Nightfall AI

Nightfall AI is a comprehensive, AI-native Data Loss Prevention (DLP) platform designed to protect sensitive data in the modern, cloud-first enterprise. It moves beyond the limitations of legacy DLP solutions by leveraging advanced AI, including large language models (LLMs) and behavioral analytics, to provide holistic coverage across all potential data egress points. The platform automates the entire process of data discovery, classification, and protection, enabling security teams to prevent data leaks across SaaS applications, generative AI tools, email, browsers, and endpoints with unparalleled precision and efficiency.

By putting data loss prevention on autopilot, Nightfall AI helps organizations secure their most valuable assets, such as intellectual property, customer data (PII, PHI, PCI), and corporate secrets. It addresses the challenges of remote work and the proliferation of cloud services, where sensitive data is often dispersed and difficult to track. The platform is built to be frictionless, deploying in minutes and reducing the burden on security teams through automated remediation and user-friendly workflows.

How to use Nightfall AI

Getting started with Nightfall AI is a streamlined, three-step process designed for rapid deployment and immediate protection:

1. Connect and Deploy (10-Minute Setup): Easily integrate Nightfall with your cloud environment. For SaaS applications like Slack, Google Workspace, and Microsoft 365, this is done via simple, API-based connections. For endpoint protection, deploy lightweight agents on macOS and Windows devices or use browser plugins for Chrome, Firefox, Edge, and Safari.
2. Configure Policies: Leverage Nightfall's extensive library of pre-trained, AI-powered detectors and out-of-the-box policies to start protecting data immediately. You can also customize policies to meet specific compliance requirements (e.g., HIPAA, GDPR, PCI DSS) or internal data handling rules.
3. Automate and Remediate: Once configured, Nightfall runs continuously in the background. It automatically detects potential policy violations in real-time and executes pre-defined response actions. These actions can include blocking a file upload, redacting sensitive text, quarantining a message, or revoking sharing permissions. The platform can also notify end-users with self-remediation options, creating a 'human firewall' and reducing the workload on your security operations team.

Core Features of Nightfall AI

• Data Detection & Response (DDR): Provides real-time monitoring and protection for SaaS applications and email. It automatically detects and remediates the inadvertent exposure of sensitive data like secrets, credentials, PHI, PCI, and PII.
• Data Exfiltration Prevention (DEX): Prevents sensitive data from leaving the organization through endpoints and browsers. It blocks unauthorized browser uploads, copy/paste activities, print jobs, and file transfers to USB drives. It is particularly effective at preventing data leakage to 'Shadow AI' tools like ChatGPT or Gemini.
• Data Discovery & Classification (DDC): Scans data at rest within your cloud applications (like Google Drive and OneDrive) to discover, classify, and remediate historical sensitive data exposure and over-permissioned sharing.
• AI-Powered Detection: Utilizes proprietary LLMs and behavioral models to understand the context and sensitivity of data, achieving up to 95% precision and dramatically reducing false positives.
• Automated Remediation Workflows: Offers a range of automated actions, including blocking, encrypting, redacting, quarantining, and deleting data, as well as revoking access permissions to mitigate risks instantly.
• Developer Platform API: Allows businesses to extend Nightfall's DLP capabilities to any custom-built application, cloud infrastructure, or internal tool.

Use Cases for Nightfall AI

Nightfall AI is versatile and addresses critical security needs across various industries:

• Preventing Data Leakage to Shadow AI: Stops employees from pasting proprietary code, strategic plans, or customer data into unauthorized web and desktop-based AI applications.
• Securing SaaS Collaboration: Monitors platforms like Slack, Microsoft Teams, and Jira for the accidental sharing of sensitive information in public channels or with external users.
• Protecting Intellectual Property: Identifies and blocks the exfiltration of source code, trade secrets, and research data from leaving via email, cloud storage, or removable media.
• Ensuring Regulatory Compliance: Helps organizations in healthcare, finance, and legal sectors meet stringent data protection regulations like HIPAA, GDPR, CCPA, and PCI DSS by continuously monitoring for and protecting PII, PHI, and financial data.
• Insider Risk Management: Detects and mitigates risks from both malicious and negligent insiders by analyzing user behavior and data movement patterns.

Advantages of Nightfall AI

Nightfall AI offers significant advantages over traditional DLP solutions:

• Holistic Coverage: Provides a single, unified platform to secure data across SaaS, GenAI, email, endpoints, and browsers.
• High-Fidelity Detections: The AI-powered engine minimizes alert fatigue by delivering highly accurate results, allowing security teams to focus on real threats.
• Frictionless Deployment & Maintenance: Deploys in minutes with API integrations and lightweight agents, requiring minimal ongoing maintenance and causing no disruption to user productivity.
• Lower Total Cost of Ownership (TCO): Achieves greater protection at a fraction of the cost through reduced false positives, faster deployment, and automated remediation, which frees up valuable security team resources.
• Empowers End-Users: Involves employees in the security process through self-remediation, fostering a stronger security culture and reducing the burden on SOC teams.

Pricing and Plans

Nightfall AI offers flexible, modular pricing tailored to organizational needs. They offer a 7-day proof-of-value to demonstrate the platform's capabilities.

• Data Detection & Response (DDR): Priced per user/year. Tiers are available based on the number of applications covered (e.g., up to 3 apps or all supported apps).
• Data Exfiltration Prevention (DEX): Priced per user/year, covering macOS and Windows endpoints and browser-based applications.
• Nightfall Complete: A bundled package offering the best value. It includes all features of DDR and DEX, plus a dedicated customer success manager and priority support.
• Add-ons:
  - Data Discovery and Classification: Can be added to any plan. Pricing is based on the volume of data scanned (e.g., 1 TB, 3 TB, 5 TB tiers).
  - Developer Platform: Available as an add-on with a platform fee and volume-based pricing for API calls or data scanned.

Custom packages can be created by contacting the Nightfall sales team to address specific DLP requirements.