Data Exfiltration Prevention by Nightfall AI leverages generative AI (GenAI) to discover sensitive data and monitor data movement. It integrates seamlessly with SaaS apps and managed endpoints, providing full visibility across these platforms. Nightfall AI's detection engine accurately identifies PII, PCI, PHI, secrets, and credentials with fewer false positive alerts. Security teams can monitor data movement and take action from within the Nightfall console. It automatically classifies all cloud data and finds at-risk patient data from a single platform. Users can build detection rules for specific use cases, scan text and files including images, and remediate sensitive data with redaction techniques. Nightfall AI's Data Exfiltration Prevention also monitors download events across SaaS apps and endpoints, detects download events and uploads to unsanctioned locations in real time, and sets alert thresholds based on the number of downloads in a certain time frame. It reduces noise by tailoring policies for high-risk users, content, and data types. Actionable alerts can be configured to Slack, Teams, Jira, email, or SIEM. Metadata for relevant users and content, including activity logs, can be reviewed. Immediate actions can be taken by suspending user access to SaaS environments and sending custom messages to educate employees about policy violations. It defends data in real time by restricting file permissions, suspending user accounts, and blocking unsanctioned file transfers. Automated messages can be sent to educate employees about policies and empower self-remediation of violations. Insights about policy violations, including file names, sizes, device names, locations, user names, and histories, can be viewed. Nightfall AI's Data Exfiltration Prevention leverages AI to reduce security team workloads and improve security posture.
