Version updated for https://github.com/sattyamjjain/agent-audit-kit to version v0.3.10. This action is used across all versions by ? repositories. Action Type This is a Docker action. Go to the GitHub Marketplace to find the latest changes. Action Summary AgentAuditKit is a security scanner designed for AI agent pipelines, providing automated detection of vulnerabilities such as misconfigurations, hardcoded secrets, tool poisoning, and tainted data flows across 13 agent platforms. It offers robust compliance mapping, comprehensive rule coverage for emerging CVEs, and supports offline usage for secure environments. Its key capabilities include advanced taint analysis, supply chain security, OWASP and regulatory compliance, and detailed reporting, addressing critical security and compliance challenges in AI systems.

Version updated for https://github.com/sattyamjjain/agent-audit-kit to version v0.3.9. This action is used across all versions by ? repositories. Action Type This is a Docker action. Go to the GitHub Marketplace to find the latest changes. Action Summary AgentAuditKit is a comprehensive security scanner designed for AI agent pipelines connected to MCP (Multi-Agent Control Protocol) systems. It automates the detection of vulnerabilities such as misconfigurations, hardcoded secrets, tool poisoning, and tainted data flows across 13 AI agent platforms, using 180 security rules and 28 specialized scanner modules. The tool enhances compliance with global security frameworks, provides detailed vulnerability reports, and operates fully offline to ensure secure and private analysis.

Version updated for https://github.com/sattyamjjain/agent-audit-kit to version v0.3.8. This action is used across all versions by ? repositories. Action Type This is a Docker action. Go to the GitHub Marketplace to find the latest changes. Action Summary AgentAuditKit is a security scanning tool designed to identify vulnerabilities, misconfigurations, and security risks in AI agent pipelines connected to Multi-Agent Control Protocols (MCP). It automates the detection of issues such as hardcoded secrets, tainted data flows, and supply chain risks across 13 agent platforms, while providing compliance mapping for major security frameworks like OWASP and ISO 27001. With 175 rules, 28 scanner modules, and a variety of CLI commands, it offers comprehensive auditing, reporting, and remediation capabilities to enhance the security and compliance of AI systems.

Version updated for https://github.com/sattyamjjain/agent-audit-kit to version v0.3.7. This action is used across all versions by ? repositories. Action Type This is a Docker action. Go to the GitHub Marketplace to find the latest changes. Action Summary AgentAuditKit is a comprehensive security scanner for AI agent pipelines, designed to detect vulnerabilities such as misconfigurations, hardcoded secrets, tool poisoning, trust boundary violations, and tainted data flows across 13 agent platforms. It automates security analysis using 169 rules across 11 categories, provides compliance mapping for multiple frameworks, and supports offline operation with zero cloud dependencies. This action helps organizations safeguard their AI systems by identifying risks, generating detailed security reports, and ensuring robust compliance with industry standards and regulations.

Version updated for https://github.com/sattyamjjain/agent-audit-kit to version v0.3.5. This action is used across all versions by ? repositories. Action Type This is a Docker action. Go to the GitHub Marketplace to find the latest changes. Action Summary AgentAuditKit is a security scanner designed to identify vulnerabilities, misconfigurations, and risks in MCP-connected AI agent pipelines across 13 platforms. It automates the detection of issues such as hardcoded secrets, tool poisoning, tainted data flows, and compliance violations, while providing comprehensive OWASP and regulatory framework coverage. The tool offers advanced scanning capabilities, offline operation, supply chain security features, and generates detailed compliance and security reports to ensure robust AI pipeline protection.

Version updated for https://github.com/sattyamjjain/agent-audit-kit to version v0.3.4. This action is used across all versions by ? repositories. Action Type This is a Docker action. Go to the GitHub Marketplace to find the latest changes. Action Summary AgentAuditKit is a security scanner designed for AI agent pipelines that identifies vulnerabilities such as misconfigurations, hardcoded secrets, tool poisoning, and tainted data flows across 13 agent platforms. It automates compliance checks, taint analysis, and supply chain security, providing extensive rule-based scanning and OWASP-aligned coverage for proactive risk mitigation. The action enables offline use, generates detailed compliance reports, and ensures rapid updates for addressing newly disclosed CVEs.

Version updated for https://github.com/sattyamjjain/agent-audit-kit to version v0.3.3. This action is used across all versions by ? repositories. Action Type This is a Docker action. Go to the GitHub Marketplace to find the latest changes. Action Summary AgentAuditKit is a comprehensive security scanner designed for AI agent pipelines connected to Multi-Agent Collaboration Protocols (MCP). It automates the detection of vulnerabilities such as misconfigurations, hardcoded secrets, tool poisoning, trust boundary violations, and tainted data flows across 13 agent platforms, using 151 rules and 28 scanning modules. The tool provides robust compliance mapping, OWASP standard coverage, supply chain integrity features, and offline functionality, streamlining security audits and ensuring rapid response to emerging AI-related vulnerabilities.

Version updated for https://github.com/sattyamjjain/agent-audit-kit to version v0.3.2. This action is used across all versions by ? repositories. Action Type This is a Docker action. Go to the GitHub Marketplace to find the latest changes. Action Summary AgentAuditKit is a security scanner designed for AI agent pipelines, identifying vulnerabilities such as misconfigurations, hardcoded secrets, tool poisoning, and tainted data flows across 13 agent platforms. It automates compliance checks, vulnerability detection, and remediation using 148 security rules, 28 scanner modules, and comprehensive support for industry standards like OWASP, SOC 2, and ISO 27001. With features like offline operation, supply chain integrity tools, and rapid CVE rule updates, it enhances the security and reliability of AI-driven systems.

Version updated for https://github.com/sattyamjjain/agent-audit-kit to version v0.3.0. This action is used across all versions by ? repositories. Action Type This is a Docker action. Go to the GitHub Marketplace to find the latest changes. Action Summary AgentAuditKit is a security scanner designed for MCP-connected AI agent pipelines, addressing vulnerabilities such as misconfigurations, hardcoded secrets, tool poisoning, and tainted data flows across 13 agent platforms. It automates the detection and resolution of security risks with 124 rules, 25 scanner modules, and compliance mapping to standards like OWASP, SOC 2, and ISO 27001, while providing detailed reports and maintaining a 48-hour SLA for new CVE coverage. Fully offline and with no cloud dependencies, it ensures robust security for AI agents in critical environments.

Version updated for https://github.com/sattyamjjain/agent-audit-kit to version v0.2.0. This action is used across all versions by ? repositories. Action Type This is a Docker action. Go to the GitHub Marketplace to find the latest changes. Action Summary AgentAuditKit is a security scanner for AI agent pipelines that identifies vulnerabilities such as misconfigurations, hardcoded secrets, tool poisoning, and trust boundary violations across 13 agent platforms. It automates the detection of security risks using 77 rules across 11 categories, offering compliance mapping for standards like SOC 2 and ISO 27001, and operates fully offline without requiring cloud dependencies. The tool integrates seamlessly with GitHub Actions, CLI, and pre-commit hooks, providing actionable security insights directly in development workflows.