Skip to content
Stork.AIstork.ai
AI Tool

Guardana Review

Guardana is an AI application security tool that scans model artifacts, probes live endpoints, and grades execution traces to identify security risks.

shipped Aug 12, 2026free
Guardana — product screenshot

Why it matters

1Offers 51 built-in checks for static and dynamic assessments.
2Supports custom rule definition using YAML or Python.
3Integrates with CI pipelines, including GitHub Actions.
4Provides offline capabilities and requires no account or telemetry.

About Guardana

Business Model
Open Source
Platforms
Web, CLI
Target Audience
AI development teams and security professionals
GitHubOpen Source

overview

What is Guardana?

Guardana is an AI application security tool developed by Guardana that enables AI development teams and security professionals to identify security risks in AI applications. It scans model artifacts, probes live endpoints, and grades execution traces to provide comprehensive security assessments. The tool includes 51 built-in checks for both static and dynamic analysis, allowing for the definition of custom checks tailored to specific application requirements. Guardana is designed for integration into CI pipelines and offers offline capabilities without requiring user accounts or telemetry.

features

Key Features of Guardana

Guardana provides a robust set of features designed to secure AI applications across their lifecycle, from development to deployment. These capabilities ensure comprehensive security assessments and allow for tailored risk identification.

  • Scans model artifacts for potential vulnerabilities.
  • Probes live endpoints to assess runtime security risks.
  • Grades execution traces to identify security weaknesses during operation.
  • Includes 51 built-in checks for static and dynamic security assessments.
  • Allows custom rule definition using YAML or Python for application-specific checks.
  • Supports integration with CI pipelines, including GitHub Actions, for automated security checks.
  • Offers offline capabilities, enabling security assessments in restricted environments.
  • Operates without requiring an account or collecting telemetry data.

use cases

Who Should Use Guardana?

Guardana is primarily designed for AI development teams and security professionals who need to ensure the security and integrity of their AI applications. Its features cater to various stages of the AI development and deployment pipeline.

  • AI development teams seeking to identify and mitigate security risks in their AI applications.
  • Security professionals responsible for AI model security verification and compliance.
  • Organizations requiring dynamic security assessments for live AI endpoints.
  • Teams looking to integrate AI security checks directly into their CI pipelines.

how to use

How to Use Guardana

Guardana can be utilized to scan AI model artifacts, probe live endpoints, and grade execution traces. Its integration with CI pipelines facilitates automated security assessments.

  • 1Install Guardana via its CLI or integrate it into a web-based environment.
  • 2Configure Guardana to scan AI model artifacts, such as ONNX or TensorFlow models.
  • 3Set up Guardana to probe live AI application endpoints for dynamic security analysis.
  • 4Define custom security checks using YAML or Python to address specific application requirements.
  • 5Integrate Guardana into CI pipelines, such as GitHub Actions, to automate security assessments.
  • 6Review the generated security grades and reports to identify and remediate risks.

pricing

Guardana Pricing & Plans

Guardana is an open-source tool available for free. There are no paid tiers or subscription plans associated with its core functionality.

  • Guardana: free (open-source, full functionality)

Pros

  • +Provides 51 built-in checks for comprehensive static and dynamic AI security assessments.
  • +Allows for custom rule definition using YAML or Python, enabling tailored security policies.
  • +Integrates directly into CI pipelines, such as GitHub Actions, for automated security checks.
  • +Offers offline capabilities, suitable for secure or air-gapped environments.
  • +Operates without requiring an account or collecting telemetry, enhancing privacy and ease of use.
  • +Available as a free, open-source tool, reducing cost barriers for adoption.

Cons

  • −Specific user reviews and reception data are not readily available.
  • −The tool's capabilities regarding specific AI model types (e.g., deep learning, classical ML) are not explicitly detailed.
  • −Multimodality support for AI applications is not specified.
  • −The primary use cases and target persona are broadly defined, lacking granular detail.
  • −No explicit API is mentioned for external integration beyond CI pipelines.

Similar Tools

Guardana vs Competitors

Guardana operates in the AI security landscape alongside tools that offer specialized or broader security capabilities. Its focus on scanning model artifacts, probing live endpoints, and grading execution traces differentiates it from other solutions.

1
Garak↗

Garak is an LLM vulnerability scanner that probes for a wide range of weaknesses like prompt injections, data leaks, and jailbreaks in chatbots and other LLMs.

While Guardana offers broad AI application security, Garak specializes in deep vulnerability scanning for Large Language Models, providing detailed reports on LLM-specific risks.

2
Adversarial Robustness Toolbox (ART)↗

ART is a Python library designed to help researchers and developers assess, defend, and verify ML model security against various adversarial threats like evasion and poisoning attacks.

ART is a programmatic library for building custom adversarial testing and defense mechanisms, offering deep control over model hardening, whereas Guardana provides a more automated, out-of-the-box scanning experience.

More on Stork

Related AI Tools

Other tools in this category, matched by shared tags

StiploStartup TrendsZukimoCosmidentConvert Bank StatementBeecargo
Visit Guardana↗
Connect
⌘
GitHubgithub.com/guardana/guardana