The recommended multifactor authentication (MFA) type for A .R.T.I.E., as suggested by Dell

Services, is A. Something you have and something you are. This type of MFA requires two distinct

forms of identification: one that the user possesses (something you have) and one that is inherent to

the user (something you are).

Explanation:

Something you have could be a physical token, a security key, or a mobile device that generates

time-based one-time passwords (TOTPs).

Something you are refers to biometric identifiers, such as fingerprints, facial recognition, or iris scans,

which are unique to each individual.

By combining these two factors, the authentication process becomes significantly more secure than

using any single factor alone. The physical token or device provides proof of possession, which is

difficult for an attacker to replicate, especially without physical access. The biometric identifier

ensures that even if the physical token is stolen, it cannot be used without the matching biometric

input.

Reference:

The use of MFA is supported by security best practices and standards, including those outlined by the

National Institute of Standards and Technology (NIST).

Dell’s own security framework likely aligns with these standards, advocating for robust

authentication mechanisms to protect against unauthorized access, especially in cloud environments

where the attack surface is broader.

In the context of A .R.T.I.E.'s case, where employees access sensitive applications and data remotely,

implementing MFA with these two factors will help mitigate the risk of unauthorized access and

potential data breaches. It is a proactive step towards enhancing the organization’s security posture

in line with Dell’s strategic advice.

:

User Analytics: UEBA systems analyze user behavior to establish a baseline of normal activities and

detect anomalies12.

Threat Detection: By monitoring for deviations from the baseline, UEBA can detect potential security

threats, such as compromised accounts or insider threats12.

Data Analysis: UEBA solutions ingest and analyze large volumes of data from various sources within

the organization to identify suspicious activities12.

Behavioral Analytics: UEBA uses behavioral analytics to understand how users typically interact with

the organization’s systems and data12.

Machine Learning and Automation: Advanced machine learning algorithms and automation are

employed to refine the analysis and improve the accuracy of anomaly detection over time12.

UEBA is essential for A .R.T.I.E. as it provides a comprehensive approach to security monitoring,

which is critical given the diverse and dynamic nature of their user base and the complexity of their

IT environment12.

:

People Risk Definition: People risk involves the potential for human error or intentional actions that

can lead to security incidents1.

Phishing and Social Engineering: The scenario described is typical of phishing, where attackers use

seemingly official communications to trick individuals into revealing sensitive information or

accessing malicious links1.

Employee Actions: Clicking on the button could potentially lead to the employee inadvertently

providing access to the company’s systems or revealing personal or company information1.

Dell’s Security Foundations Achievement: Dell’s Security Foundations Achievement emphasizes the

importance of recognizing and minimizing phishing exploits as part of managing people risk21.

Mitigation Measures: Training employees to recognize and respond appropriately to phishing

attempts is a key strategy in mitigating people risk1.

In this context, the risk is categorized as ‘people’ because it directly involves the potential actions of

an individual employee that could compromise security1.

To best manage cybersecurity incidents at A .R.T.I.E., the steps should be arranged in the following sequence: Prepare to deal with incidents: Establish a robust incident response plan, including policies, procedures, and an incident response team. Identify potential security incidents: Use monitoring tools and techniques to detect anomalies that may indicate security incidents. Assess incidents and make decisions about how they are to be addressed: Evaluate the severity of the incident and decide on the appropriate response actions. Contain, investigate, and resolve the incidents: Take immediate action to contain the incident, investigate its cause, and resolve any issues to restore normal operations. Make changes to improve the process: After an incident, review the response process and make necessary changes to prevent future incidents and improve response strategies. This sequence aligns with the best practices for incident management, ensuring that A .R.T.I.E. is prepared for, can quickly respond to, and recover from cybersecurity incidents while continuously improving their security posture. The Dell Security Foundations Achievement documents would likely support this structured approach to managing cybersecurity incidents1.

