stride-gpt

STRIDE GPT is an AI-powered threat modelling tool that leverages Large Language Models LLMs to generate threat models and attack trees for a given application based on the STRIDE methodology. Users provide application details, such as the application type, authentication methods, and whether the...

galah

TL;DR: Galah /ɡəˈlɑː/ - pronounced ‘guh-laa’ is an LLM-powered web honeypot designed to mimic various applications and dynamically respond to arbitrary HTTP requests. Galah supports major LLM providers, including OpenAI, GoogleAI, GCP's Vertex AI, Anthropic, Cohere, and Ollama. Unlike traditional...

beelzebub

Beelzebub Framework runtime di deception Beelzebub è un runtime di deception open-source che distribuisce servizi esca adattivi basati su LLM sui protocolli SSH, HTTP, TCP, TELNET e MCP. Va oltre i semplici honeypot passivi ingaggiando attivamente gli attaccanti in interazioni realistiche,...

Efficient Auditing of Adversarial AI Agent Behavior from Agent Traces

AI agents powered by large language models LLMs can perform complex tasks but may harm the systems they operate in, either intentionally or unintentionally. Existing agent monitoring approaches rely on rule-based guardrails or LLM-based trace auditing. However, rule-based guardrails can be bypass...

VirusCascade: Hijacking Collaborative Reflection in LLM-Powered Recommender Agents

Advancing beyond traditional static scoring models, LLM-powered agentic recommender systems LLM-ARS instantiate users and items as autonomous agents, whose semantic states are dynamically refined through a recurrent process known as collaborative reflection. While this mechanism improves...

beelzebub v3.9.1

Beelzebub Deception Runtime Framework Beelzebub is an open-source deception runtime that deploys adaptive, LLM-powered decoy services across SSH, HTTP, TCP, TELNET, and MCP protocols. It goes beyond passive honeypots by actively engaging attackers in realistic interactions, collecting high-fideli...

attackgen v0.15.0

AttackGen AttackGen is a cybersecurity incident response testing tool that leverages the power of large language models and the comprehensive MITRE ATT&CK and ATLAS frameworks. The tool generates tailored incident response scenarios based on user-selected threat actor groups, AI attack case...

beelzebub v3.9.0

Beelzebub Deception Runtime Framework Beelzebub is an open-source deception runtime that deploys adaptive, LLM-powered decoy services across SSH, HTTP, TCP, TELNET, and MCP protocols. It goes beyond passive honeypots by actively engaging attackers in realistic interactions, collecting high-fideli...

Galah - An LLM-powered Web Honeypot Using The OpenAI API

TL;DR: Galah /ɡəˈlɑː/ - pronounced 'guh-laa' is an LLM Large Language Model powered web honeypot, currently compatible with the OpenAI API, that is able to mimic various applications and dynamically respond to arbitrary HTTP requests. Description Named after the clever Australian parrot known for...