13 citations · 37 across the 15 of their papers we have counts for
15 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…
AgentGuardian: Learning Access Control Policies to Govern AI Agent Behavior
Nadya Abaev, Denis Klimov, Gerard Levinov +3
Artificial intelligence (AI) agents are increasingly used in a variety of domains to automate tasks, interact with users, and make decisions based on data inputs. Ensuring that AI…
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…
Rogue Cell: Adversarial Attack and Defense in Untrusted O-RAN Setup Exploiting the Traffic Steering xApp
Eran Aizikovich, Dudu Mimran, Edita Grolman +2
The Open Radio Access Network (O-RAN) architecture is revolutionizing cellular networks with its open, multi-vendor design and AI-driven management, aiming to enhance flexibility a…
Detection of Compromised Functions in a Serverless Cloud Environment
Danielle Lavi, Oleg Brodt, Dudu Mimran +2
Serverless computing is an emerging cloud paradigm with serverless functions at its core. While serverless environments enable software developers to focus on developing applicatio…
LLMCloudHunter: Harnessing LLMs for Automated Extraction of Detection Rules from Cloud-Based CTI
Yuval Schwartz, Lavi Benshimol, Dudu Mimran +2
As the number and sophistication of cyber attacks have increased, threat hunting has become a critical aspect of active security, enabling proactive detection and mitigation of thr…
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…
Observability and Incident Response in Managed Serverless Environments Using Ontology-Based Log Monitoring
Lavi Ben-Shimol, Edita Grolman, Aviad Elyashar +7
In a fully managed serverless environment, the cloud service provider is responsible for securing the cloud infrastructure, thereby reducing the operational and maintenance efforts…
CodeCloak: A Method for Evaluating and Mitigating Code Leakage by LLM Code Assistants
Amit Finkman Noah, Avishag Shapira, Eden Bar Kochva +4
LLM-based code assistants are becoming increasingly popular among developers. These tools help developers improve their coding efficiency and reduce errors by providing real-time s…
Evaluating the Security of Open Radio Access Networks
Dudu Mimran, Ron Bitton, Yehonatan Kfir +5
The Open Radio Access Network (O-RAN) is a promising RAN architecture, aimed at reshaping the RAN industry toward an open, adaptive, and intelligent RAN. In this paper, we conducte…
Adversarial Machine Learning Threat Analysis and Remediation in Open Radio Access Network (O-RAN)
Edan Habler, Ron Bitton, Dan Avraham +6
O-RAN is a new, open, adaptive, and intelligent RAN architecture. Motivated by the success of artificial intelligence in other domains, O-RAN strives to leverage machine learning (…
Evaluation of Security Solutions for Android Systems
Asaf Shabtai, Dudu Mimran, Yuval Elovici
With the increasing usage of smartphones a plethora of security solutions are being designed and developed. Many of the security solutions fail to cope with advanced attacks and ar…
Detection of Deviations in Mobile Applications Network Behavior
L. Chekina, D. Mimran, L. Rokach +2
In this paper a novel system for detecting meaningful deviations in a mobile application's network behavior is proposed. The main goal of the proposed system is to protect mobile d…