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Endpoint Detection and Response (EDR) tools monitor, record, and analyze endpoint activity to detect suspicious behavior, investigate incidents, and respond to threats on user devices such as laptops and desktops.

Cyberterrorists are attackers who use the internet to recruit members to an ideology, to train them, and to spread fear and induce panic. Cyberterrorists may target critical infrastructure, government systems, or public services to cause disruption, damage, or harm. Cyberterrorists may also use the internet to disseminate propaganda, incite violence, or coordinate attacks. Cyberterrorists differ from other attacker profiles in their motivation, which is usually political, religious, or ideological, rather than financial or personal. References: Cyberterrorism, Cyber Threats, Cybersecurity Threat Landscape

Forensics in a Security Operations process refers to collecting raw data needed to complete the detailed analysis of an investigation. Forensic analysis is a crucial step in identifying, investigating, and documenting the cause, course, and consequences of a security incident or violation. Forensic analysis involves various techniques and tools to extract, preserve, analyze, and present evidence in a structured and acceptable format. Forensic analysis can be used for legal compliance, auditing, incident response, and threat intelligence purposes. References:

Cyber Forensics Explained: Reasons, Phases & Challenges of Cyber Forensics

SOC Processes, Operations, Challenges, and Best Practices

What is Digital Forensics | Phases of Digital Forensics | EC-Council

To maximize the use of a network address, the administrator should use the subnet that can accommodate the required number of hosts with the least amount of wasted IP addresses. The subnet mask determines how many bits are used for the network portion and the host portion of the IP address. The more bits are used for the network portion, the more subnets can be created, but the fewer hosts can be assigned to each subnet. The formula to calculate the number of hosts per subnet is

2(32−n)−2

, where

n

is the number of bits in the network portion of the subnet mask. For example, a /30 subnet mask has 30 bits in the network portion, so the number of hosts per subnet is

2(32−30)−2=2

A /25 subnet mask has 25 bits in the network portion, so the number of hosts per subnet is

2(32−25)−2=126

The subnet 192.168.6.0/25 can accommodate 126 hosts, which is enough for the network with 120 hosts. The subnet 192.168.6.168/30 can only accommodate 2 hosts, which is not enough. The subnet 192.168.6.160/29 can accommodate 6 hosts, which is also not enough. The subnet 192.168.6.128/27 can accommodate 30 hosts, which is enough, but it wastes more IP addresses than the /25 subnet. Therefore, the best option is B. 192.168.6.0/25. References:

Getting Started: Layer 3 Subinterfaces - Palo Alto Networks Knowledge Base

DotW: Multiple IP Addresses on an Interface - Palo Alto Networks Knowledge Base

Configure NAT - Palo Alto Networks | TechDocs

● Reduce the attack surface: Best-of-breed technologies that are natively integrated provide a prevention architecture that inherently reduces the attack surface. This type of architecture allows organizations to exert positive control based on applications, users, and content, with support for open communication, orchestration, and visibility.

● Prevent all known threats, fast: A coordinated security platform accounts for the full scope of an attack across the various security controls that compose the security posture, thus enabling organizations to quickly identify and block known threats.

● Detect and prevent new, unknown threats with automation: Security that simply detects

threats and requires a manual response is too little, too late. Automated creation and

delivery of near-real-time protections against new threats to the various security solutions in the organization’s environments enable dynamic policy updates. These updates are

designed to allow enterprises to scale defenses with technology, rather than people.

Signature-based malware detection relies on a constantly updated database of known threat signatures to identify malicious files or activity. Without frequent updates, it becomes ineffective against newly emerging threats.

Account discovery is a technique in the MITRE ATT&CK framework under the Discovery tactic. It involves adversaries attempting to identify user accounts on a system or network.

Credential access, lateral movement, and resource development are tactics — high-level objectives an attacker is trying to achieve.

Ensuring that your cloud resources and SaaS applications are correctly configured and adhere to your organization’s security standards from day one is essential to prevent successful attacks. Also, making sure that these applications, and the data they collect and store, are properly protected and compliant is critical to avoid costly fines, a tarnished image, and loss of customer trust. Meeting security standards and maintaining compliant environments at scale, and across SaaS applications, is the new expectation for security teams.

page 173 "AutoFocus makes over a billion samples and sessions, including billions of artifacts, immediately actionable for security analysis and response efforts. AutoFocus extends the product portfolio with the global threat intelligence and attack context needed to accelerate analysis, forensics, and hunting workflows. Together, the platform and AutoFocus move security teams away from legacy manual approaches that rely on aggregating a growing number of detectionbased alerts and post-event mitigation, to preventing sophisticated attacks and enabling proactive hunting activities."

Prisma SaaS is a cloud access security broker (CASB) solution that helps secure and manage SaaS applications. It provides advanced capabilities in risk discovery, data loss prevention, compliance assurance, data governance, user behavior monitoring, and advanced threat prevention12. The three services that are part of Prisma SaaS are:

Data Loss Prevention: This service helps prevent the leakage or exposure of sensitive data stored in SaaS applications. It allows you to define data patterns, policies, and actions to protect your data from unauthorized access or sharing3.

Data Exposure Control: This service helps identify and remediate data exposure risks in SaaS applications. It scans your data at rest and classifies it based on its sensitivity and exposure level. It also provides recommendations and remediation actions to reduce the risk of data breaches4.

Threat Prevention: This service helps detect and block malicious activities and threats in SaaS applications. It leverages the WildFire and AutoFocus threat intelligence services to analyze user and file activity and identify indicators of compromise. It also provides alerts and response actions to mitigate the impact of threats5.

Prisma SaaS Overview

Prisma SaaS - Palo Alto Networks

Data Loss Prevention

Data Exposure Control

Threat Prevention