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Adversary Emulation Framework

Adversary Emulation Framework

LLM security testing framework for detecting prompt injection, jailbreaks, and adversarial attacks — 190+ probes, 28 providers, single Go binary

Encrypted C2 and post-exploitation framework for red teams, with modular PowerShell/Python/C#/Go agents, many offensive modules, and easy…

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

StealthRL: RL framework for adversarially paraphrasing AI text to stress-test detector robustness.

Automated behavioral evaluation framework for LLMs that generates diverse test scenarios to probe for sycophancy, bias, and other safety-relevant…

Playbook-based adversary simulation framework that compiles JSON-defined attack paths into position-independent shellcode payloads for validating…

Purple Team Exercise Framework

The Python Risk Identification Tool for generative AI (PyRIT) is an open source framework built to empower security professionals and engineers to…


Evaluation framework that tests whether large language models follow invisible Unicode-encoded instructions embedded in normal-looking text, with…

Implementation of paper "DeeCLIP: A Robust and Generalizable Transformer-Based Framework for Detecting AI-Generated Images"

MAAD Attack Framework - An attack tool for simple, fast & effective security testing of M365 & Entra ID (Azure AD).

Metasploit for machine learning.

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