Gamma.ai

Analyzes user behavior patterns and data access activities across connected SaaS applications to identify anomalies indicative of insider threats, compromised accounts, or unauthorized access. Uses machine learning to distinguish legitimate activity from suspicious behavior without relying on static rules.

Automatically executes remediation actions in real-time when threats are detected, including isolating files, revoking shares, resetting credentials, and blocking access. Eliminates manual incident response delays by taking immediate protective action.

Monitors and manages file sharing permissions across SaaS applications, identifying overly permissive shares and automatically restricting access to sensitive files. Prevents accidental or intentional over-sharing of sensitive data.

Connects to SaaS applications without requiring agent installation or disruptive API integrations on user endpoints. Enables rapid deployment across fragmented cloud environments by leveraging existing SaaS APIs and authentication mechanisms.

Automatically identifies and classifies sensitive data across connected SaaS applications, including PII, financial records, healthcare data, and proprietary information. Maps data locations and ownership to provide visibility into data sprawl.

Continuously monitors and logs all data access activities across connected SaaS applications, capturing who accessed what data, when, and from where. Provides audit trail for compliance and forensic investigation.

Allows security teams to define custom data loss prevention policies based on data types, user roles, destinations, and business context. Policies can be tailored to organizational risk tolerance and compliance requirements.

Analyzes user behavior to identify potential insider threats through activity patterns, data access anomalies, and contextual risk factors. Assigns risk scores to users based on behavioral indicators and threat likelihood.

Identifies signs of account compromise through unusual login patterns, impossible travel detection, and anomalous data access behavior. Automatically triggers credential reset and access revocation when compromise is suspected.

Detects and blocks attempts to move sensitive data outside authorized channels, including unauthorized downloads, email forwarding, and sharing with external parties. Prevents data loss before it occurs.

Generates comprehensive compliance reports demonstrating data protection controls, access monitoring, and incident response capabilities. Creates audit trails required for SOC 2, HIPAA, GDPR, and other regulatory frameworks.