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AI-Infra-Guard

v4.6.0 open-source

A full-stack AI Red Teaming platform securing AI ecosystems via Agent Scan, Skills Scan, MCP scan, AI Infra scan and LLM jailbreak evaluation.

Summary

AI-Infra-Guard is an open-source AI red teaming tool, run from the command line, that scans AI infrastructure for CVE vulnerabilities, MCP server risks, agent skill security issues, and LLM jailbreak robustness. It targets AI security teams and red teamers rather than general application developers, covering fingerprinting of components like Qdrant, Chroma, and Weaviate, detection rules for MCP threats such as tool poisoning and command injection, and jailbreak methods including Many-Shot, PAIR, GOAT, and ActorAttack. Its Agent-Scan and MCP-Scan modules run standalone or integrated into the wider platform, and Skill-Scan audits agent skills with SARIF and Markdown reporting. Backed by 41 contributors and over 1,300 commits in the past year, with a release 22 days ago, it is under active development.

A full-stack AI Red Teaming platform securing AI ecosystems via Agent Scan, Skills Scan, MCP scan, AI Infra scan and LLM jailbreak evaluation.

What AI-Infra-Guard answers

Can I run Agent-Scan or MCP-Scan without deploying the full platform?

both modules work as standalone CLIs and integrate into the wider platform if needed

Does it need a model API key configured to run a scan?

the model token can be omitted, falling back to the system default model

What format do the results come in for pulling into other tooling?

Skill-Scan produces SARIF 2.1.0 and Markdown reports; other modules report findings directly

Can I identify vector databases without actively probing them?

GET-only fingerprints for Qdrant, Chroma, and Weaviate allow passive identification

Will my existing automation break if I upgrade?

workflow-attack has been merged into mutation-attack, so configs referencing it as a separate mode need updating

Does it only check for known CVEs, or also test how models behave under attack?

it combines CVE and MCP rule scanning with jailbreak testing methods like Many-Shot, PAIR, GOAT, and ActorAttack

all 8 features, with the evidence for each →

Features

8 capabilities across 4 areas · 1 backed by code, an API document or a real run

Built from everything we hold on AI-Infra-Guard — every release we have summarised, its product documentation and how that documentation has changed, its README, its command-line surface and API, and runs we performed ourselves. Dates are when we first saw a capability, not when the vendor introduced it.

Capability area
AI Infrastructure & MCP Security Scanning 2 capabilities AI-Infra-Guard scans the infrastructure layer of AI deployments, covering MCP servers and AI components such as llama.cpp for misconfigurations, vulnerabilities, and known CVEs. This is the primary use case the cyber tool is built around.
MCP security scanning shipped Scans MCP infrastructure for common security weaknesses including tool poisoning, credential leakage, and hardcoded secrets. 4 releases · first seen Jun 2026

Shared capability: Secret scanning

release

  • Adds 4 new MCP-Scan security detection rules covering hardcoded secrets and insecure deserialization. v4.5.1 · Jul 2026 · source · release history
  • Modularizes MCP-Scan with dual-mode support (CLI + AIG Web) and adds a standalone mcp-scan-lite module. v4.5.0 · Jul 2026 · source · release history
  • Adds 2 new MCP security detection rules plus ATR-derived MCP detection rules covering additional attack surfaces. v4.5.0 · Jul 2026 · source · release history
  • Adds 3 new MCP threat detection rules covering tool poisoning, credential exfiltration, and command injection. v4.1.15 · Jun 2026 · source · release history
AI infrastructure vulnerability scanning shipped Detects known CVEs and vulnerabilities in AI infrastructure components using curated fingerprint-based rule packs. 2 releases · first seen Jun 2026

