PCCP Exam Dumps - Palo Alto Certified Cybersecurity Practitioner (PCCP)

Multiple attack vectors – APTs often use various methods (phishing, malware, lateral movement) to infiltrate and maintain access to a target.

Repeated pursuit of objective – APTs are known for their persistent nature, involving continuous efforts over time to achieve their goals, such as data theft or surveillance.

Detection of threats using data analysis – SIEM platforms analyze collected data to identify suspicious patterns and detect threats.

Ingestion of log data – SIEM systems collect and centralize log data from various sources, which is essential for analysis, correlation, and alerting.

Automation and prevention are more aligned with SOAR and firewall/EDR functionalities, not the core operations of SIEM.

Cloud Security Posture Management (CSPM), including Prisma Cloud’s offering, continuously monitors all cloud resources — such as compute instances, storage, network configurations, and identities — to detect misconfigurations, vulnerabilities, and potential threats in near real time.

Social engineering attacks manipulate human trust to gain unauthorized access or information. Convincing an employee that an attacker is also an employee builds rapport, lowering defenses for information disclosure or credential sharing. Similarly, impersonating a company representative and requesting unrelated personal data exploits authority bias to deceive victims. These tactics exploit psychological vulnerabilities rather than technical flaws and are prevalent initial steps in multi-stage attacks. Palo Alto Networks highlights the importance of training, multi-factor authentication, and behavior-based threat detection to mitigate social engineering risks effectively.

SOAR platforms are unique in their ability to automate incident response through the use of predefined workflows. These workflows allow repetitive security tasks to be executed automatically, improving response speed and efficiency.

Identity Threat Detection and Response (ITDR) leverages behavior analysis to identify suspicious or anomalous activities associated with user identities. This methodology involves continuously monitoring user authentication patterns, access events, and privilege escalations to build a baseline of “normal” behavior. By detecting deviations—such as unusual login locations, timeframes, or excessive access attempts—ITDR can flag potential identity compromises or insider threats that traditional signature or rule-based systems often miss. Palo Alto Networks’ ITDR integrates behavioral analytics with threat intelligence to deliver real-time alerts and automated response capabilities, essential in mitigating credential abuse and lateral movement within networks. This behavioral approach is crucial for adapting to sophisticated identity attacks that evolve constantly.

A serverless function is an event-driven snippet of code that runs on managed infrastructure, typically as part of a Function as a Service (FaaS) model. It is executed in response to events such as HTTP requests or database changes, and the cloud provider handles the underlying infrastructure.

SSL/TLS encrypts and authenticates web-based communication to ensure secure data transmission over networks. It ensures privacy by encrypting the data exchanged between a client and a server, protecting it from interception or tampering. It doesn’t handle user input like passwords directly.