Page 55 - Cyber Defense eMagazine September 2025
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3. Challenges in Adapting Incident Response to Autonomous Agents

            A. Integration with Existing Systems

            Integrating  autonomous  agents  into  existing  IR  frameworks  and  tools  can  be  complex.  Security
            Information and Event Management (SIEM) platforms, Incident Response Management tools, and other
            legacy  systems  need  to  be  compatible  with  AI-driven  agents  to  ensure  seamless  data  sharing,
            communication,  and  automation.  SOCs  must  carefully  plan  how  to  incorporate  autonomous  agents
            without disrupting existing workflows.


            B. Ensuring Accuracy and Minimizing False Positives

            While autonomous agents can significantly reduce response times, they also run the risk of generating
            false positives or missing critical incidents. Ensuring that agents are properly trained and constantly
            updated  with  the  latest  threat  intelligence  is  essential  to  maintaining  their  accuracy.  SOCs  must
            continuously monitor agent activity and intervene when necessary to refine their detection capabilities.

            C. Security and Privacy Risks

            Autonomous agents, if not properly secured, can become a target for attackers themselves. Since these
            agents have access to sensitive systems and data, they must be rigorously protected against exploitation.
            Ensuring the integrity and confidentiality of agent-driven actions is crucial to prevent adversaries from
            compromising the response process.



            4. The Future of Incident Response with Autonomous Agents

            Looking ahead, the role of autonomous agents in incident response will only continue to grow. Future
            trends in agent-based IR include:

               •  Increased use of AI-driven agents for proactive threat hunting and advanced incident detection.
               •  More sophisticated integration with machine learning models that improve incident prediction
                   and response time.
               •  Full integration with threat intelligence platforms, enabling agents to respond to emerging threats
                   faster and with greater precision.

            As the capabilities of AI and machine learning continue to evolve, autonomous agents will play an even
            greater role in shaping the future of incident response, making it faster, more efficient, and better suited
            to the complex and dynamic nature of modern cyber threats.














            Cyber Defense eMagazine – September 2025 Edition                                                                                                                                                                                                          55
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