Shared capability: Vulnerability scanning

release

  • Adds new AI component fingerprints and AIG vulnerability rules from June–July 2026 rule updates. v4.5.0 · Jul 2026 · source · release history
  • Adds 6 new llama.cpp CVE detection rules to the llama-cpp vulnerability pack. v4.1.15 · Jun 2026 · source · release history
AI Agent & Skill Security Auditing 2 capabilities AI-Infra-Guard audits AI agents and their individual skills for security weaknesses, aligning findings to recognised frameworks such as OWASP. Results are produced in standard formats consumable by development and security workflows.
Agent security scanning verified Audits AI agents for security issues using a detection skill set aligned to OWASP and other frameworks. 3 releases · 1 other source · first seen Jul 2026

release

  • Adds 5 new OWASP-aligned Agent-Scan detection skills: agentic-supply-chain, cascading-failure, human-agent-trust, inter-agent-comm, and unexpected-code-execution. v4.5.1 · Jul 2026 · source · release history
  • Adds web-exfiltration-detection skill to Agent-Scan. v4.5.1 · Jul 2026 · source · release history
  • Modularizes Agent-Scan as a standalone CLI with AIG integration support, adding 4 new AI agent security detection skills. v4.5.0 · Jul 2026 · source · release history

command line

  • --skills — Comma-separated detection skill names to run (e.g. 'web-exfiltration-detection'). If not specified, all default detection skills will be used. v4.5.0 · Jul 2026 · command-line history
Agent skill security auditing (Skill-Scan) shipped Audits individual AI agent skills for security weaknesses and outputs findings as SARIF 2.1.0 and Markdown reports. 3 releases · first seen Jul 2026

release

  • Adds SARIF 2.1.0 output format for Skill-Scan results alongside single-stage optimization. v4.5.0 · Jul 2026 · source · release history
  • Adds Agent Skill security auditing (Skill-Scan) repackaged as the standalone PyPI package aig-skill-scan. v4.5.0 · Jul 2026 · source · release history
  • Adds Stage 2 Code Audit Markdown report output for Skill-Scan (replacing XML). v4.5.0 · Jul 2026 · source · release history
Adversarial Prompt & Model Attack Testing 2 capabilities AI-Infra-Guard tests AI models against adversarial and jailbreak attack techniques, including multi-turn methods, to assess their resilience to prompt-based attacks. It also provides evaluation datasets for assessing how agents handle tool misuse scenarios.
Jailbreak and adversarial prompt attack testing shipped Tests AI models against a range of adversarial prompt and multi-turn jailbreak attack methods such as PAIR and ActorAttack. 1 release · first seen Jul 2026

release

  • Adds Many-Shot, PAIR, GOAT, and ActorAttack multi-turn jailbreak attack methods to PromptSecurity. v4.5.1 · Jul 2026 · source · release history
Agentic tool misuse evaluation shipped Provides an evaluation dataset for assessing how AI agents respond to agentic tool misuse scenarios. 1 release · first seen Jul 2026

release

  • Adds agentic-tool-misuse evaluation dataset for assessing agentic tool misuse scenarios. v4.5.0 · Jul 2026 · source · release history
Deployment & Integration 2 capabilities AI-Infra-Guard offers flexible deployment options including a self-hosted open-source frontend and a scan API that supports default model configuration. These capabilities support teams integrating the cyber tool into their own environments and pipelines.
Open-source frontend shipped Provides an open-source frontend that can be self-hosted or used for community deployments with environment-based configuration. 1 release · first seen Jul 2026

release

  • Open-sources the frontend code with open-source environment configuration. v4.5.0 · Jul 2026 · source · release history
Scan API model configuration shipped Allows scan API callers to omit a model token and fall back to the configured system default, simplifying integration. 1 release · first seen Jun 2026

release

  • Supports omitting the model token in mcp_scan and ai_infra_scan API calls, falling back to the system default model. v4.1.15 · Jun 2026 · source · release history
Capability
Evidence

Lines in monospace are the tool's own words — help text parsed from its source, or an endpoint from its API document. Everything else is our summary of a dated release or documentation change, linked back to the source it came from.

Release history

  1. v4.6.0 Aug 26, 2026 · issue 009

    AI-Infra-Guard v4.6.0 adds an API security audit module, LLM API poisoning detection, and a refactored agent red-team mutation engine.

