#saifrisk

SAIF Risk Assessment: An innovative instrument to support industry-wide AI system security

AI developers and organizations can use the interactive SAIF Risk Assessment to evaluate threats, strengthen security procedures, and evaluate their security posture.

Google unveiled its Secure AI Framework (SAIF) last year to assist others in deploying AI models in a responsible and safe manner. It provides a platform for the industry, frontline developers, and security experts to guarantee that AI models are secure by design when they are applied, in addition to sharing its best practices. Google worked with industry partners to create the Coalition for Secure AI (CoSAI) using SAIF principles to promote the implementation of crucial AI security measures. To help others evaluate their security posture, implement these best practices, and put SAIF ideas into effect, it offers a new tool today.

The SAIF Risk Assessment, a questionnaire-based tool that can be used right now on its new website SAIF.Google, will provide practitioners with an immediate, customized checklist to help them safeguard their AI systems. This readily available technology closes a crucial gap in advancing the AI ecosystem toward a more safe future.

SAIF Risk Assessment Update

For practitioners in charge of safeguarding their AI systems, the SAIF Risk Assessment assists in transforming SAIF from a conceptual framework into a workable checklist. The tool is available to practitioners on the new SAIF’s navigation bar.

In order to learn more about the submittor’s AI system security posture, the assessment will begin with questions. Training, tuning, and evaluation; access restrictions to models and data sets; avoiding assaults and adversarial inputs; secure generative AI designs and coding frameworks; and generative AI-powered agents are some of the topics covered in the questions.

The tool’s operation

Following completion of the questions, the tool will instantly generate a report that, depending on the submittor’s answers, identifies particular threats to their AI systems and offers potential solutions. Data poisoning, prompt injection, model source tampering, and other dangers are among them. It will describe the technical risks and the procedures to mitigate them, as well as the reasons behind the assignment of each risk found by the risk assessment tool. Visitors can investigate an interactive SAIF Risk Map to gain a better understanding of how various security threats are introduced, exploited, and addressed during the AI development process.

A CoSAI upgrade

The Coalition for Secure AI (CoSAI) has also been advancing and recently started three technical workstreams with 35 industry partners: AI Risk Governance, Preparing Defenders for a Changing Cybersecurity Landscape, and Software Supply Chain Security for AI Systems. These initial priority areas will inform the development of AI security solutions by CoSAI working groups. In particular, the SAIF Risk Assessment Report capability complements CoSAI’s AI Risk Governance workstream, fostering a more secure AI ecosystem throughout the sector.

Google Cloud is eager for practitioners to safeguard their AI systems by utilizing the SAIF Risk Assessment and applying the SAIF principles.

FAQs

How does the SAIF Risk Assessment work?

A number of questions concerning the security mechanisms in place for your AI system at various stages such as training, tuning, evaluation, access control, and attack prevention are asked at the start of the assessment. The program creates a report outlining certain hazards and offers suitable mitigation techniques based on your answers.

What kind of risks does the SAIF Risk Assessment identify?

Data poisoning, prompt injection, model source tampering, and other vulnerabilities unique to AI systems are among the dangers identified by the assessment.

What information does the report provide?

In addition to listing the hazards that have been found, the report provides a thorough explanation of each risk, along with information on its technical ramifications and suggested mitigation measures. It serves as a manual for improving your AI systems’ security.

What is CoSAI, and how is it connected to the SAIF Risk Assessment?

An industry partnership called CoSAI (Coalition for Secure AI) is dedicated to creating AI security solutions. The SAIF Risk Assessment helps create a more secure AI ecosystem across businesses by coordinating with CoSAI’s AI Risk Governance workstream.