5 papers
SecMate: Multi-Agent Adaptive Cybersecurity Troubleshooting with Tri-Context Personalization
Yair Meidan, Omri Haller, Yulia Moshan +4
Recent advances in large language models and agentic frameworks have enabled virtual customer assistants (VCAs) for complex support. We present SecMate, a multi-agent VCA for cyber…
KubeGuard: LLM-Assisted Kubernetes Hardening via Configuration Files and Runtime Logs Analysis
Omri Sgan Cohen, Ehud Malul, Yair Meidan +3
The widespread adoption of Kubernetes (K8s) for orchestrating cloud-native applications has introduced significant security challenges, such as misconfigured resources and overly p…
ImpReSS: Implicit Recommender System for Support Conversations
Omri Haller, Yair Meidan, Dudu Mimran +2
Following recent advancements in large language models (LLMs), LLM-based chatbots have transformed customer support by automating interactions and providing consistent, scalable se…
ProfiLLM: An LLM-Based Framework for Implicit Profiling of Chatbot Users
Shahaf David, Yair Meidan, Ido Hersko +4
Despite significant advancements in conversational AI, large language model (LLM)-powered chatbots often struggle with personalizing their responses according to individual user ch…
GenKubeSec: LLM-Based Kubernetes Misconfiguration Detection, Localization, Reasoning, and Remediation
Ehud Malul, Yair Meidan, Dudu Mimran +2
A key challenge associated with Kubernetes configuration files (KCFs) is that they are often highly complex and error-prone, leading to security vulnerabilities and operational set…