Generative AI Security & Governance Assessment
Realizing the True Value of Your Investments: Engage, Adapt, Succeed
Your Partner in AI Security and Governance
The biggest obstacle to AI adoption is the fear of security breaches. In fact, 82% of leaders worry most about sensitive data leaks.
Mazik Global can help you overcome these concerns. Our expertise ensures your AI solutions are ethical, responsible, and compliant with regulations, aligning with your organization’s values.
Balancing AI Ambition with Readiness
According to McKinsey | March 13, 2024
63% of organisations say implementing generative AI is a high priority. Yet 91% of those don’t feel “very prepared” to do so in a responsible manner.
Book Your Assessment
Establish essential AI governance procedures with an expert at your side.
Mazik Global'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 quickly establish a set of guiding standards for your organization.
- Comprehensive Understanding: By the end, you'll have a deep understanding of responsible AI governance.
- AI Adoption: You'll be ready to start implementing AI solutions.
- Policy Framework: You'll have a blueprint for policies and governance procedures.
- Resilient AI: You'll learn how to create AI that is robust and adaptable.
- Custom Chat GPT: You'll have the option to develop a private Chat GPT tailored to your needs.
Mazik Global's Approach to
AI Security and Governance
We're a trusted Microsoft AI Partner
As a top Microsoft Solutions Partner with a designation in Data & AI, we hold specializations in…
- Artificial Intelligence & Machine Learning
- Analytics
- Infra and Database Migration
- Migrate Enterprise Applications to Azure
- Intelligent Automation
Mazik Global's AI Governance Framework
- Define AI Goals: Establish a clear AI vision, mission, and values.
- Align with Business Strategy: Ensure your AI goals align with your overall business objectives and stakeholder expectations.
- Develop Guidelines: Create comprehensive AI policies and procedures for data collection, processing, storage, sharing, and more.
- Document Processes: Clearly document all AI-related processes to ensure compliance and consistency.
- Ensure Data Quality: Maintain high data quality, integrity, and availability.
- Address Governance Issues: Implement effective data governance practices to manage risks and breaches.
- Identify and Assess Risks: Proactively identify potential risks associated with your AI solutions.
- Mitigate Threats: Prioritize and implement strategies to mitigate identified risks.
- Adhere to Principles: Ensure your AI practices align with ethical principles like transparency, fairness, and accountability.
- Comply with Regulations: Stay compliant with relevant AI regulations and standards.
- Educate Stakeholders: Provide comprehensive training on AI benefits, challenges, and responsibilities.
- Foster AI Literacy: Promote AI literacy among employees, customers, and partners.
- Define Roles: Clearly define the roles and responsibilities of your AI team members and stakeholders.
- Assign Tasks: Assign tasks and responsibilities based on individual expertise and skills.
- Measure Performance: Establish key performance indicators (KPIs) to measure the effectiveness of your AI solutions.
- Optimize Outcomes: Use data-driven insights to continuously improve your AI initiatives.
- Select Vendors: Choose reliable vendors providing AI-related products or services.
- Manage Partnerships: Effectively manage relationships with external vendors and partners.
