
delirium-ai-safety-benchmark
A diagnostic framework for measuring LLM vulnerability to Affective Contextual Erosion (ACE) and related liminal attack vectors. **Delirium** is not…

A diagnostic framework for measuring LLM vulnerability to Affective Contextual Erosion (ACE) and related liminal attack vectors. **Delirium** is not…

Suppress vulnerabilities applying Kubernetes context to scans

Curated systematic literature review of 756+ papers on LLM applications in cybersecurity, covering threat intelligence, vulnerability detection,…

A minimal LLM-powered zero-day vulnerability scanner by AISLE.

A Semantics-Enhanced Learnable Vulnerability Detector

Self-hosted multi-agent environment for Go with LLM-powered pentesting agents (exploiter, reverser, threathunter, webscanner) that automate…

The code of VulTriage: Triple-Path Context Augmentation for LLM-Based Vulnerability Detection

Research repository documenting LLM generalization ceilings in code security vulnerability detection, with cross-evaluation across synthetic and…

The code in "DCVD: Dual-Channel Cross-Modal Fusion for Joint Vulnerability Detection and Localization"

Ensemble framework for software vulnerability detection and repair using multiple large language models, with consensus analysis and evaluation tools…

ThreatSentry AI is an intelligent threat hunting dashboard that leverages machine learning to proactively identify and prioritize risks in your…

VulnAgent-X: A Layered Agentic Framework for Repository-Level Vulnerability Detection

This repository provides an in-depth analysis of the Log4Shell vulnerability (CVE-2021-44228) and implements a machine learning-based approach to…

Automating Host Exploitation with AI

AI Smart Contract Security Analysis and PoC Generation Framework

VEDAS-Driven Autonomous Generation of Suricata Rules for CVEs