Image de couverture de livre

OrgForge-IT: A Verifiable Synthetic Benchmark for LLM-Based Insider Threat Detection

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteur principal:	Flynt, Jeffrey
Format:	Preprint
Publié:	2026
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

OrgForge: A Multi-Agent Simulation Framework for Verifiable Synthetic Corporate Corpora
par: Flynt, Jeffrey
Publié: (2026)

MambaITD: An Efficient Cross-Modal Mamba Network for Insider Threat Detection
par: Kong, Kaichuan, et autres
Publié: (2025)

RedChronos: A Large Language Model-Based Log Analysis System for Insider Threat Detection in Enterprises
par: Li, Chenyu, et autres
Publié: (2025)

LAN: Learning Adaptive Neighbors for Real-Time Insider Threat Detection
par: Cai, Xiangrui, et autres
Publié: (2024)

RMSL: Weakly-Supervised Insider Threat Detection with Robust Multi-sphere Learning
par: Wang, Yang, et autres
Publié: (2025)

Fine Grained Insider Risk Detection
par: Huber, Birkett, et autres
Publié: (2024)

Agentic Misalignment: How LLMs Could Be Insider Threats
par: Lynch, Aengus, et autres
Publié: (2025)

Verifying LLM Inference to Detect Model Weight Exfiltration
par: Rinberg, Roy, et autres
Publié: (2025)

Insight-LLM: LLM-enhanced Multi-view Fusion in Insider Threat Detection
par: Song, Chengyu, et autres
Publié: (2025)

A Systematic Survey of Security Threats and Defenses in LLM-Based AI Agents: A Layered Attack Surface Framework
par: Chu, Kexin
Publié: (2026)

LLM-Based Threat Detection and Prevention Framework for IoT Ecosystems
par: Otoum, Yazan, et autres
Publié: (2025)

Optimizing IoT Threat Detection with Kolmogorov-Arnold Networks (KANs)
par: Emelianova, Natalia, et autres
Publié: (2025)

TabSec: A Collaborative Framework for Novel Insider Threat Detection
par: Huang, Zilin, et autres
Publié: (2024)

Network Threat Detection: Addressing Class Imbalanced Data with Deep Forest
par: Chen, Jiaqi, et autres
Publié: (2025)

GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection
par: Rabooki, Saba Fathi, et autres
Publié: (2025)

Hybrid LLM-Enhanced Intrusion Detection for Zero-Day Threats in IoT Networks
par: Al-Hammouri, Mohammad F., et autres
Publié: (2025)

MemHunter: Automated and Verifiable Memorization Detection at Dataset-scale in LLMs
par: Wu, Zhenpeng, et autres
Publié: (2024)

SoK: Privacy-aware LLM in Healthcare: Threat Model, Privacy Techniques, Challenges and Recommendations
par: Tahera, Mohoshin Ara, et autres
Publié: (2026)

Audit-LLM: Multi-Agent Collaboration for Log-based Insider Threat Detection
par: Song, Chengyu, et autres
Publié: (2024)

Improving Network Threat Detection by Knowledge Graph, Large Language Model, and Imbalanced Learning
par: Zhang, Lili, et autres
Publié: (2025)

HIDBench: Benchmarking Large Language Models for Host-Based Intrusion Detection
par: Sun, Danyu, et autres
Publié: (2026)

Filter-then-Verify: A Multiphase GNN and ModernBERT Framework for Social Engineering Detection in Email Networks
par: Khadka, Barsat, et autres
Publié: (2026)

Insider Threats Mitigation: Role of Penetration Testing
par: Chauhan, Krutarth
Publié: (2024)

Verifiable Unlearning on Edge
par: Maheri, Mohammad M, et autres
Publié: (2025)

Facade: High-Precision Insider Threat Detection Using Deep Contextual Anomaly Detection
par: Kantchelian, Alex, et autres
Publié: (2024)

CTFusion: A CTF-based Benchmark for LLM Agent Evaluation
par: Lee, Dongjun, et autres
Publié: (2026)

Hashed Watermark as a Filter: Defeating Forging and Overwriting Attacks in Weight-based Neural Network Watermarking
par: Yao, Yuan, et autres
Publié: (2025)

threaTrace: Detecting and Tracing Host-based Threats in Node Level Through Provenance Graph Learning
par: Wang, Su, et autres
Publié: (2021)

Securing Healthcare with Deep Learning: A CNN-Based Model for medical IoT Threat Detection
par: Mohamadi, Alireza, et autres
Publié: (2024)

PVMark: Enabling Public Verifiability for LLM Watermarking Schemes
par: Duan, Haohua, et autres
Publié: (2025)

Survey of Privacy Threats and Countermeasures in Federated Learning
par: Hayashitani, Masahiro, et autres
Publié: (2024)

X Hacking: The Threat of Misguided AutoML
par: Sharma, Rahul, et autres
Publié: (2024)

Robust Synthetic Data-Driven Detection of Living-Off-the-Land Reverse Shells
par: Trizna, Dmitrijs, et autres
Publié: (2024)

Contrastive Learning-Based privacy metrics in Tabular Synthetic Datasets
par: Palacios, Milton Nicolás Plasencia, et autres
Publié: (2025)

Signal Decomposition Reveals Structure in Insider Threat Detection under Sparse Temporal Data
par: Beadles, Hayden, et autres
Publié: (2026)

A Critical Review on the Effectiveness and Privacy Threats of Membership Inference Attacks
par: Jebreel, Najeeb, et autres
Publié: (2026)

Evaluation of LLM Chatbots for OSINT-based Cyber Threat Awareness
par: Shafee, Samaneh, et autres
Publié: (2024)

Real-Time Detection of Insider Threats Using Behavioral Analytics and Deep Evidential Clustering
par: Ali, Anas, et autres
Publié: (2025)

MGTBench: Benchmarking Machine-Generated Text Detection
par: He, Xinlei, et autres
Publié: (2023)

ZKBoost: Zero-Knowledge Verifiable Training for XGBoost
par: Melissaris, Nikolas, et autres
Publié: (2026)