
foolbox
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
adversarial-attackai-securitymachine-learning+1

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX


Pre-install security for AI agents, npm packages, and MCP servers. Zero-dep local static analysis; normal scans never execute package code.


ATHF is a framework for agentic threat hunting - building systems that can remember, learn, and act with increasing autonomy.

A transparent PII redaction proxy for LLM API traffic. Sits between an application and an LLM provider (currently Anthropic), pseudonymizing…

AI runtime inventory: discover shadow AI, trace LLM calls