212-82 Exam Dumps : Certified Cybersecurity Technician (CCT)

 Risk and impact analysis is the threat-modeling step in which Martin evaluated the severity level of the threat in the above scenario. Threat modeling is a process that involves identifying, analyzing, and mitigating threats and risks to a system or network. Threat modeling can be used to improve the security and resilience of a system or network by applying various methods or techniques, such as STRIDE, DREAD, PASTA, etc. Threat modeling consists of various steps or phases that perform different tasks or roles. Risk and impact analysis is a threat-modeling step that involves assessing the likelihood and consequences of threats and risks to a system or network . Risk and impact analysis can be used to evaluate the severity level of threats and risks and prioritize them for mitigation . In the scenario, Martin received breaching alerts for an application. He identified that a vulnerability in the application allowed attackers to enter malicious input. Martin evaluated the threat severity and extent of damage that could be caused by this vulnerability. He then escalated the issue to the security management team to determine appropriate mitigation strategies. This means that he performed risk and impact analysis for this purpose. Identify vulnerabilities is a threat-modeling step that involves finding and documenting the weaknesses or flaws in a system or network that can be exploited by threats or risks . Application overview is a threat-modeling step that involves defining and understanding the scope, architecture, components, and functionality of a system or network .Decompose the application is a threat-modeling step that involves breaking down a system or network into smaller and simpler elements, such as data flows, processes, assets, etc.

For NexaCorp to effectively monitor and analyze system logs, implementing a Security Information and Event Management (SIEM) system is the optimal approach:

SIEM Overview: SIEM systems collect, normalize, and analyze log data from various sources in real-time.

Benefits:

Centralization: Aggregates logs from all systems into a single platform.

Correlation: Identifies patterns and correlates events from different sources to detect anomalies.

Implementation Steps:

Select a SIEM Solution: Choose a suitable SIEM tool (e.g., Splunk, ELK Stack, QRadar).

Integration: Configure the SIEM to collect logs from all relevant systems.

Alerting and Reporting: Set up alerts for suspicious activities and generate periodic reports.

References:

SIEM Basics: Link

Implementing SIEM: Link

GDPR Overview:

The General Data Protection Regulation (GDPR) is a comprehensive data protection law in the European Union that sets out requirements for companies and organizations on collecting, storing, and managing personal data.