Defending against zero- to low-cost attacks generated by threat actors (TA) is becoming increasingly complex as they leverage sophisticated generative AI-enabled infrastructure. TAs try to use AI tools in their attack planning to make social engineering schemes, convincing phishing emails, deepfake videos, different types of malware, and many other types of attack vectors. A potential solution to defend against these challenges is to enable the use of GenAI and AI agents in the Security Operations Center (SOC). An orchestrated workflow with a team of AI agents presents an opportunity for better response. In traditional detection and response, detections are not easily achieved, and manual responses cannot match the required machine-level speed. To avoid burnout and alert fatigue of SOC analysts, a shift in the SOC strategy is required by automating routine tasks using AI agents.