Responsible AI | AI Ethics & Governance

Key Features

Evaluate

Align

Audit

Challenge Fear

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?
RTBF Lifecycle

Solutions

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

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?
RTBF Lifecycle

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

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.

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!

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

Problems It Addresses

How It Works

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.

Delete the data

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.

Generate and store

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.

Responsive information

Identify the limits and capabilities of the new system.

legal hold

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

Featured News & Blogs

Cyber security: Best practices to protect your organization
Key Insights into India’s DPDPA 2023: Navigating the New Era of Data Protection
India's DPDPA 2023 Privacy Policy and Its Impact

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