
socbench
An Open Harness and Benchmark for AI in Cybersecurity Operations.

An Open Harness and Benchmark for AI in Cybersecurity Operations.

Agentic memory for CTI in Python — STIX knowledge graphs, threat-actor alias resolution, offline-first RAG, MCP server for Claude Code and LangChain…

Python framework for building LLM workflows as state machines with formal verification via Z3 theorem proving, CTL model checking, and conformal…

Plugin for Binary Ninja that integrates local Ollama models to rename functions and variables in decompiled HLIL code, preserving privacy by keeping…

A LSTM based framework for handling multiclass imbalance in DGA botnet detection

Generative AI-based CyberSecurity-focused Prompt Dataset for Benchmarking Large Language Models

A Python library for Secure and Explainable Machine Learning Documentation available @ https://secml.gitlab.io Follow us on Twitter @…

An ML powered Graph-Based Multi-Architecture Approach for ROP Gadget Detection

Programmable packet inspection engine with NIDS, DNS classification, frequency analysis, and auto-regex generation. Supports Python/Ruby/Java/Lua…

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

Framework for auditing machine learning algorithms against adversarial attacks and biases, providing educational tools and an academic paper to…

Framework for implementing Network Intrusion Detection Systems (NIDS) aimed at identifying anomalies in network flows using Federated Learning models.

Research implementation for mitigating adaptive prompt injections via on-policy distillation, with training recipes and evaluators for SEP, PISmith,…

Trajectory-aware evolutionary search framework for red-teaming LLM agents over MCP servers, generating adversarial prompts to map vulnerability…

Official code for the ISSTA 2026 paper: Is "Knowing It’s Malicious" Enough? Evaluating LLMs for Fine-Grained Malware Behavior Auditing

Code for 'Steering the CensorShip: Uncovering Representation Vectors for LLM "Thought" Control'

Curated reading list and taxonomy of attack and defense research for mobile on-device AI systems, covering adversarial, backdoor, model stealing, and…

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