Practitioner Exam Dumps - Paloalto Networks Certified Cybersecurity Associate Questions and Answers

Determining system health using unaltered system data – Active monitoring collects real-time data to assess the current health and performance of systems.

Using probes to establish potential load issues – Active monitoring uses synthetic transactions or probes to simulate user interactions and identify performance or load-related issues before they affect users.

SOAR tools ingest aggregated alerts from detection sources (such as SIEMs, network security tools, and mailboxes) before executing automatable, process-driven playbooks to enrich and respond to these alerts.

One of the best practices for securing sensitive data in SaaS applications is to control the access and usage of data based on the device type. Managed devices are those that are enrolled and monitored by the organization’s IT department, and have security policies and controls applied to them. Unmanaged devices are those that are not under the organization’s control, such as personal laptops or mobile phones. Allowing downloads to managed devices but blocking them from unmanaged devices prevents data leakage and unauthorized access to sensitive data. This can be achieved by using a cloud access security broker (CASB) solution, such as Prisma SaaS from Palo Alto Networks, which can enforce granular policies based on device posture, user identity, and data sensitivity 12. References: 1: Securing SaaS applications on the cloud is a critical aspect of protecting sensitive data and maintaining the trust of customers. By implementing best practices, such as enhanced authentication, data encryption, Break Glass, and oversight, organizations can mitigate the security risks associated with SaaS applications2: Prisma SaaS - Palo Alto Networks

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.

SaaS financial botnets are often sold as kits, enabling attackers to license and reuse the malicious code easily.

These kits allow attackers to build and operate their own botnets, often targeting financial data or systems.

Financial botnets are typically smaller but more targeted than spamming or DDoS botnets. Botnets are not a defense mechanism, but rather a threat.

Cortex XDR is a security analytics platform that converges logs from network, identity, endpoint, application, and other security relevant sources to generate high-fidelity behavioral alerts and facilitate rapid incident analysis, investigation, and response1. Cortex XDR uses machine learning algorithms to automate data analysis and apply modeling in real time, helping organizations to reduce analyst workloads and improve security1. Cortex XDR also integrates with Palo Alto Networks next-generation firewalls and other security tools to streamline and speed network security response2. References: Security Analytics - Palo Alto Networks, Network Security Automation - Palo Alto Networks

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.