SWARM INTELLIGENCE IN SAAS ECOSYSTEMS: MULTI-AGENT COORDINATION FOR THREAT NEUTRALIZATION

Abstract

The rapid proliferation of SaaS applications within enterprise environments has created complex, interconnected ecosystems that present expanded attack surfaces for sophisticated cyberthreats. Traditional security methodologies encounter challenges when addressing the scale, dynamism, and distributed nature of these environments. This research introduces an innovative framework that applies swarm intelligence principles within multi-agent systems (MAS) to bolster security in Software as a Service (SaaS) ecosystem. By emulating the natural collective behavior of decentralized self-organizing systems, our approach empowers autonomous agents to collaboratively detect, analyze, and neutralize cyber threats without requiring centralized control. The findings indicate substantial enhancements in response time, threat coverage, and adaptive defense capabilities compared with conventional security models. This decentralized strategy effectively addresses critical SaaS security issues, including configuration drift, access management vulnerabilities, and evolving threat landscapes while delivering real-time protection across interconnected application environments.