79 matches found
aimp
AIMP — AI Mesh Protocol An experimental, serverless networking protocol for resilient state synchronization between autonomous agents in fragmented, low-bandwidth networks. Built on Merkle-CRDTs and cryptographic identity — no central authority, no global DNS, always writeable. Papers | Version|...
hexstrike-ai
HexStrike AI MCP Agents v6.0 AI-Powered MCP Cybersecurity Automation Platform Advanced AI-powered penetration testing MCP framework with 150+ security tools and 12+ autonomous AI agents 📋 What's New • 🏗️ Architecture • 🚀 Installation • 🛠️ Features • 🤖 AI Agents • 📡 API Reference Follow Our Social...
strix
Strix The open-source AI pentesting tool. Autonomous AI hackers that find and fix your app’s vulnerabilities. !TIP New! Strix integrates seamlessly with GitHub Actions and CI/CD pipelines. Automatically scan for vulnerabilities on every pull request and block insecure cod...
caido
Website • Dashboard • Docs • Roadmap • Branding • Discord 👋 Welcome Welcome to Caido! Caido aims to help security professionals and enthusiasts audit web applications with efficiency and ease. Here you can get involved with the development of our software. You can learn about upcoming Caido...
ClawGuard
ClawGuard 🛡️ 中文版 Our Project:https://github.com/SafeAgent-Beihang/clawguard ClawGuard is a security toolkit designed to mitigate risks associated with autonomous agents, such as OpenClaw and other LLM-driven entities. As agents gain more autonomy to execute code, access APIs, and manage files,...
reproof
Reproof Reproduction + proof. PoC or it didn't happen. R...
acp-framework-en
ACP — Agent Control Protocol Admission control for agent actions. Before any agent mutates system state, ACP answers four questions: Who is this agent? What are they authorized to do? Is this action policy-compliant? Can the outcome be traced to an accountable institution? Cryptographic identity ...
A Competing-Hazards Systematization of Loss of Control in Autonomous Agents
Leading AI developers have reported agents acting beyond their approved limits, which a United Nations panel described as an early warning of loss of human control. Yet incident reports and agent-safety evaluations describe these events differently, making it difficult to compare failures, trace...
From guidance to action: Security fundamentals that materially reduce risk
AI has already made fundamental changes to the operating environment for cybersecurity. Cyberattackers are testing more paths, adapting their techniques, and moving across digital environments with greater speed and persistence. The weaknesses they exploit remain familiar: excessive permissions,...
Dark-Moon v1.4.0
DarkMoon Open-source autonomous AI penetration testing — finds, exploits and qualifies every vulnerability on your own infrastructure ⭐ Star DarkMoon · 🚀 Quick Start · 🧩 Integrations · 📊 Benchmark · 🔒 Darkmoon Pro · ▶️ Install & Run OSS · ▶️ Demo Pro DarkMoon is autonomous AI penetration testing...
LLM-Based Agents for Software and Systems Security: Approaches, Applications, and Assessment
Software and systems security workflows are typically procedural: analysts inspect heterogeneous artifacts, form hypotheses, invoke tools, interpret outputs, and revise plans. Large language model LLM-based agents, which can plan, use tools, retain state, and revise actions across multi-step...
apex v2.4.0-canary.d5c18874
Pensar Apex AI-powered penetration testing using autonomous agents — directly in your terminal. Run blackbox and whitebox pentests that explore, reason, and surface real vulnerabilities. Want to run from the cloud or integrate it with your CI/CD? See Pensar Console. Use Cases Developers Run...
The Outsized Shadow: Why 5% of AI Users Are Your Biggest Security Risk
Big security risks come in small packages. While enterprise security teams focus on policing the proliferation of employees using ChatGPT and Claude for quick drafting tasks, a more urgent threat is posed by a handful of AI super-adopters who are quietly hardcoding unvetted tools into critical...
AI Grinding for Fun and Cryptanalysis
We present an autonomous cryptanalysis workflow in which agents generate, test, and refine hypotheses before human review. The autonomous stage returns reproducible candidates with exact witnesses, controls, code, and run records. A researcher then decides whether the evidence establishes a break...
apex v2.3.0-canary.52dcca8a
Pensar Apex AI-powered penetration testing using autonomous agents — directly in your terminal. Run blackbox and whitebox pentests that explore, reason, and surface real vulnerabilities. Want to run from the cloud or integrate it with your CI/CD? See Pensar Console. Use Cases Developers Run...
strix v1.5.1
Strix The open-source AI pentesting tool. Autonomous AI hackers that find and fix your app’s vulnerabilities. !TIP New! Strix integrates seamlessly with GitHub Actions and CI/CD pipelines. Automatically scan for vulnerabilities on every pull request and block insecure code before it reaches...
langgraph-agentic-research-api-poc
LANGGRAPH-AGENTIC-RESEARCH-API-POC - High-Impact Autonomous Ag...
Vulnera
Strix The open-source AI pentesting tool. Autonomous AI h...
Toward Cryptographically Verifiable Authorization for Autonomous AI Agents: A Security Hypothesis, Preliminary Formal Model, and Proof-Of-Concept Implementation
Autonomous AI agents increasingly execute actions, invoke tools, and operate on protected resources with limited human oversight. Existing authentication and authorization mechanisms establish identity and delegate authority, but do not inherently provide cryptographic evidence that a concrete...
