Nightfall AI

Configure Nightfall AI to monitor AI application usage and data flow.

Define policies to detect and flag sensitive data types (e.g., PII, PHI, PCI) within AI application prompts and responses.

Set up automated remediation actions, such as blocking prompts containing sensitive data or masking sensitive information in responses.

Continuously monitor and refine policies based on detected incidents and user feedback.

Integrate Nightfall AI with the target SaaS applications.

Use Nightfall AI to scan existing data within the SaaS applications for sensitive information.

Automatically revoke access to over-permissioned files or flag instances of sensitive data exposure.

Implement ongoing monitoring to prevent future data exposure incidents.

Connect Nightfall AI to the organization's Google Drive and OneDrive accounts.

Use Nightfall AI to identify files and folders with overly permissive sharing settings.

Automatically revoke external access to sensitive data and enforce least-privilege access controls.

Generate reports on data sharing activities for compliance and auditing purposes.

Deploy Nightfall AI endpoint agents to employee devices.

Configure policies to monitor data transfers to removable media, cloud storage, and other potential exfiltration channels.

Block unauthorized data transfers and alert security teams to suspicious activity.

Provide training and awareness programs to educate employees about data security best practices.

Integrate Nightfall AI with GitHub repositories.

Scan code repositories for sensitive data types, such as API keys, passwords, and intellectual property.

Alert developers to identified vulnerabilities and provide guidance on remediation.

Implement automated workflows to prevent future exposure of sensitive data in code repositories.