Network traffic data pipeline for real-time predictions and building datasets for deep neural networks
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Updated
Sep 4, 2020 - Python
Network traffic data pipeline for real-time predictions and building datasets for deep neural networks
Make Music Unlearnable for Generative AI.
"Universal AI security framework - Protect LLM applications from prompt injection, jailbreaks, and adversarial attacks. Works with OpenAI, Anthropic, LangChain, and any LLM."
Complete alignment and safety architecture for autonomous AI agents. Membrane security, continuous trust verification, epistemic hygiene, emergence protocols, and defence tools. 30 years of cybernetic research — deployable today.
DeepDefend is an open-source Python library for adversarial attacks and defenses in deep learning models, enhancing the security and robustness of AI systems.
🛡️ Universal AI defense framework protecting agents from prompt injection attacks | 67% attack reduction | Based on academic research
An Elite, AI-Driven Next-Generation Web Application Firewall & Security Operations Center (SOC). Built for enterprise traffic interception.
Sphinx static website for a MyST-markdown formatted digital garden, complete with custom anti-ai modules and machien learning note classifications!
🛡️ Secure your LLM applications with PromptShields, a framework designed for real-time protection against prompt injection and data leaks.
A high-speed, multi-layered defense system that mines lethal prompt injection datasets to detect, block, and analyze adversarial attacks in real-time.
🌳 Build secure, aligned autonomous AI agents with boundary control, trust verification, and self-governance tools for safety and reliability.
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