    └──▷ GET THIS VERSION
    $ git clone --branch v4.6.0 https://github.com/Tencent/AI-Infra-Guard.git
    # already have the repo? check out this version:
    $ git checkout v4.6.0
    • Adds aig-agent-redteam v5.0.0 mutation engine with mutation-attack (merging the former workflow-attack into it) for agent red-teaming.
    • New API security audit module (API Checker) with web proxy integration, unified CLI command, and detection algorithms.
    • New detection for LLM API poisoning attacks.
    • Adds strict YAML validation enforcing required id and severity fields in vulnerability rules.
    • New DeepSeek Harness prompt injection assessment research.
    └──▷ BREAKING ON UPGRADE
    • !In aig-agent-redteam, workflow-attack is merged into mutation-attack; any invocation or automation referencing workflow-attack must be updated to use mutation-attack.
  2. v4.6.0 Aug 26, 2026 · issue 002

    AI-Infra-Guard v4.6.0 adds an API security audit module, LLM API poisoning detection, and a refactored agent red-team mutation engine.

    └──▷ GET THIS VERSION
    $ git clone --branch v4.6.0 https://github.com/Tencent/AI-Infra-Guard.git
    # already have the repo? check out this version:
    $ git checkout v4.6.0
    • Adds aig-agent-redteam v5.0.0 mutation engine with mutation-attack (merging the former workflow-attack into it) for agent red-teaming.
    • New API security audit module (API Checker) with web proxy integration, unified CLI command, and detection algorithms.
    • New detection for LLM API poisoning attacks.
    • Adds strict YAML validation enforcing required id and severity fields in vulnerability rules.
    • New DeepSeek Harness prompt injection assessment research.
    └──▷ BREAKING ON UPGRADE
    • !In aig-agent-redteam, workflow-attack is merged into mutation-attack; any invocation or automation referencing workflow-attack must be updated to use mutation-attack.
  3. v4.5.2 Aug 17, 2026 · issue 005

    AI-Infra-Guard v4.5.2 adds SkillJack research, GET-only fingerprints for Qdrant/Chroma/Weaviate, and expands the vuln library to 2000+ CVE rules.

    └──▷ GET THIS VERSION
    $ git clone --branch v4.5.2 https://github.com/Tencent/AI-Infra-Guard.git
    # already have the repo? check out this version:
    $ git checkout v4.5.2
    • Adds the SkillJack research project, a new AI red-teaming research capability within the platform.
  4. v4.5.2 Aug 17, 2026 · issue 002

    AI-Infra-Guard v4.5.2 adds SkillJack research, GET-only fingerprints for Qdrant/Chroma/Weaviate, and expands the vuln library to 2000+ CVE rules.

    └──▷ GET THIS VERSION
    $ git clone --branch v4.5.2 https://github.com/Tencent/AI-Infra-Guard.git
    # already have the repo? check out this version:
    $ git checkout v4.5.2
    • Adds the SkillJack research project, a new AI red-teaming research capability within the platform.
  5. v4.5.1 Jul 30, 2026 · issue 005

    AI-Infra-Guard v4.5.1 adds 4 multi-turn jailbreak attacks, 6 new Agent-Scan OWASP skills, and 4 new MCP security detection rules.

    └──▷ GET THIS VERSION
    $ git clone --branch v4.5.1 https://github.com/Tencent/AI-Infra-Guard.git
    # already have the repo? check out this version:
    $ git checkout v4.5.1
    • Adds Many-Shot, PAIR, GOAT, and ActorAttack multi-turn jailbreak attack methods to PromptSecurity evaluation.
    • Adds 5 new OWASP detection skills to Agent-Scan: agentic-supply-chain, cascading-failure, human-agent-trust, inter-agent-comm, and unexpected-code-execution.
    • Adds web-exfiltration-detection skill to Agent-Scan, bringing the total to 10 detection skills.
    • Adds 4 new MCP security detection rules to MCP-Scan covering hardcoded secrets and insecure deserialization.
    • Updates AIG detection rules library with the 2026-07-24 rule set.
  6. v4.5.1 Jul 30, 2026 · issue 002

    AI-Infra-Guard v4.5.1 adds 4 multi-turn jailbreak attacks, 6 new Agent-Scan OWASP skills, and 4 new MCP security detection rules.

