Agentic SABRE: An Uncertainty-Aware Neuro-Symbolic Multi-Agent Framework for Adaptive Ransomware Detection
arXiv:2607.04292v1 Announce Type: new Abstract: Ransomware has evolved into a complex, adaptive, and fast-moving adversary category in which static signatures and monolithic classifiers fail to generalise under concept drift, evasion, and behavioural polymorphism. In this paper, we present Agentic SABRE (Semantic-Behavioural Arbitration for Ransomware Evaluation), an uncertainty-aware, neuro-symbolic, multi-agent framework for adaptive ransomware detection. SABRE fuses semantic, representation-based evidence with behavioural, time-window forensic telemetry and employs Monte Carlo Dropout infer
The increasing sophistication of ransomware, characterized by its adaptive and evasive nature, necessitates advanced detection mechanisms beyond traditional signatures, making neuro-symbolic multi-agent frameworks particularly timely.
This development addresses a critical cybersecurity vulnerability impacting all sectors, providing a more robust defense against increasingly complex and financially damaging cyber threats.
The adoption of uncertainty-aware, neuro-symbolic, multi-agent systems will make ransomware detection significantly more adaptive and resilient to concept drift and evasion techniques.
- · Cybersecurity firms specializing in AI/ML solutions
- · Organizations with critical infrastructure
- · Cloud service providers
- · AI researchers in cybersecurity
- · Ransomware gangs
- · Traditional signature-based antivirus vendors
- · Organizations with outdated cybersecurity defenses
Improved detection rates for advanced ransomware strains will reduce successful attacks and associated financial losses.
A shift in cybercriminal tactics towards more sophisticated social engineering or zero-day exploits, anticipating better behavioral detection.
Potential for sovereign entities to integrate such advanced frameworks into national cyber defense strategies, influencing geopolitical cybersecurity posture.
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Read at arXiv cs.AI