Incidence response involves procedures that help in the identification and eliminating of system attacks. Therefore, firms have ensured that they have a team that responds to these threats. This enables the organization to quickly halt these issues, minimizing the corporation’s damage and preventing future attacks. The incidence response involves various aspects such as tools, team structure, and log management system that can be analyzed to determine their importance.
As a manager of the incidence response team, one should organize the team to be prepared for any emergence of a cyber-attack. The team structure is also analyzed, whereby a manager can create groups with leaders who can guide the members during various challenges (Whitman & Mattord, 2021). Moreover, people should analyze the IR policies, the definition of communication guidelines, and the incorporation of threat intelligence should be exercised. Conduction of cyber hunting exercises and assessing the threat detection capabilities to ensure the team is ready for any attack should also be practiced.
Managers can also ensure the appropriate detection and reporting of security events is achieved. These should be instilled in the team by encouraging monitored safety actions to detect incidents by correlating alerts within the Security Information and Event Management (SIEM) solutions. Furthermore, managers can ensure that reporting includes the accommodation for regulatory reporting escalations. In this case, one can guarantee that the team is equipped with enough resources and skills to analyze the collected data. The skills and detailed understanding of live system responses, digital forensics, memory analysis, and malware analysis to capture any attack will also be essential in the incident response. Blockchain technology has also helped companies to secure their data (Moreno et al., 2020). For the system’s effectiveness, the manager can ensure that there are trained personnel in each sector. Moreover, the team must be well equipped with the necessary tools and funds from the organization for easy and effective incidence handling.
Instruction Detection System (IDS) is a tool that detects and recognizes an attack and takes and immediate action to evaluate the activities and restore them to normal. IDS prevents the system from traffic by sending an alarm to the incidence response team. It makes the detection of attackers easy as it searches for signatures from known attacks and alerts the team before the invader harms the system (Havens, 2020). IDS are also essential since they monitor the functions of routers, firewalls, key management servers, and files for easy detection of an attack.
The NIST Special Publication SP800-61 Revision 1 seeks to help the developed response teams by providing easy procedures. It has classified the incidence into various categories for easy handling. These classifications include denial of service, which is an attack that prevents or impairs authorized use of the network. Malicious code is another aspect involving a virus that infects the host system. Unauthorized access is also common, and it entails a person gaining access to the network without any permission. This has led to the loss of crucial data in various companies. An inappropriate usage is also an attack where a person violates the suitable norm of the network. The multiple component is an incident involving several incidents that can attack a system (Gong & Lee 2021). Knowing these incident categories helps the personnel halt the attack and prevent any future attacks.
Log Management system is one of the important security systems in network use and management in an organization. The logging mechanism and ability to track users’ activities are critical in preventing, detecting, and minimizing any impact of data compromise. This helps in the easy determination of the cause and contains further dangers. Systems such as Splunk and Sumo logic can be used in IR as they help in identifying performance or configuration issues. Some of the problems that could arise if not utilized can involve anomalies and poor system health. Moreover, organizations may fail to detect particular log events and patterns in log data. Therefore, there are various aspects that people can analyze when focusing on IR to improve the data security of an organization.
References
Gong, S., & Lee, C. (2021). Cyber threat intelligence framework for incident response in an energy cloud platform. Electronics, 10(3), 239.
Havens, R. (2020). Log management best practices for better IT governance: A Delphi study of log management systems administrators and managers (Publication No. 28261282) [Doctoral dissertation, Capella University]. ProQuest Dissertations Publishing.
Moreno, J., Serrano, M. A., Fernandez, E. B., & Fernández-Medina, E. (2020). Improving incident response in big data ecosystems by using blockchain technologies. Applied Sciences, 10(2), 724.
Whitman, M. E., & Mattord, H. J. (2021). Principles of incident response and disaster recovery. Cengage Learning.