Nightfall AI — AI Security Software

4.7 / 5 (from 3 reviews)

Rated #40 in AI Security Software

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What is Nightfall AI?

Nightfall AI is an AI-powered data security platform that protects sensitive information across SaaS applications, email systems, and AI tools. It detects and responds to data risks in real-time, helping security teams prevent leaks and maintain regulatory compliance without interrupting workflows.

What sets Nightfall AI apart?

Nightfall AI stands out with its AI-native detection engine, which pinpoints data risks with remarkable precision across various platforms. This approach fosters a security-conscious culture by empowering employees to address potential issues directly through chat or email notifications. The platform's API-driven architecture allows for smooth integration into existing security workflows, making it adaptable to diverse enterprise environments.

Nightfall AI Use Cases

Prevent secrets sprawl
Detect data exfiltration
Safeguard personal information
Secure AI usage
Automate data encryption

Who uses Nightfall AI?

Dev Ops Engineers IT Consultants IT Project Managers Risk Managers Network Administrators Database Administrators (DBA) Compliance Managers Chief Technical Officers Chief Information Officers Security Engineers

Features and Benefits

AI-Native Detection
Detect sensitive data using AI models trained on 125 million parameters, offering higher accuracy and fewer false positives compared to traditional methods.
Data Exfiltration Prevention
Monitor and prevent unauthorized data transfers across SaaS apps, browsers, and endpoints to protect intellectual property and confidential information.
Human Firewall
Empower employees to self-remediate data security issues through real-time notifications and guided actions, fostering a security-conscious culture.
Multi-App Integration
Protect sensitive data across various SaaS applications, including Slack, GitHub, Google Drive, and Microsoft Teams, with easy-to-deploy integrations.
AI Security for GenAI Tools
Safeguard sensitive information in AI model inputs and outputs, ensuring data privacy when using generative AI applications like ChatGPT.