clawguard

🦞 ClawGuard v3 Enterprise AI Agent Security Toolkit - SKILL.md Driven Active Defense Core Concept The core defense of ClawGuard v3 is not in the code, but in SKILL.md! Each module's SKILL.md itself is a complete defense guide: Tells the Agent when to trigger Guides the Agent how to detect Provide...

wardgate

Wardgate - AI Agent Security Gateway Wardgate is a security gateway that sits between AI agents and the outside world -- isolating credentials for API calls, isolating SSH keys for remote command execution, and gating command execution in remote environments conclaves. Give your AI agents access ...

sage

Sage Safety for Agents — Agent Detection & Response for AI coding assistants Sage is a lightweight security layer that protects AI agents from executing dangerous actions. It intercepts tool calls — shell commands, URL fetches, file writes — and checks them against multiple threat detection layer...

node9-proxy

🛡️ node9 Access control for AI agents Your AI agents can reach Slack, GitHub, email, and your database. node9 decides what they may do with each one. Credential jail · secrets and PII · destructive git, SQL and shell held for review · MCP tool pinning · network egress allowlist · loop breaker · on...

secure-agent-playbook

Secure Agent Playbook An open-source security playbook for AI agents. Structured, OWASP-grounded procedures that enable agents to perform security engineering tasks — from code review to AI agent security audits. Table of Contents Why Use This? What This Is Quick Start Skills Catalog Agents Examp...

Agent-Security-Regression-Harness

OWASP Agent Security Regression Harness The OWASP Agent Security Regression Harness is an open source, vendor-neutral test harness for running executable security regression scenarios against agentic applications and MCP-integrated systems. The project helps builders and defenders verify that...

tealtiger

TealTiger AI Agent Security & Governance SDK Deterministic governance, guardrails, cost tracking, and policy management for LLM applications. Open source. TypeScript + Python. Works with any provider. Website · Documentation · Examples · Discord · Contributing ⚡ 60-second quickstart Install: npm...

sigma-ai

AgentShield Sigma Rules What is This Repository? This repository contains detection rules that help identify when an AI agent is being attacked or manipulated. Think of it as a library of "threat signatures" -- each rule describes a pattern that, when matched against an agent's log data, signals...

hush

Give your agents boundaries you can read. Get decisions you can verify. What · Quickstart · How it works · SDKs · CLI · Policies · Docs · Spec What is HushSpec? HushSpec is an open specification for the security controls an AI agent operates under. Write a policy in YAML, evaluate it in Rust,...

MakerChecker

🛡️ MakerChecker The open-source security layer for AI agents. Deny-by-default enforcement, human approvals, and a cryptographically signed audit trail — so your agent runs only what it's granted and provably can't approve its own work. Website · Live Demo · mc scan · Docs Your agents keep running...

aegisagent

AegisAgent — AI Agent Runtime Security Gateway AI Agent Runtime Security Gateway — cryptographically binds every tool call to the authentic model completion, zero-trust policy enforcement, and integrated sandbox isolation and human approval. Background: Why AegisAgent In August 2026, the Cloud...

Ajar

Ajar: Measuring Open Privilege in Agent Defenses An agent-security benchmark reports two numbers, attack success and benign utility, and both are read off runs that happened. Neither says what the defense stood ready to allow on the paths no run took. Ajar asks it directly: for each benign task i...

DROS-VEP-lite

🛡️ VEP: Open Agent Security Research Testbed A Composable, System-Level Evaluation Infrastructure for Post-Compromise & Physical AI Research "VEP Vulnerability & Exploitability Protocol is an open, implementation-independent research evaluation environment for studying Agent security controls at...

The Same Zero: Why Identical ASR Can Imply Different Guarantees in LLM-Agent Security

LLM-agent security has produced a dense landscape of defenses - prompt hardening, content filters, permission gates, sandboxes - yet no framework tells a deployer what a defense actually guarantees, or where that guarantee comes from. We apply Verification Autonomy Levels VAL - L0: LLM...

Threat-Preserving Representation Sensitivity in Agent-Security Benchmarks

Security benchmarks for LLM-based agents often report the attack success rate ASR as a measure of model robustness and use these scores to compare different models and defense mechanisms, assuming that they describe the security of the agent. In this paper, we explore whether it also influences t...

On the Effectiveness of Kernel-Level Evidence for Agent Security

LLM agents are deployed into infrastructure that grants them broad host authority, yet existing agent-security benchmarks and defenses operate almost exclusively at the application telemetry layer: the served tool manifest, the user prompt, and the model's messages. Some threats, however, smuggle...

Embedded Assessments for Frontier AI

Third-party evaluations for frontier AI have mostly tested models through external interfaces before deployment. But the risks from frontier AI models depend on how their developers use and govern them internally. Recently, CEOs of frontier AI companies have committed to hosting embedded...

AI Agent Security Readiness: The Federal Standard You Should Get Ahead Of

Here's the uncomfortable part first: in August 2026, researchers found AI agents connected to Hugging Face running loose inside enterprise networks. No owner, no audit trail, nobody who could tell you they existed until something broke. If that sentence made your stomach drop a little, good,...

Shifting from Injection to Interaction: Rethinking Web Security in the Age of LLMs and Beyond

Large language models LLMs are becoming integral to web applications and browser agents, transforming online interactions while introducing new attack vectors and reshaping longstanding web vulnerabilities. Classical threats such as cross-site scripting XSS can be amplified through LLM-mediated...

CVE-2026-40145

A vulnerability exists in the interaction between a Endpoint Privilege Management Windows Deployment support utility and the agent's tamper protection controls. Under certain conditions, the protections applied to the utility process may not be enforced as intended...