Image de couverture de livre

KubeGuard: LLM-Assisted Kubernetes Hardening via Configuration Files and Runtime Logs Analysis

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Cohen, Omri Sgan, Malul, Ehud, Meidan, Yair, Mimran, Dudu, Elovici, Yuval, Shabtai, Asaf
Format:	Preprint
Publié:	2025
Sujets:	Cryptography and Security Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

GenKubeSec: LLM-Based Kubernetes Misconfiguration Detection, Localization, Reasoning, and Remediation
par: Malul, Ehud, et autres
Publié: (2024)

SecMate: Multi-Agent Adaptive Cybersecurity Troubleshooting with Tri-Context Personalization
par: Meidan, Yair, et autres
Publié: (2026)

ImpReSS: Implicit Recommender System for Support Conversations
par: Haller, Omri, et autres
Publié: (2025)

LLMCloudHunter: Harnessing LLMs for Automated Extraction of Detection Rules from Cloud-Based CTI
par: Schwartz, Yuval, et autres
Publié: (2024)

Rogue Cell: Adversarial Attack and Defense in Untrusted O-RAN Setup Exploiting the Traffic Steering xApp
par: Aizikovich, Eran, et autres
Publié: (2025)

Detection of Compromised Functions in a Serverless Cloud Environment
par: Lavi, Danielle, et autres
Publié: (2024)

ProfiLLM: An LLM-Based Framework for Implicit Profiling of Chatbot Users
par: David, Shahaf, et autres
Publié: (2025)

Rule-ATT&CK Mapper (RAM): Mapping SIEM Rules to TTPs Using LLMs
par: Wudali, Prasanna N., et autres
Publié: (2025)

CodeCloak: A Method for Evaluating and Mitigating Code Leakage by LLM Code Assistants
par: Noah, Amit Finkman, et autres
Publié: (2024)

Observability and Incident Response in Managed Serverless Environments Using Ontology-Based Log Monitoring
par: Ben-Shimol, Lavi, et autres
Publié: (2024)

KubeFence: Security Hardening of the Kubernetes Attack Surface
par: Cesarano, Carmine, et autres
Publié: (2025)

AgentGuardian: Learning Access Control Policies to Govern AI Agent Behavior
par: Abaev, Nadya, et autres
Publié: (2026)

SoK: Cybersecurity Assessment of Humanoid Ecosystem
par: Surve, Priyanka Prakash, et autres
Publié: (2025)

DOMBA: Double Model Balancing for Access-Controlled Language Models via Minimum-Bounded Aggregation
par: Segal, Tom, et autres
Publié: (2024)

Peacock: UEFI Firmware Runtime Observability Layer for Detection and Response
par: Gorelik, Hadar Cochavi, et autres
Publié: (2026)

MIA-EPT: Membership Inference Attack via Error Prediction for Tabular Data
par: German, Eyal, et autres
Publié: (2025)

RAPID: Robust APT Detection and Investigation Using Context-Aware Deep Learning
par: Amaru, Yonatan, et autres
Publié: (2024)

Real-World Adversarial Attacks on RF-Based Drone Detectors
par: Gazit, Omer, et autres
Publié: (2025)

Tag&Tab: Pretraining Data Detection in Large Language Models Using Keyword-Based Membership Inference Attack
par: Antebi, Sagiv, et autres
Publié: (2025)

LexiMark: Robust Watermarking via Lexical Substitutions to Enhance Membership Verification of an LLM's Textual Training Data
par: German, Eyal, et autres
Publié: (2025)

SHIELD: APT Detection and Intelligent Explanation Using LLM
par: Gandhi, Parth Atulbhai, et autres
Publié: (2025)

RuleGenie: SIEM Detection Rule Set Optimization
par: Shukla, Akansha, et autres
Publié: (2025)

QuantAttack: Exploiting Dynamic Quantization to Attack Vision Transformers
par: Baras, Amit, et autres
Publié: (2023)

From Tool Orchestration to Code Execution: A Study of MCP Design Choices
par: Felendler, Yuval, et autres
Publié: (2026)

Tab-MIA: A Benchmark Dataset for Membership Inference Attacks on Tabular Data in LLMs
par: German, Eyal, et autres
Publié: (2025)

UEFI Memory Forensics: A Framework for UEFI Threat Analysis
par: Segal, Kalanit Suzan, et autres
Publié: (2025)

DeSparsify: Adversarial Attack Against Token Sparsification Mechanisms in Vision Transformers
par: Yehezkel, Oryan, et autres
Publié: (2024)

GPT in Sheep's Clothing: The Risk of Customized GPTs
par: Antebi, Sagiv, et autres
Publié: (2024)

Towards an End-to-End (E2E) Adversarial Learning and Application in the Physical World
par: Biton, Dudi, et autres
Publié: (2025)

ATAG: AI-Agent Application Threat Assessment with Attack Graphs
par: Gandhi, Parth Atulbhai, et autres
Publié: (2025)

Provably Protecting Fine-Tuned LLMs from Training Data Extraction while Preserving Utility
par: Segal, Tom, et autres
Publié: (2026)

FreakOut-LLM: The Effect of Emotional Stimuli on Safety Alignment
par: Kuznetsov, Daniel, et autres
Publié: (2026)

ConGISATA: A Framework for Continuous Gamified Information Security Awareness Training and Assessment
par: Cohen, Ofir, et autres
Publié: (2026)

SCyTAG: Scalable Cyber-Twin for Threat-Assessment Based on Attack Graphs
par: Tayouri, David, et autres
Publié: (2025)

Perfectly Covert Communication Assisted by an Intelligent Reflecting Surface
par: Elimelech, Or, et autres
Publié: (2022)

Sharpening Kubernetes Audit Logs with Context Awareness
par: Franzil, Matteo, et autres
Publié: (2025)

Addressing Key Challenges of Adversarial Attacks and Defenses in the Tabular Domain: A Methodological Framework for Coherence and Consistency
par: Itzhakev, Yael, et autres
Publié: (2024)

LISAA: A Framework for Large Language Model Information Security Awareness Assessment
par: Cohen, Ofir, et autres
Publié: (2024)

FRAME : Comprehensive Risk Assessment Framework for Adversarial Machine Learning Threats
par: Shapira, Avishag, et autres
Publié: (2025)

LumiMAS: A Comprehensive Framework for Real-Time Monitoring and Enhanced Observability in Multi-Agent Systems
par: Solomon, Ron, et autres
Publié: (2025)