    └──▷ GET THIS VERSION
    $ git clone --branch v4.5.1 https://github.com/Tencent/AI-Infra-Guard.git
    # already have the repo? check out this version:
    $ git checkout v4.5.1
    • Adds Many-Shot, PAIR, GOAT, and ActorAttack multi-turn jailbreak attack methods to PromptSecurity evaluation.
    • Adds 5 new OWASP detection skills to Agent-Scan: agentic-supply-chain, cascading-failure, human-agent-trust, inter-agent-comm, and unexpected-code-execution.
    • Adds web-exfiltration-detection skill to Agent-Scan, bringing the total to 10 detection skills.
    • Adds 4 new MCP security detection rules to MCP-Scan covering hardcoded secrets and insecure deserialization.
    • Updates AIG detection rules library with the 2026-07-24 rule set.
  7. v4.5.0 Jul 27, 2026 · issue 005

    AI-Infra-Guard v4.5.0 open-sources its frontend, ships standalone CLI modules for Agent/MCP/Skill scanning, and adds SARIF 2.1.0 output for skill audits.

    └──▷ GET THIS VERSION
    $ git clone --branch v4.5.0 https://github.com/Tencent/AI-Infra-Guard.git
    # already have the repo? check out this version:
    $ git checkout v4.5.0
    • Repackages Skill-Scan as a standalone PyPI package aig-skill-scan for easy CI/CD integration.
    • Modularizes Agent-Scan as a standalone CLI with AIG integration support.
    • Modularizes MCP-Scan with dual-mode support (CLI + AIG Web) and adds a standalone mcp-scan-lite module.
    • Adds 4 new detection skills for AI agent security to Agent-Scan.
    • Adds 2 new MCP security detection rules and ATR-derived MCP detection rules covering additional attack surfaces.
    +4 moreshow less
    • Adds Skill-Scan Agent Skill security auditing support with 9 risk categories, achieving a SkillTrustBench top score of 0.9848.
    • Open-sources the full frontend code with open-source environment configuration.
    • Adds an agentic-tool-misuse evaluation dataset to the Eval module.
    • Expands the vulnerability library to 130 AI components and 1888 rules with new AI component fingerprints.
    └──▷ BREAKING ON UPGRADE
    • !Skill-Scan Stage 2 Code Audit now outputs a Markdown report instead of XML.
  8. v4.5.0 Jul 27, 2026 · issue 002

    AI-Infra-Guard v4.5.0 open-sources its frontend, ships standalone CLI modules for Agent/MCP/Skill scanning, and adds SARIF 2.1.0 output for skill audits.

    └──▷ GET THIS VERSION
    $ git clone --branch v4.5.0 https://github.com/Tencent/AI-Infra-Guard.git
    # already have the repo? check out this version:
    $ git checkout v4.5.0
    • Repackages Skill-Scan as a standalone PyPI package aig-skill-scan for easy CI/CD integration.
    • Modularizes Agent-Scan as a standalone CLI with AIG integration support.
    • Modularizes MCP-Scan with dual-mode support (CLI + AIG Web) and adds a standalone mcp-scan-lite module.
    • Adds 4 new detection skills for AI agent security to Agent-Scan.
    • Adds 2 new MCP security detection rules and ATR-derived MCP detection rules covering additional attack surfaces.
    +4 moreshow less
    • Adds Skill-Scan Agent Skill security auditing support with 9 risk categories, achieving a SkillTrustBench top score of 0.9848.
    • Open-sources the full frontend code with open-source environment configuration.
    • Adds an agentic-tool-misuse evaluation dataset to the Eval module.
    • Expands the vulnerability library to 130 AI components and 1888 rules with new AI component fingerprints.
    └──▷ BREAKING ON UPGRADE
    • !Skill-Scan Stage 2 Code Audit now outputs a Markdown report instead of XML.
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