Assignment 4 cybersecurity strategy for the critical infrastructure | CSIS 343 - Cybersecurity

3. Intrusion Detection/Prevention Systems (IDPS):

Behavioral Analytics:

User Behavior Analytics (UBA): Implement UBA tools to analyze patterns of user behavior and detect deviations from normal activities, aiding in the identification of insider threats. Machine Learning Integration: Integrate machine learning algorithms into IDPS to enhance the system's ability to adapt and recognize new and evolving threats based on historical data. Threat Hunting Teams: Establish dedicated threat hunting teams tasked with actively searching for indicators of compromise that may go unnoticed by automated systems.

Threat Intelligence Integration:

Open Source Intelligence (OSINT): Incorporate open source intelligence feeds into threat intelligence platforms to gather information about potential threats from publicly available sources. Automated Threat Feeds: Utilize automated feeds that provide real-time threat intelligence updates, ensuring that IDPS is aware of the latest threat indicators and attack patterns. Sharing Platforms: Participate in threat intelligence sharing platforms and communities to exchange information with other organizations facing similar threats.

Automated Response:

Security Orchestration, Automation, and Response (SOAR): Implement SOAR solutions to automate incident response workflows, allowing for faster and more efficient mitigation of security incidents. Incident Playbooks: Develop incident response playbooks that outline automated response actions for common security incidents, ensuring a consistent and rapid reaction to emerging threats. Human-Machine Collaboration: Facilitate collaboration between security teams and automated systems, combining human expertise with machine speed for effective incident response.