<p align="center">AI Threat Modeling Solution<br> <i><b>Questionnaire to identify threats in AI/ML applications </b></i><br> Developed by the Comcast SPIDER Team</p>

Contents

• Project GuardRail
• Quickstart
• Who Can Benefit
• Purpose
• How
• Structure
• Publications
• Talks
• External Visibility
• Roadmap
• Sources
• Contributions
• License

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Project GuardRail

Project GuardRail is a comprehensive security framework that focuses on AI risk assessment across the entire lifecycle of AI applications. It is specifically designed to address the unique security risks faced by AI/ML applications. It provides a questionnaire-based approach to identify and assess potential risks associated with AI technologies, enabling organizations to make informed decisions and implement appropriate risk mitigation measures. It can be integrated at any phase of the secure development lifecycle, allowing for continuous assessment and improvement of AI applications.

<!--Project GuardRail is a comprehensive security framework specifically designed to address the unique security threats faced by AI/ML applications. It provides a questionnaire-based approach to threat modeling, ensuring that security and privacy requirements are met during the design phase. By acting as guardrails, Project GuardRail helps protect AI/ML applications against these threats. Project GuardRail is a comprehensive security framework that focuses on AI risk assessment across the entire lifecycle of AI applications. It provides a structured approach to identify and assess potential risks associated with AI technologies, enabling organizations to make informed decisions and implement appropriate risk mitigation measures.--> <!-- ## Overview AI/ML applications have unique security threats. Project GuardRail provides a questionnaire that includes a set of threat modeling questions for AI/ML applications. It helps ensure to meeting security and privacy requirements during the design phase, which serve as guardrails against those threats. The requirements help scope the threats to protect AI/ML applications against. It consists of a baseline set required for **all** AI/ML applications and two additional set of requirements that are specific to **continuous learning** and **user-interacting** models. There are four additional questions that are specific to generative AI applications only. -->

Quick Start

To quickly get started with Project GuardRail, follow these steps:

1. Familiarize yourself with the questionnaire on this page and its structure.
2. Determine the appropriate phase of the secure development lifecycle to incorporate AI risk assessment.
3. Assess your AI application against the relevant risk assessment criteria provided by Project GuardRail.
4. Implement the recommended risk mitigation measures and best practices based on the assessment results.

<!--To quickly get started with Project GuardRail, follow these steps: 1. Familiarize yourself with the threat modeling questionnaire and its structure. 2. Determine the category that your AI/ML application falls into: baseline, continuous learning, user-interacting, or generative AI. 3. Assess your application against the relevant set of requirements outlined in the questionnaire. -->

Who Can Benefit?

Project GuardRail is beneficial for

• developers,
• data scientists,
• security professionals,
• project managers,
• and organizations involved in the development and deployment of AI applications, including third-party AI vendors.

It provides comprehensive guidance and a structured approach to assess AI risks, ensuring the implementation of appropriate security measures and adherence to necessary security and privacy requirements throughout the application's lifecycle.

<!--Project GuardRail is beneficial for developers, data scientists, security professionals, and project managers involved in the development and deployment of AI applications. It provides guidance and tools to aid in the assessment of AI risks, ensuring that appropriate security measures are implemented throughout the application's lifecycle. Project GuardRail is beneficial for developers and organizations working on AI/ML applications, as well as third-party AI vendors. It provides a structured approach to assess and address security threats, ensuring that AI/ML applications meet the necessary security and privacy requirements. -->

Purpose

The purpose of Project GuardRail is to enable organizations to conduct comprehensive AI risk assessments at any phase of the AI application's lifecycle. This helps ensure potential security and privacy risks are identified and any relevant considerations are integrated from the early design phase. By identifying potential risks and vulnerabilities, Project GuardRail empowers organizations to make informed decisions regarding the security, privacy, and ethical considerations of their AI applications. By applying the baseline and additional requirements (additional1 and additional2) specific to different AI/ML application types, Project GuardRail helps scope and address the risks that these applications may face.

<!--The purpose of Project GuardRail is to enable organizations to conduct comprehensive AI risk assessments at any phase of the AI application's lifecycle. By identifying potential risks and vulnerabilities, Project GuardRail empowers organizations to make informed decisions regarding the security, privacy, and ethical considerations of their AI applications. The purpose of Project GuardRail is to guide the threat modeling process for AI/ML applications, ensuring that security and privacy considerations are integrated from the early design phase. By applying the baseline and additional requirements specific to different AI/ML application types, Project GuardRail helps scope and address the threats that these applications may face.-->

Use Cases

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• Secure Development: Project GuardRail enables developers to conduct AI risk assessments and incorporate security measures throughout the development process, ensuring that AI applications are built with a strong focus on security, privacy, and ethical considerations.
• Compliance and Regulations: Organizations can leverage Project GuardRail to assess AI applications against industry-specific regulations and compliance requirements, ensuring adherence to data protection, privacy, and security standards.
• Third-Party AI Vendors: Project GuardRail provides a structured approach for organizations to assess the security posture of AI solutions offered by third-party vendors, enabling informed decision-making and ensuring the selection of secure and reliable AI technologies.
• Continuous Monitoring: By integrating Project GuardRail into the ongoing monitoring and maintenance of AI applications, organizations can proactively identify and address emerging risks, ensuring the ongoing security and integrity of their AI systems.
• Risk Mitigation: Project GuardRail aids in identifying potential risks and vulnerabilities associated with AI technologies, allowing organizations to implement appropriate risk mitigation strategies and controls to protect against potential threats.
• Ethical AI Development: Project GuardRail assists organizations in considering ethical implications and promoting responsible AI development by incorporating guidelines and assessments for fairness, transparency, and bias mitigation.

How?

Project GuardRail provides a risk assessment questionnaire derived from various frameworks and sources. The questionnaire consists of baseline requirements applicable to all AI/ML applications, additional requirements for continuous learning and user-interacting models, and specific questions for generative AI applications. Each requirement is categorized into data, model, artefact, and system/infrastructure, based on the element of the ML application to which the threat is relevant. This questionnaire can be used as an assessment for both AI/ML applications as well as new third-party AI vendors.

After an application undergoes the usual security review process and it is determined that it is not an AI/ML-driven application, the review ends. Otherwise, the application developers can take the baseline assessment. Following this, depending on whether the underlying model fits into the two additional categories outlined above, additional assessment questions can be added. This questionnaire can then be reported to the threat modeling team for review.

To use Project GuardRail, assess your AI application against the provided risk assessment criteria, considering factors such as data handling, model robustness, privacy protection, and ethical considerations. Based on the assessment results, implement the recommended risk mitigation measures and best practices to enhance the security and reliability of your AI application.

![Process-Diagram-GuardRail](assets/Process-Dia