DLP, or Data Loss Prevention, is a cybersecurity solution that detects and prevents data breaches. It blocks the extraction of sensitive data and prevents the unauthorized or inappropriate sharing, transfer, or use of data. It also helps organizations comply with data protection regulations and policies1 DLP can help defend against sensitive data exfiltration by monitoring and controlling data movement across networks, devices, applications, and cloud services. DLP can also alert or block users from sending or uploading sensitive data to untrusted destinations or recipients.

A sinkhole is a technique that redirects malicious network traffic to a controlled destination, such as a fake server or a black hole. A sinkhole can be used to stop malicious communications with a command-and-control server by preventing the malware from reaching its intended destination. A high entropy level means that the sinkhole can generate random domain names that match the changing domain name used by the malware for callback. Blocking TCP/443 at the edge router, disabling TCP/53 at the perimeter firewall, or configuring the DNS forwarders to use recursion are other possible actions that could stop malicious communications, but they could also disrupt legitimate services that use those protocols or settings. Reference: https://www.cisco.com/c/en/us/about/security-center/dns-sinkholing.html

Disabling unused modules is a proactive control that can reduce the attack surface of a web server, by minimizing the number of potential entry points or vulnerabilities that an attacker can exploit. Disabling unused modules can also improve the performance and stability of the web server, by freeing up resources and reducing complexity.

Pll stands for Personally Identifiable Information, and it is any data that can be used to identify, locate, or contact an individual. Examples of Pll include names, addresses, phone numbers, email addresses, social security numbers, bank account numbers, etc. The first step to secure the organization's Pll is to identify what type of Pll is on the network, where it is stored, who has access to it, and how it is transmitted. This can help determine the scope and impact of the deficiency in the policies and procedures for Pll.

A data minimization plan is a strategy that aims to reduce the amount and type of data that an organization collects, stores, and processes. It can help improve data privacy and protection by limiting the exposure and impact of a data breach or loss. Creating a data minimization plan is the best recommendation for a security officer who needs to find the most cost-effective solution to the current data privacy and protection gap. Requiring users to sign NDAs, adding access control requirements, or implementing a data loss prevention solution are other possible solutions, but they are not as cost-effective as creating a data minimization plan. Reference: https://www.csoonline.com/article/3603898/data-minimization-what-is-it-and-how-to-implement-it.html