
garak
Modular LLM vulnerability scanner that probes for hallucination, data leakage, prompt injection, jailbreaks, and toxicity using static, dynamic, and…

Modular LLM vulnerability scanner that probes for hallucination, data leakage, prompt injection, jailbreaks, and toxicity using static, dynamic, and…

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

Website defacement attack detection with deep learning

The community's most comprehensive, continuously-updated index of research on Large Language Models for software vulnerability detection — papers…

MCP-enabled multi-agent framework for declarative YAML-driven agentic workflows, used for AI-assisted code auditing, vulnerability triage, and…

A Semantics-Enhanced Learnable Vulnerability Detector

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…

Python library for local LLM-powered security analysis with Ghidra binary analysis, C/C++ vulnerability scanning, and MCP tool integration for…

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

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

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

Replication package studying how LLM vulnerability auditors defer to static-analysis evidence, with a tree-sitter C/C++ front end, controlled…

Automating Host Exploitation with AI

AI Smart Contract Security Analysis and PoC Generation Framework

Suppress vulnerabilities applying Kubernetes context to scans

Restructured and Collaborated SIEM and CVSS Infrastructure. Presented at Blackhat Asia Arsenal 2020.