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

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

Next-gen logical WAF engine built in SWI-Prolog. Features an inductive learning brain running at 2M+ LIPS with an integrated recursive decoder to…

Purple Team Exercise Framework

Composable research-contract and YAML-recipe framework for agent-operated security experiments on disposable compute

Black-box input-stage purification defense that neutralizes backdoor attacks on object detectors via corruption, diffusion reconstruction, and DBSCAN…

Evolutionary LLM jailbreak and guardrail framework that grows a reusable strategy pool via genetic mutation, Markov selection, and online adversarial…

Fine-tuning framework that applies first-order optimal safety calibration and periodic recalibration to LLMs, preserving safety-compatible updates…

Defense framework that mitigates malicious fine-tuning of LLMs using selective layer recovery and dynamic routing, with training, harmfulness…

Defense framework that keeps audio-language models frozen and adds a mid-layer risk gate with late-layer safety adapters to block audio jailbreaks at…

Defense framework enforcing routed origin policy to prevent indirect prompt injection in tool-using LLM agents, with deterministic origin checks and…

Defensive framework that maintains a safety-focused shadow memory to detect and block prompt-injection and long-horizon threats against LLM agents…

An Evaluation Agent for Detecting Misinformation and Knowledge Poisoning in Retrieval-Augmented Generation Systems.