> For the complete documentation index, see [llms.txt](https://help.nightfall.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://help.nightfall.ai/faqs/eliminate_data_exposure.md). # How does Nightfall make my organization more secure? Learn how Nightfall can secure your organization from sensitive data leaks. With the proliferation of cloud SaaS and data infrastructure, sensitive data sprays across more and more third-party services like Slack, GitHub, and AWS at an alarming rate. It’s a major challenge to see what data is in these silos and is being transmitted across them in real-time. Moreover, data is increasingly complex & unstructured and is created at an unprecedented rate, making it impossible to consistently tag and keep track of. All of this data can be subject to security risks, in the form of data filtration or leakage outside your organization, resulting in a breach. Likewise, you may be subject to compliance regimes that dictate your use & protection of customer data, such as HIPAA, GDPR, CCPA, and PCI-DSS. Nightfall is a data loss prevention platform that alleviates these burdens by automatically discovering & classifying sensitive data, giving you visibility into your cloud apps, and giving you the ability to respond & remediate instances of data sharing or data loss that represent security or compliance risks to your business. With these controls in place, you’ll have greater visibility into how sensitive data is stored, managed, shared, processed, and protected within your organization, and reduce the likelihood that this data is compromised by malicious or inadvertent activity. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://help.nightfall.ai/faqs/eliminate_data_exposure.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.