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Which endpoint tool or agent can enact behavior-based protection?
Cortex XDR is an endpoint tool or agent that can enact behavior-based protection. Behavior-based protection is a method of detecting and blocking malicious activities based on the actions or potential actions of an object, such as a file, a process, or a network connection. Behavior-based protection can identify and stop threats that are unknown or evade traditional signature-based detection, by analyzing the object's behavior for suspicious or abnormal patterns. Cortex XDR is a comprehensive solution that provides behavior-based protection for endpoints, networks, and cloud environments. Cortex XDR uses artificial intelligence and machine learning to continuously monitor and analyze data from multiple sources, such as logs, events, alerts, and telemetry. Cortex XDR can detect and prevent advanced attacks, such as ransomware, fileless malware, zero-day exploits, and lateral movement, by applying behavioral blocking and containment rules. Cortex XDR can also perform root cause analysis, threat hunting, and incident response, to help organizations reduce the impact and duration of security incidents.Reference:
Cortex XDR - Palo Alto Networks
Behavioral blocking and containment | Microsoft Learn
Behaviour Based Endpoint Protection | Signature-Based Security - Xcitium
The 12 Best Endpoint Security Software Solutions and Tools [2024]
Which term describes data packets that move in and out of the virtualized environment from the host network or a corresponding traditional data center?
Which three services are part of Prisma SaaS? (Choose three.)
An Administrator wants to maximize the use of a network address. The network is 192.168.6.0/24 and there are three subnets that need to be created that can not overlap. Which subnet would you use for the network with 120 hosts?
Requirements for the three subnets: Subnet 1: 3 host addresses
Subnet 2: 25 host addresses
Subnet 3: 120 host addresses
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(32n)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(3230)2=2
. A /25 subnet mask has 25 bits in the network portion, so the number of hosts per subnet is
2(3225)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. Reference:
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
In a traditional data center what is one result of sequential traffic analysis?
Multiple policies, no policy reconciliation tools: Sequential traffic analysis (stateful inspection, application control, intrusion prevention system (IPS), anti-malware, etc.) in traditional data center security solutions requires a corresponding security policy or profile, often using multiple management tools. The result is that your security policies become convoluted as you build and manage a firewall policy with source, destination, user, port, and action; an application control policy with similar rules; and any other threat prevention rules required. Multiple security policies that mix positive (firewall) and negative (application control, IPS, and anti-malware) control models can cause security holes by missing traffic and/or not identifying
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