Ensure secure and effective Assured Data Deletion

TurtleShield Responsible AI

TurtleShield Responsible AI tool assesses and audits any third-party vendor of an AI system that uses your organization's data. Our automated tool both guides through a vendor risk assessment, evaluates, and identifies the potential data protection impact . We want to help you build AI ethics by design for your organization.

Key Features

Evaluate

Align

Audit

Know when your AI System is Secure

Privacy and security professionals are now being tasked with all of the new procurement of the AI systems, and with these emerging technologies, there is a general lack of expertise.
Every organization wants to integrate tools to increase productivity and efficiency, but how do they know when these new systems are secure enough to be integrated with the organization’s data?

Solutions

Accountability and responsibility for vendors starts at the acquisition phase. Evaluate the standards, practices, and policies of an AI system before.

Know when your AI System is Secure

Privacy and security professionals are now being tasked with all of the new procurement of the AI systems, and with these emerging technologies, there is a general lack of expertise.
Every organization wants to integrate tools to increase productivity and efficiency, but how do they know when these new systems are secure enough to be integrated with the organization’s data?

Solutions

Accountability and responsibility for vendors starts at the acquisition phase. Evaluate the standards, practices, and policies of an AI system before.

Problems it Addresses

The “black box” problem of AI systems - accountability issues

Usually, AI systems are more difficult to assess than other third party vendors. Asking the right technical questions up-front helps disclose the most important aspects of the vendor you’re outsourcing to.

Comprehensive questionnaires are often time-consuming to create, and fill out.

Our system questionnaire is both generic enough to fit the needs of your organization, while also specific enough to address the real, emerging questions that come with AI vendors. Standardize your evaluation process and save your organization time!

Differing standards of data protection and security

A quality risk evaluation can help protect access to your organization's most vulnerable data and internal resources.

How It Works

AI ethics by design starts at acquisition and procurement. Before you buy and integrate a new AI system, it must be evaluated against your own organizational standards.

Our automated risk assessment determines the accountability, responsibility, security, and ethics of these systems. An automated deliverable explains the various potential levels of risks across several sectors.

Our TurtleShield tools also allow for an ongoing auditing process. We provide the processing available to do data inventory and data mapping, to keep visibility on your AI system integration.

Industry Scenario : Fraud Detection

Integrating AI as a service (AIaaS) is easiest through a third-party vendor, and many industries are realizing this power. For example, AIaaS can provide highly responsive evaluations of sophisticated fraud detection. However, before an organization contracts with a vendor for this type of event-based AI system, they need to be aware of the structure, integrity, and security of the system.

Identify the limits and capabilities of the new system.

Determine whether data security and privacy standards are compatible with your organization

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TurtleShield Responsible AI