Layer for static code analysis and security hardening
-
Updated
Feb 27, 2026 - BitBake
Layer for static code analysis and security hardening
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.
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.
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…
A multi-layered prompt injection detection system built with Laravel.
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.
🔍 Monitor AI activities and enhance security with ClawGuard, the real-time dashboard for OpenClaw, featuring analytics and an emergency kill switch.
Educational PoC demonstrating network isolation for Node.js apps using Docker internal networks and nginx as an egress proxy gateway.
Production-ready security playbook for AI agent deployments. Addresses backup file persistence, authentication bypass, and prompt injection vulnerabilities. Integrates openclaw-detect, openclaw-telemetry, openclaw-shield, and clawguard.
Breach probability simulator for CISOs. Quantifies defense-in-depth effectiveness using Poisson modeling. SOC aesthetic, risk quantification dashboard.
Windows-side security for AI agents running in WSL2. Firewall rules, egress control, credential protection, and WSL2 hardening via PowerShell.
AI Agent Security — Attack payloads, defense references, and research. 52 tests, ~10K lines. A learning-oriented shooting range, not a product.
Defense-in-depth AWS cloud security architecture with VPC segmentation, IAM enforcement, GuardDuty threat validation, and AWS Config compliance monitoring.
Secure-execution domain repository providing modular runtime-security components for sandboxing, capability enforcement, cryptographic isolation, audit logging, and policy-driven execution control — designed for building hardened application and infrastructure runtimes.
A security runtime that sits inside AI agents to block unauthorized actions, enforce accountability, and prevent misuse in real time
Multi Edit Wiki
8-Layer Security Blueprint for Autonomous AI Agents. Defense-in-depth for OpenClaw, LangChain, CrewAI, AutoGPT, and any AI agent on Linux.
Security-hardened fork of OpenClaw — defense-in-depth for AI agents (secrets management, sandbox enforcement, audit logging, SIEM integration, command policy, egress filtering)
identification, exploitation, and remediation of OWASP API Top 10 vulnerabilities
Add a description, image, and links to the defense-in-depth topic page so that developers can more easily learn about it.
To associate your repository with the defense-in-depth topic, visit your repo's landing page and select "manage topics."