business applications. It focuses on detecting insider threats and accidental data exposure, such as credentials or secrets shared in incorrect channels.
Buyers can use the platform to monitor employee actions and support security awareness through event-driven notifications. The infrastructure includes encryption and Zero Trust access to protect the data it analyzes.
Because this tool is part of the Palo Alto Networks ecosystem, buyers should confirm how it fits into their existing security stack and verify the specific requirements for their cloud environment.
Key Features
Cloud Data Discovery
Scans connected SaaS applications to find and identify sensitive data.
Deep Learning Classification
Uses AI to classify data with a stated 99.5% accuracy rate.
One-Click Deployment
Designed for setup across applications, devices, and users.
Real Time Notifications
Alerts end-users when a security mistake or violation is detected.
Zero Trust Access
Grants access to the Gamma infrastructure based on user identity and context.
Encryption
Supports TLS 1.2 for data in transit and AES-256 for data at rest.
Use Cases
Monitoring SaaS Security Mistakes
Tracks employee actions across cloud apps to detect and notify users of security errors.
Preventing Accidental Data Leaks
Supports the prevention of data breaches caused by human negligence in business applications.
Securing Engineering Secrets
Helps identify when keys, tokens, or credentials are checked into repositories like GitHub.
Maintaining Compliance
Supports organizational security postures with SOC 2 compliance attestation.
Best For
- Mid-market companies
- Enterprise companies
- Organizations using multiple SaaS applications
- Security operations teams
Integrations
- Slack
- Gmail
- Outlook
- Mattermost
- Microsoft Teams
- Gdrive
- Box
- Dropbox
- Onedrive
- Salesforce
- Jira
- Github
- Confluence
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
FAQ
What does Gamma.ai do?
- Gamma.ai is a cloud data loss prevention tool that uses deep learning to discover and classify sensitive data across SaaS applications and notify users when security mistakes occur.
Who is Gamma.ai designed for?
- The platform is designed for mid-market and enterprise companies that use various cloud-based collaboration and business tools.
Which applications can Gamma.ai integrate with?
- It integrates with collaboration tools like Slack and Teams, storage platforms such as Gdrive and Box, and business apps like Salesforce, Jira, and Github.
How does Gamma.ai handle data security?
- It uses TLS 1.2 encryption for data in transit, AES-256 for data at rest, and operates on a Zero Trust access model.
Source category: Security
Source subcategory: Cybersecurity
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Categories
Software Type
How AI is used
Gamma.ai is an AI-powered Cloud Data Loss Prevention (DLP) tool for mid-market and enterprise companies. It supports the discovery and classification of sensitive data across SaaS apps to help prevent breaches caused by human error.
Pros & Cons
Pros
- High classification accuracy may help reduce false alerts
- Supports a wide range of common SaaS integrations
- Designed for quick onboarding of applications
- Provides feedback to employees for security training
Cons
- Pricing information is not clearly available from the provided evidence
- Targeted at mid-market and enterprise levels, which may not suit very small businesses
- The provided evidence does not detail specific administrative reporting or granular permission controls
