Leverage Nightfall’s industry-leading detection engine to prevent sensitive data exposure in AI apps and data pipelines.
AI models are often deployed in environments where employees and customers alike can accidentally “over-share” sensitive data, such as via chatbots and virtual assistants.
AI models are trained on large datasets, and are often exposed to sensitive company and customer data as a result—leading to privacy breaches, noncompliance, and loss of customer trust.
Threat actors can target AI models via data poisoning, jailbreaking, prompt injection, and other attacks in order to access sensitive company and customer data.
Nightfall offers a smarter, more scalable solution to DLP for AI.
Deploy Nightfall’s industry-leading detectors to pinpoint sensitive data and remain in continuous compliance with leading standards like GDPR, CCPA, HIPAA, and more.
Nightfall is unparalleled in its precision, recall, and reliability. •≥95% precision/recall
•≥99.9% request success rate
•≥1k RPS peak throughput
•≤100ms P99 latency, for 4 or
a more detectors
Use Nightfall’s extensible set of APIs and SDKs as a client wrapper that protects company and customer interactions with GenAI APIs.
Intercept sensitive data before it’s shared to public LLMs, model training sets, internal data stores, and automated workflows.
Duis vel morbi orci volutpat tellus. Gravida dolor pretium ut rhoncus tellus diam suspendisse ut.
Healthcare organizations need to protect PHI and comply with HIPAA. Nightfall automatically classifies all cloud data and finds at-risk patient data from a single platform.
Use prebuilt, high accuracy detectors or create your own
Build detection rules for your use cases
Scan text and files, including images
Remediate sensitive data with redaction techniqu
Create a detection rule with the Nightfall API or SDK client.
Send your outgoing prompt text in a request payload to the Nightfall API text scan endpoint. The Nightfall API will respond with any detected sensitive findings as well as the redacted payload.
Send the redacted prompt to the AI model using its API.
Maximize productivity, without compromising on AI tool effectiveness, as AI models don't need sensitive data in order to generate a cogent response.
Detect and prevent adversarial attacks including prompt injection, jailbreaking, data poisoning, gibberish, invisible and block text, and malicious URLs.
Add guardrails for conversation content, topics, code, languages, URLs, and more.
Identify dysfunctional conversations by checking LLM response refusal, user input sentiment, token limits, reading length, poorly constructed JSON, and more.
Maximize productivity, without compromising on AI tool effectiveness, as AI models don't need sensitive data in order to generate a cogent response.
Build data protection into your AI application in 3 steps.
Try one of our pre-built detectors, or customize your own.
Read docsExtend coverage into your cloud systems in minutes through cloud API integration. Agentless deployment covers all users, extending your coverage to remote workers.
Report on compliance in a consolidated view
Confidently meet key data privacy and compliance mandates such as HIPAA, PCI-DSS, SOC 2, CCPA, GDPR, and more. Leverage our historical scans risk assessment to show auditors and customers your ongoing compliance.
Centralized security management
Leverage Nightfall's built-in dashboard or out-of-the-box SIEM integrations to manage all your DLP needs in one place.