Insider Risks | Nightfall AI

Safeguard your most sensitive data

Careless users

With SaaS apps like Slack, Teams, GitHub, and Jira, it's all too easy to accidentally sprawl sensitive data across the cloud.

GenAI over-sharing

When sensitive data is included in GenAI prompts, it can be transmitted, stored, and used to train public LLMs—putting that data at risk in the process.

Malicious insiders

Insider risk can be intentional or unintentional. Enterprises need to defend their sensitive data from every angle.

Minimize insider risk

Leverage Nightfall’s advanced generative AI (GenAI) detectors to discover anomalous insider activity and respond in real time.

Streamline detection

Pinpoint PII, PHI, PCI, secrets, and credentials with double the precision of competitors like Google DLP, Microsoft Purview, or AWS Comprehend.
Scan emails, inspect file downloads, and detect unauthorized file transfers to monitor for insider risk events.

Mitigate risk

Take action by adjusting file permissions, encrypting emails, blocking downloads, and more.
Proactively address potential risks before they escalate, contributing to a more robust overall security posture.

Build a stronger culture of security

Send custom messages to educate employees about company policies and cyber hygiene best practices.
Empower employees to self-remediate policy violations, without impacting their productivity.

Supported applications

Extend Nightfall's AI-powered data protection across any of our integrations, or use our Firewall for AI APIs to secure any Saas app, GenAI app, or data pipeline.

Get an overview of the Nightfall platform