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Inference scaling for LLM safety assurance

Inference scaling for LLM safety assurance

ML-driven threat detection and continuous monitoring platform built for federal zero trust architectures.

Streamlit-based insider threat detection prototype using XGBoost and Isolation Forest to analyze employee activity data, generate risk summaries, and…

ThreatSentry AI is an intelligent threat hunting dashboard that leverages machine learning to proactively identify and prioritize risks in your…

Active Directory LDAP Security Auditor with AI-Powered Analysis - By Ayi NEDJIMI https://ayinedjimi-consultants.fr

Privacy testing library for deep learning systems, enabling assessment of susceptibility to membership inference, model extraction, and model…

Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞

The agent that grows with you

Real-time global intelligence dashboard. AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational…

YC (S26) | Open Computer History | Record your screen continuously locally and provide context to your agents (Claude, Codex, Openclaw, Hermes,…

Fast and accurate AI powered file content types detection

Automatic extraction of relevant features from time series:

MCP Server for Ghidra

An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.

List of tools & datasets for anomaly detection on time-series data.

A machine learning toolkit for log parsing [ICSE'19, DSN'16]

LLM powered fuzzing via OSS-Fuzz.

A package for capturing and analyzing network flow data and intraflow data, for network research, forensics, and security monitoring.