AI Security & Governance Assessment | Quisitive
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Generative AI Security & Governance Assessment

The top concern for AI adoption is lack of security control. Did you know that 82% of leaders cited leakage of sensitive data as their main concern?

Quisitive can help. Ensure your AI solutions are ethical, responsible, and aligned with your organizational values while you comply with regulations.
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Establish critical AI governance procedures with an expert at your side

Quisitive's Generative AI Security & Governance Assessment will help you understand ethical and responsible AI principles and establish critical AI policies and governance procedures. A series of discussions will help quickly establish a set of guiding standards for your organization.

McKinsey finds that 63% of organizations say implementing generative AI is a high priority. Yet 91% of those don’t feel “very prepared” to do so in a responsible manner.

Quisitive can help.

 

By the end of this assessment, you will have a comprehensive understanding of the key aspects of responsible AI governance and will be positioned to start adopting AI solutions. You will also get an outline of policies and governance procedures to help ensure you create Resilient Artificial Intelligence.

 

You will also have the option to develop a private Chat GPT.

 

Interested in scheduling a Generative AI Security & Governance Assessment? Want to learn more? Fill out the form to connect with our team.

Book your Generative AI Security & Governance Assessment
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Quisitive's Generative AI Security & Governance Assessment covers the following topics:
Strategy & Vision

How to define your AI vision, mission, and values. Also, how to align them with your business strategy and stakeholder expectations.

Policies & Procedures

How to determine, create, and document your AI policies and procedures, such as data collection, processing, storage, sharing, and more.

Data Management

How to manage data quality, integrity, availability, diversity, governance issues, risks, and breaches.

Strategy & Vision

How to define your AI vision, mission, and values. Also, how to align them with your business strategy and stakeholder expectations.

Risk Management

How to identify, assess, prioritize, and mitigate the potential risks of your AI solutions.

Ethics & Compliance

How to adhere to the ethical principles and standards of responsible AI, such as transparency, fairness, accountability, privacy, etc.

Training & Education

How to educate and train your employees, customers, partners, and other stakeholders on the benefits, challenges, and responsibilities of using AI, and more.

Roles & Responsibilities

How to define and assign the roles and responsibilities of your AI team members and stakeholders, and more.

Metrics

How to measure the performance and impact of your AI solutions and how to use data-driven insights to optimize your AI outcomes.

Vendor Management & Technology Infrastructure

How to select and manage your external vendors and partners who provide AI-related products or services, and more.

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About Quisitive

Quisitive (TSXV: QUIS) is a premier, global Microsoft partner that harnesses the Microsoft cloud platform and complementary technologies, including custom solutions and first-party offerings, to generate transformational impact for enterprise customers. Quisitive has consistently been recognized as a leading Microsoft Partner with 15 Advanced Specializations and all 6 Solution Partner Designations. Quisitive's Microsoft awards include the 2024 Worldwide Partner of the Year for Analytics, 2023 US Partner of the Year for Health and Life Sciences, 2023 US Partner of the Year for Solution Assessment, and 2023 US Partner of the Year Finalist for the Industrial and Manufacturing vertical. Quisitive has been recognized for its solutions in healthcare four years in a row and recognized by Microsoft's Partner of the Year program for six years. Quisitive services clients globally from seventeen employee hubs across the world.
For more information, visit www.quisitive.com and follow @BeQuisitive.
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