Sep 2026· ICST Transactions on Scalable Information Systems· Vol 13· 0 citations· 18 references
TL;DR
The framework makes distributed data-security response auditable and quantitatively evaluable and the main improvement direction is stronger planning verification for complex multi-step incidents.
Abstract
INTRODUCTION: Distributed networks require security operations center (SOC) automation that connects data security monitoring, privacy-aware evidence handling, controlled execution, and measurable evidence. Static playbooks cannot fully handle ambiguous cross-domain incident context.
Objectives
This paper presents an executable multi-agent framework for data security monitoring and response in distributed networks.
Methods
LLM-based roles generate event analysis, tasks, actions, commands, execution records, and summaries. Security orchestration, automation, and response (SOAR) playbooks and a virtual security capability layer provide controlled execution and repeatable evaluation.
Results
On 83 labeled incidents, the framework achieved 0.9684 precision, 0.4742 recall, 0.6367 F1-score, and 76.45 s average handling time for tool-call evaluation.
Conclusion
The framework makes distributed data-security response auditable and quantitatively evaluable. The main improvement direction is stronger planning verification for complex multi-step incidents.
INTRODUCTION: Distributed networks generate heterogeneous security telemetry while moving data across endpoints, users, services, and operational domains. SOCs need methods that protect data assets, preserve auditability, and avoid unsafe tool calls.OBJECTIVES: This paper proposes a data-model dual-driven method, in wh...
Yunxiao Wang, Hai-Zhuang Liu, Zi-Han Liu et al.· ICST Transactions on Scalabl...· 0 citations
An Intelligent Security Operations Automation Algorithm (ISOAA) for AI-enabled SOAR is proposed that achieves lower mean time to detect, lower mean time to respond, higher containment success, improved precision and recall, reduced false-positive automation, and lower compliance-breach rate than rule-based SOAR.
Ikenna Mbuko, O. Ijiga, L. Enyejo· International Journal of Eng...· 0 citations
The results show that TraceGrant provides a unified governance layer that connects trusted user intent, runtime evidence, concrete tool execution, and verified task completion.
Bohao Liao, Jing-Chao Wang, Qi-Peng Song et al.· 1 citation
Large language model (LLM)-based agents increasingly connect model-generated decisions to security-sensitive software capabilities such as command execution, filesystem access, network communication, browser control, and external tools. Existing analyses often use predefined sensitive operations as anchors, but operati...
Modern safety-critical systems are increasingly built from blackbox components: cloud services, third-party APIs, autonomous systems, and AI agents whose source code or internal state may be unavailable for inspection. To certify safe and secure inter-component interactions in such systems, security and compliance team...
Karuna Grewal· Companion Proceedings of the...· 0 citations
Multi-agent systems (MAS) require runtime security mechanisms that continue after authentication and connect detection to enforcement. Existing deployments often treat telemetry collection, anomaly detection, trust scoring, and policy enforcement as separate functions, increasing response delay and leaving thresholds m...
T. Kundu, Mukesh Dua, Raju Chowdhury et al.· 2026 International Conferenc...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.