NIST Data Loss Prevention
Learn how to implement DLP best practices for NIST CSF
The National Institute of Standards and Technology's Cybersecurity Framework (NIST CSF) is a set of voluntary standards, guidelines, and best practices designed to help organizations manage and reduce cybersecurity risk better. The CSF provides a structure for organizations to describe their current cybersecurity posture, their target state for cybersecurity, identify and prioritize improvement opportunities, assess progress towards the target state, and foster communication amongst internal and external stakeholders about cybersecurity risk.
The CSF is structured around five core functions covering cybersecurity management's breadth: Identify, Protect, Detect, Respond, and Recover. Each function is divided into categories and subcategories that provide a structured and detailed approach to cybersecurity.
While the NIST CSF was initially developed to enhance cybersecurity in critical infrastructure sectors like power plants and water treatment facilities, it is versatile enough to be implemented by organizations of various sizes, complexities, and sectors. NIST Data Loss Prevention is essential to the CSF, providing organizations with guidelines and best practices to prevent data loss and protect sensitive information. It offers a common language that can be used to communicate and manage cybersecurity risk both internally and with external partners.
From multinational corporations to small-and-medium-sized businesses, to government agencies and nonprofit organizations, any entity that has a need to manage cybersecurity risk can use the NIST CSF. It benefits organizations that are part of the critical infrastructure sector, as defined by the Department of Homeland Security.
Data Loss Prevention (DLP) is an approach to cybersecurity that focuses on preventing the unauthorized access or transfer of sensitive information out of an organization's network. To prevent any unauthorized access or transfer sensitive data, one needs to know where the sensitive data is.
The Identify function assists in developing an organizational understanding of managing cybersecurity risk to systems, assets, data, and capabilities. The best practice for implementing the Identify function:
a. Asset Management: Catalogue all hardware and software assets within the organization. Having a clear inventory makes it easier to manage and secure these assets.
Strac's Sensitive Data Discovery helps businesses understand where all sensitive data is present and how much sensitive data exposure a business has. This Data Disovery helps businesses prioritize which SaaS apps, Cloud services, or on-premise technology must be protected.
Specifically, the "Protect" function of the CSF includes a category called "Data Security" that involves implementing appropriate safeguards to ensure the delivery of critical infrastructure services. This may include measures to control access to systems and data, protect information in transit and at rest, and manage data security risk through protective technology. As such, DLP practices can play a key role in achieving the outcomes identified in this section of the CSF.
Implementing DLP best practices within the context of the NIST CSF involves aligning DLP strategies and tactics with the relevant aspects of the CSF, particularly within the Protect and Detect functions. Here are some best practices:
Remember, while implementing DLP strategies can significantly enhance an organization's cybersecurity posture, it should be part of a broader risk management approach, like that outlined in the NIST CSF.
To implement best security practices of NIST CSF, learn about Strac DLP (Data Loss Prevention) and Strac APIs to securely store, tokenize, redact, send sensitive data without touching it. Book a demo with us here.