350-701 Exam Dumps - Implementing and Operating Cisco Security Core Technologies (SCOR 350-701)

Explanation

Explanation

NetFlow is typically used for several key customer applications, including the following:

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Billing and accounting. NetFlow data provides fine-grained metering (for instance, flow data includes details such as IP addresses, packet and byte counts, time stamps, type of service (ToS), and application ports) for highly flexible and detailed resource utilization accounting. Service providers may use the information for billing based on time of day, bandwidth usage, application usage, quality of service, and so on. Enterprise customers may use the information for departmental charge back or cost allocation for resource utilization.

https://confluence.netvizura.com/display/NVUG/Traditional+vs.+Flexible+NetFlow

NetFlow Secure Event Logging (NSEL) is a security logging mechanism that is built on NetFlow Version 9 technology. It provides a stateful, IP flow tracking method that exports only those records that indicate significant events in a flow, such as flow-create, flow-teardown, and flow-denied. NSEL events are triggered by the event that caused the state change in the flow. This reduces the amount of data that is exported and provides more relevant information for security analysis. NSEL also supports periodic flow-update events, which provide byte counters over the duration of the flow. These events are usually time-driven, but may also be triggered by state changes in the flow. NSEL uses templates to describe the format of the data records that are exported through NetFlow. Each event has several record formats or templates associated with it. NSEL delivers templates and data records to configured NSEL collectors through NetFlow over UDP only. NSEL also allows filtering of NSEL events based on the traffic and event type through Modular Policy Framework, and then sends records to different collectors. The supported event types are flow-create, flow-denied, flow-teardown, flow-update, and all. References :=

Some possible references are:

NetFlow Secure Event Logging (NSEL) - Cisco

NetFlow Secure Event Logging (NSEL) - Cisco

Implementing and Operating Cisco Security Core Technologies (SCOR) v1.0 (source book)

Explanation

Explanation

Many enterprises prefer to deploy development workloads in the public cloud, primarily for convenience and

faster deployment. This approach can cause concern for IT administrators, who must control the flow of IT

traffic and spending and help ensure the security of data and intellectual property. Without the proper controls,

data and intellectual property can escape this oversight. The Cisco Intercloud Fabric solution helps control this

shadow IT, discovering resources deployed in the public cloud outside IT control and placing these resources

under Cisco Intercloud Fabric control.

Cisco Intercloud Fabric addresses the cloud deployment requirements appropriate for two hybrid cloud

deployment models: Enterprise Managed (an enterprise manages its own cloud environments) and Service

Provider Managed (the service provider administers and controls all cloud resources).

Explanation

DTLS is used for delay sensitive applications (voice and video) as its UDP based while TLS is TCP based.

Therefore DTLS offers strongest throughput performance. The throughput of DTLS at the time of AnyConnect connection can be expected to have processing performance close to VPN throughput.

Explanation

Cisco Cognitive Threat Analytics helps you quickly detect and respond to sophisticated, clandestine attacks that are already under way or are attempting to establish a presence within your environment. The solution automatically identifies and investigates suspicious or malicious web-based traffic. It identifies both potential and confirmed threats, allowing you to quickly remediate the infection and reduce the scope and damage of an attack, whether it’s a known threat campaign that has spread across multiple organizations or a unique threat you’ve never seen before.

Detection and analytics features provided in Cognitive Threat Analytics are shown below:

+ Data exfiltration: Cognitive Threat Analytics uses statistical modeling of an organization’s network to identify anomalous web traffic and pinpoint the exfiltration of sensitive data. It recognizes data exfiltration even in HTTPS-encoded traffic, without any need for you to decrypt transferred content

+ Command-and-control (C2) communication: Cognitive Threat Analytics combines a wide range of data, ranging from statistics collected on an Internet-wide level to host-specific local anomaly scores. Combining these indicators inside the statistical detection algorithms allows us to distinguish C2 communication from benign traffic and from other malicious activities. Cognitive Threat Analytics recognizes C2 even in HTTPSencoded or anonymous traffic, including Tor, without any need to decrypt transferred content, detecting a broad

range of threats

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https://www.cisco.com/c/en/us/td/docs/security/firepower/623/configuration/guide/fpmc-config-guide-v623/access_control_using_intrusion_and_file_policies.html#:~:text=File%20Policies-,Access%20Control%20Traffic%20Handling%20with%20Intrusion%20and%20File%20Policies,-The%20following%20diagram

the first three access control rules in the policy—Monitor, Trust, and Block—cannot inspect matching traffic. Monitor rules track and log but do not inspect network traffic, so the system continues to match traffic against additional rules to determine whether to permit or deny it

https://www.cisco.com/c/en/us/td/docs/security/firepower/623/configuration/guide/fpmc-config-guide-v623/access_control_rules.html#:~:text=Rule%20Blocking%20Actions-,Access%20Control%20Rule%20Allow%20Action,network%20discovery%20policy%3B%20additionally%2C%20application%20discovery%20is%20limited%20for%20encrypted%20sessions.,-Related%20Concepts

 Patching is important for security, compliance, stability, and reputation reasons. Patches are released to fix security vulnerabilities in software and systems, which can be exploited by cybercriminals to cause data breaches, data loss, or other damage. Failure to patch these vulnerabilities leaves the company’s systems exposed to potential security risks. Patch management helps to minimize these risks by ensuring that all software and systems are up-to-date with the latest security patches. Patch management also helps to comply with regulatory and industry standards that require a certain level of security, and to avoid legal consequences for non-compliance. Additionally, patches provide bug fixes and other updates that improve the stability and performance of software and systems, and prevent system crashes, downtime, and other issues that can negatively impact the business operations. Finally, patch management helps to maintain a positive reputation for the company, as a security breach or downtime caused by unpatched vulnerabilities can damage the customer trust and loyalty, and result in revenue loss. References:

5 Patch Management Best Practices for Success in 2023 - TechRepublic

Six Patch Management Best Practices [Updated 2024] - Heimdal Security