Can SOC Operators Explain their Decisions while Triaging Alarms? A Real-World Study
Jessica Moosmann, Irdin Pekaric, Giovanni Apruzzese
TLDR
Study finds SOC operators struggle to explain alarm triage decisions despite high accuracy, highlighting a need for better decision-support tools.
Key contributions
- Systematic review shows limited prior research on SOC operators' decision explanation ability.
- Field study with 12 real-world SOC analysts triaging actual alarms.
- Analysts correctly identified true/false alarms 83% of the time.
- Only 39% of correct decisions were accompanied by accurate justifications.
Why it matters
This paper reveals a critical gap in Security Operations Centers: while operators are good at identifying threats, they often can't explain their reasoning. This highlights an urgent need for advanced decision-support systems that not only guide correct actions but also foster understanding and articulable justification, improving overall security posture and training.
Original Abstract
Security Operations Centers (SOCs) are pivotal in modern enterprises. Tasked to monitor complex network environments constantly under attack, SOCs can be active 24/7 and can include hundreds of operators supported by state-of-the-art technologies. Abundant research has studied the internal processes of SOCs, highlighting their pros and cons, as well as the challenges faced by SOC analysts -- such as dealing with the overwhelming number of false alarms triggered by automated security mechanisms. In this context, we wonder: given that "someone" must triage the alarms, and that such triaging must be grounded on established knowledge or evidence-based reasoning, can SOC employees justify why a certain decision was taken while triaging alarms? Answering such a research question (RQ) can better guide future efforts. We hence tackle this RQs. First, via a systematic literature review across 257 research documents, we provide evidence that such RQ received limited attention so far. Then, we partner-up with a real-world SOC and carry out a field study (n=12) with SOC employees. We show them real alarms raised in their SOC, and inquire whether such alarms are indicative of true security problems or not. Then, we ask to explain their decision. We found that while most analysts were able to separate "true from false" alarms (the decision was correct in 83% of the cases), a correct justification was hardly provided (only 39% of the provided explanations reflected the actual root cause). Ultimately, our results highlight the need for decision-support systems that help SOC analysts not only make the right call -- but also understand and articulate why it is right.
📬 Weekly AI Paper Digest
Get the top 10 AI/ML arXiv papers from the week — summarized, scored, and delivered to your inbox every Monday.