Insecure application programming interfaces (APIs) can lead to data compromise when using a PaaS solution. APIs are interfaces that allow applications to communicate with each other and with the underlying platform. APIs can expose sensitive data or functionality to unauthorized or malicious users if they are not properly designed, implemented, or secured. Insecure APIs can result in data breaches, denial of service, unauthorized access, or code injection .

Data masking is a technique that replaces sensitive data with fictitious but realistic data, thus preventing unauthorized access to the original data. Reencrypting the data sets using AES-256 would provide a stronger level of encryption than Triple DES, which has been deprecated by NIST due to its vulnerability to attacks12

A business impact analysis (BIA) should be completed first before risk calculation and prioritization. A BIA is a process that identifies and evaluates the potential effects of disruptions to critical business functions or processes. A BIA helps to determine the recovery priorities, objectives, and strategies for the organization's assets and resources1. A BIA is a prerequisite for risk calculation and prioritization because it provides the basis for estimating the impact and likelihood of various threats and vulnerabilities on the organization's operations, reputation, and finances2.

A security information and event management (SIEM) system is a tool that collects and analyzes log data from various sources and provides alerts and reports on security incidents and events. A security analyst can create a custom rule on a SIEM system to automate the incident response process for malware infections. For example, the analyst can create a rule that triggers an alert email when the SIEM system detects logs that match the criteria of malware infection, such as process name, file name, file hash, etc. The alert email can be sent within 30 minutes or any other desired time frame. The other options are not suitable or sufficient for this purpose. Reference: CompTIA Cybersecurity Analyst (CySA+) Certification Exam Objectives (CS0-002), page 15; https://www.sans.org/reading-room/whitepapers/analyst/security-information-event-management-siem-implementation-33969

A forensic analyst is conducting an investigation on a compromised server. The first step that the analyst should do to preserve evidence is to back up all log files and audit trails. This will ensure that the analyst has a copy of the original data that can be used for analysis and verification. Backing up the log files and audit trails will also prevent any tampering or modification of the evidence by the attacker or other parties. The other options are not the first steps or may alter or destroy the evidence. Reference: CompTIA Cybersecurity Analyst (CySA+) Certification Exam Objectives (CS0-002), page 16; https://www.nist.gov/publications/guide-collection-and-preservation-digital-evidence