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Data security as a foundation for secure AI adoption
Organizations moving to AI often face serious data security challenges — from unintentional data leakage to regulatory compliance issues. This whitepaper, "Data Security as a Foundation for Secure AI Adoption," offers step-by-step guidance on how to prepare your data environment before deploying AI. Learn how to classify and label sensitive data, implement compliance controls, and apply protection and loss prevention policies. Download the whitepaper now to get started, and reach out to Takka Technologies for expert consultation on securing your AI transformation.
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How can organizations prepare their data for AI adoption?
Organizations should follow four key steps to prepare their data for AI adoption: 1) Know your data by identifying and classifying sensitive information; 2) Clean up your data by managing permissions and removing obsolete data; 3) Protect your data using labeling and security measures to ensure sensitive information is safeguarded; and 4) Prevent data loss by implementing data loss prevention policies to control how data is shared and accessed.
What are the risks of using AI without proper data governance?
Without proper data governance, organizations face several risks including data oversharing, where unauthorized users access sensitive information; data leakage, where confidential data is inadvertently shared with unsanctioned AI applications; and noncompliant usage, which can lead to regulatory violations and significant fines. Approximately 83% of organizations experience multiple data breaches, highlighting the importance of robust data governance.
Why choose Copilot for Microsoft 365 for AI implementation?
Copilot for Microsoft 365 is designed with built-in security features that help prevent data oversharing and protect sensitive information. It integrates seamlessly with existing Microsoft security and compliance frameworks, ensuring that data remains under the organization's control. Additionally, it allows for personalized content creation while adhering to privacy and compliance commitments, making it a suitable choice for organizations aiming to leverage AI responsibly.
Data security as a foundation for secure AI adoption
published by Takka Technologies
The digital revolution is transforming our organizations and industries, offering new opportunities and challenges. In this context, Takka Technologies' mission is to bring its customers to their full operational potential by making the most of this digital ecosystem. Takka offers intelligent workflow automation solutions so that allow SMEs (and other organizations) can to stay focused on their value chain. Through industry-specific data management, Takka provides its customers with tools to make data-driven decision-making (DDDM).
Takka Technologies fournit des solutions logicielles d'automatisation de processus métier aux PME qui recherchent davantage de performances, de fiabilité et de données structurées dans leur chaîne de valeur ou des activités de support. Les solutions fournies par Takka Technologies incluent la création d'outils et indicateurs qui aident l'entreprise à passer d'un mode de prise de décision traditionnelle à un mode de prise de décision basée sur les données (DDDM).
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