CompTIA CASP Changed CAS-004 Questions

Regular operating system patching is critical to mitigating vulnerabilities. When a Snort IDS rule is provided to identify a CVE, it typically means there is a known vulnerability that can be exploited. Keeping systems updated with the latest patches helps to close off these vulnerabilities and protect against exploitation.

For a successful Data Loss Prevention (DLP) strategy, the first step is data classification. Data classification involves identifying and categorizing data based on its sensitivity and importance, which allows the DLP system to apply appropriate security controls to protect critical or sensitive information. Without proper data classification, it is difficult to implement effective DLP policies. While tokenization, network traffic analysis, and multifactor authentication can contribute to data security, classification is fundamental to building a targeted and effective DLP strategy. CASP+ highlights the importance of identifying and categorizing data as a key part of securing sensitive information and preventing data breaches.

References:

CASP+ CAS-004 Exam Objectives: Domain 3.0 – Enterprise Security Architecture (Data Loss Prevention and Data Classification)

CompTIA CASP+ Study Guide: DLP Strategies and Data Classification

ssdeep is a tool that computes and matches Context Triggered Piecewise Hashing (CTPH), also known as fuzzy hashing. It can be used to identify similar files or slight variations of the same file, which may point to the creator of the file if certain patterns or markers are consistently present. This method allows for integrity checking without altering the evidence, which is critical in forensic investigation.

A machine-learning-based data security service would best meet the pharmaceutical company’s requirements to discover data, monitor changes, and identify suspicious activity across thousands of independent resources in cloud object storage. Machine learning can analyze vast amounts of data, detect patterns, and alert administrators to anomalies or suspicious activities without manual intervention. Traditional file integrity monitoring or data classification might not scale well or adapt dynamically to the complexity and size of the company’s environment. CASP+ highlights the use of advanced technologies like machine learning for cloud security and monitoring.

References:

CASP+ CAS-004 Exam Objectives: Domain 2.0 – Enterprise Security Operations (Machine Learning for Security)

CompTIA CASP+ Study Guide: Cloud Security Monitoring with Machine Learning