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This project is a comprehensive security platform providing an LLM security orchestration framework, an AI agent firewall, and tools for vulnerability remediation, compliance automation, and endpoint protection. It functions as a centralized system to protect AI models from adversarial exploits while managing the identification and patching of software flaws.
The main features of 0x4m4/hexstrike-ai are: Multi-Agent Orchestrators, AI-Driven Orchestration, Automated Pentesting, Offensive Security Workflows, AI Agent Firewalls, AI Agent Security, Automated Security Patching, Centralized Security Agents.
Projects with overlapping indexed features include: owasp/cheatsheetseries — The OWASP Cheat Sheet Series is a comprehensive, community-driven repository of concise security best practices and… projectdiscovery/subfinder — Subfinder is a security reconnaissance framework designed for subdomain enumeration and attack surface management. It… aws/aws-cdk — The AWS Cloud Development Kit is an infrastructure-as-code framework that enables developers to define and provision… microsoft/security-101 — Security-101 is a vendor-agnostic, foundational cybersecurity learning curriculum organized into modular,… qwibitai/nanoclaw — Nanoclaw is an LLM agent orchestrator and multi-platform chat gateway designed to deploy and manage isolated AI… usestrix/strix — Strix is an automated security research and vulnerability scanning platform that leverages language models to…
The OWASP Cheat Sheet Series is a comprehensive, community-driven repository of concise security best practices and defensive coding patterns. It serves as a centralized knowledge base for developers and security professionals, providing actionable guidance to secure applications across the entire software development lifecycle. The project covers a vast array of security domains, ranging from fundamental web application hardening and authentication protocols to specialized controls for modern infrastructure and artificial intelligence systems. What distinguishes this project is its decentral
Subfinder is a security reconnaissance framework designed for subdomain enumeration and attack surface management. It functions as a discovery engine that identifies and maps internet-exposed infrastructure, cloud-hosted assets, and network ranges to maintain a comprehensive inventory of an organization's digital footprint. The project distinguishes itself through a modular, template-driven scanning engine that executes security checks against discovered assets. It leverages cloud-native asset discovery to query provider APIs and infrastructure metadata, while supporting distributed agent orc
The AWS Cloud Development Kit is an infrastructure-as-code framework that enables developers to define and provision cloud resources using familiar programming languages. By utilizing construct-based synthesis, it translates high-level, object-oriented code into declarative templates, allowing for the automated management of complex cloud environments through a centralized, code-driven control plane. The framework distinguishes itself through its ability to model infrastructure as a dependency-aware resource graph, ensuring that components are provisioned and updated in the correct order. It
Security-101 is a vendor-agnostic, foundational cybersecurity learning curriculum organized into modular, framework-aligned modules. It is designed to build core knowledge across multiple security domains without tying content to specific products or platforms, making it suitable for both beginners and professionals seeking a structured introduction to the field. The curriculum is built around established security frameworks, including the MITRE ATT&CK framework for standardized threat analysis and the NIST Cybersecurity Framework for incident response workflows. It covers a broad range of do