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Security proxy for AI agents. Scans every message for prompt injection, PII, and secrets. Defense-in-depth: Go proxy + iptables firewall + eBPF kernel monitor. YAML policy engine, audit logging, 5 AI agents with RAG knowledge bases.
FAANG (MANGA) Security Engineer Interview Collection. An ongoing & curated collection of awesome software, frameworks and libraries, learning tutorials and videos, technical guidelines and best practices, and cheatsheets in the world of Security Engineering Career.
An open taxonomy and scoring framework for evaluating AI agent sandboxes: 7 defense layers, 7 threat categories, 3 evaluation dimensions, 27 "sandboxes" scored.
This repository contains a collection of PowerShell tools that can be utilized to protect and defend an environment based on the recommendations of multiple cyber security researchers at Microsoft. These tools were created with a small to medium size enterprise environment in mind as smaller organizations do not always have the type of funding a…
Security-first AI agent orchestration system. Built-in agents with predefined capabilities, strict guardrails on what they can and cannot do, and a four-layer defense system that enforces security at every stage of the message lifecycle.
Winning entry for the BitGN Personal Agent Challenge (PAC) 2026 — defense-in-depth personal agent with soft SGR, layered prompt-injection hardening, and Vercel AI SDK native tool calling.
Threat-oriented defensive frameworks reorganizing PCI DSS v4.0.1 requirements by attack type rather than compliance checklist. Educational guide for security professionals implementing strategic layered defense.
FORTRESS is an interactive security control simulation platform designed for security architects, analysts, and students to understand the full spectrum of security controls. Featuring a comprehensive NIST SP 800-53 aligned control matrix, interactive attack simulations, scenario-based training, a 50+ control encyclopedia, defense builder👨🏿💻🔒.
Security audit engine that learns from your feedback. Bayesian calibration turns 6,000 noisy findings into 135 real issues. Model-agnostic, zero-config. Born from 93 real-world vulnerabilities.