Establish trusted AI with DSPM best practices

Description

Generative AI is a powerful tool, carrying inherent risks like any new technology. To effectively harness its potential, organizations must prioritize curating high-quality data—great AI requires great data. In this webinar, we’ll delve into strategies that empower security professionals to harness AI effectively while maintaining data safety and ethical practices. Specifically, we’ll dive into:

• Complex Challenges: Gain a deep understanding of the interplay between data security and AI, including the specific risks associated with generative models, while proactively tackling challenges and emphasizing the importance of human oversight for data quality and optimal outcomes.

• Establishing Data Trust for AI: Adopt a holistic approach to data and identity management, tackling challenges like ROT data, mismanaged corporate data (including intellectual property and employee data), and privacy considerations.

• Proven DSPM Approach: Discover a reliable Data Security Posture Management (DSPM) approach for safeguarding data throughout its lifecycle, especially in the context of data for AI.

• Access Control: Learn how to manage access to data by utilizing role-based controls (RBAC), principle of least privilege and other key components in Identity and Access Management (IAM).

Join us as we navigate how to empower organizations to adopt AI responsibly. September 17, 2024| 11:00 a.m. ET | 5:00 p.m. CEST

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Speakers: Greg Clark, Director Product Management - OpenText; Rob Aragao, Chief Security Strategist - OpenText; Valerie Mayer, Senior Product Marketing Manager - OpenText.