The security hardening techniques should be matched with the corresponding source area as follows: Operating System: Enables secure boot and removes unnecessary drivers. Database: Implements Role-Based Access Control and removes unnecessary database services. Network: Implements Intrusion Prevention System. Server: Encrypts the host device using hardware trusted privilege. Operating System Hardening: Involves enabling secure boot to ensure that only trusted software is loaded during the system startup and removing unnecessary drivers to minimize potential vulnerabilities1. Database Hardening: Role-Based Access Control (RBAC) restricts system access to authorized users, and removing unnecessary services reduces the attack surface1. Network Hardening: An Intrusion Prevention System (IPS) monitors network traffic for suspicious activity and takes action to prevent intrusions1. Server Hardening: Encrypting the host device using hardware-based mechanisms like Trusted Platform Module (TPM) provides a secure environment for the server’s operating system1. These matches are based on standard security practices that align with the Dell Security Foundations Achievement’s emphasis on security hardening across different areas of IT infrastructure1.

Based on the Dell Security Foundations Achievement and the NIST Cybersecurity Framework (CSF), the core NIST CSF component functions can be matched with the descriptions as follows: Identify: Cultivate the organizational understanding of cybersecurity risks. Protect: Plan and implement appropriate safeguards. Detect: Develop ways to identify cybersecurity breaches. Respond: Quickly mitigate damage if a cybersecurity incident is detected. Recover: Restore capabilities that were impaired due to a cyberattack12345. Identify Function: Involves understanding the business context, the resources that support critical functions, and the related cybersecurity risks3. Protect Function: Includes the appropriate safeguards to ensure delivery of critical infrastructure services4. Detect Function: Defines the appropriate activities to identify the occurrence of a cybersecurity event4. Respond Function: Includes the appropriate activities to take action regarding a detected cybersecurity event4. Recover Function: Identifies appropriate activities to maintain plans for resilience and to restore any capabilities or services that were impaired due to a cybersecurity event4. These functions are integral to the NIST CSF and provide a high-level strategic view of the lifecycle of an organization’s management of cybersecurity risk12345. The Dell Security Foundations Achievement documents would likely align with these functions, emphasizing their importance in a comprehensive cybersecurity strategy12. Thank you for your visit.

Signature-Based Detection: This method relies on known signatures or patterns of data that match

known malware or ransomware samples1.

Static Analysis: Involves analyzing files without executing them to compare their hashes against a

database of known threats1.

Ransomware Sample Hash: A unique identifier for a ransomware sample that can be matched against

a database to identify known ransomware1.

Dell Security Foundations Achievement: The Dell Security Foundations Achievement documents

likely cover the importance of signature-based detection as part of a comprehensive cybersecurity

strategy1.

Effectiveness: While signature-based detection is effective against known threats, it may not detect

new, unknown (zero-day) ransomware variants1.

Signature-based detection is a fundamental component of many cybersecurity defenses, particularly

for identifying and preventing known ransomware attacks1.

Based on the case study provided and the requirements for A .R.T.I.E., the most suitable framework

to enhance the overall security and resilience of their critical infrastructure, and to outline methods

to reduce their cybersecurity risk would be:

A . NIST CSF

The NIST Cybersecurity Framework (CSF) is recommended for A .R.T.I.E. to enhance security and

resilience. The NIST CSF provides guidelines for organizations to manage cybersecurity risks in a

structured and prioritized manner12.

Identify: A .R.T.I.E. can use the NIST CSF to identify its digital assets, cybersecurity policies, and the

current threat landscape1.

Protect: Implement protective technology to ensure that critical infrastructure services are not

disrupted1.

Detect: Use the framework to implement advanced detection processes to quickly identify

cybersecurity events1.

Respond: Develop and implement appropriate activities to take action regarding a detected

cybersecurity incident1.

Recover: Plan for resilience and to restore any capabilities or services that were impaired due to a

cybersecurity incident1.

The NIST CSF aligns with A .R.T.I.E.'s need for a secure migration to the public cloud and addresses

the need for a holistic security capability that ensures security across the organization2. It also

supports the Zero Trust model, which is crucial for A .R.T.I.E.'s open platform nature1.