CompTIA SecurityX Exam Objectives - 4: Security Operations - Page 3 Of 8 - ITU Online IT Training
Service Impact Notice: Due to the ongoing hurricane, our operations may be affected. Our primary concern is the safety of our team members. As a result, response times may be delayed, and live chat will be temporarily unavailable. We appreciate your understanding and patience during this time. Please feel free to email us, and we will get back to you as soon as possible.

Correlation in aggregate data analysis refers to linking related events and data points across various systems to create a more unified understanding of security activity.

Event false positives and false negatives are common challenges in Security Information and Event Management (SIEM) systems, impacting the accuracy and reliability of alerts. False

Retention in Security Information and Event Management (SIEM) refers to the storage and management of log data over a specified period to support compliance, security

Non-reporting devices in Security Information and Event Management (SIEM) systems are devices that fail to send logs, alerts, or status updates, which can lead to

Event deduplication is a core process within Security Information and Event Management (SIEM) systems, designed to reduce redundant alerts and optimize data processing. By identifying

Event parsing in Security Information and Event Management (SIEM) systems is a critical component of data analysis that transforms raw security data into structured formats,

Implants are malicious software or hardware components covertly installed within a system or device to maintain unauthorized access, steal data, or manipulate the system’s behavior.

Confused deputy vulnerabilities occur when a system component (the “deputy”) mistakenly uses its own elevated permissions to act on behalf of a user, potentially accessing

Weak ciphers refer to outdated or insecure encryption algorithms that fail to adequately protect data, making it easier for attackers to decrypt, intercept, or alter

Deserialization vulnerabilities occur when untrusted data is deserialized into an object or data structure, allowing attackers to manipulate application behavior or execute arbitrary code. These

Time of Check to Time of Use (TOCTOU) vulnerabilities occur when there is a delay between checking a resource’s state and using it, during which

Vulnerable third parties pose a significant security risk to organizations, as they often have access to sensitive data, networks, or systems but may not adhere

Black Friday

70% off

Our Most popular LIFETIME All-Access Pass