Artificial intelligence (AI) is revolutionizing the way businesses operate, driving significant improvements in productivity and efficiency. According to Forbes, 64% of businesses are boosting productivity with AI, and 53% are enhancing production processes.

However, with the rapid growth of AI, managing data effectively has become more challenging. IDC predicts that data will grow at a compound annual growth rate of 21.2%, reaching over 221,000 exabytes by 2026. This data explosion poses critical challenges for maintaining data quality, productivity, and security even before delving into AI.

Why Trust Matters in AI

Trusted data is the cornerstone of successful AI implementation. High-quality, well-managed data ensures the accuracy and reliability of AI systems. Addressing issues like redundant, obsolete, or trivial (ROT) data and safeguarding AI training data are essential for building trust in AI. Without trusted data, AI systems can increase risks and produce unreliable or biased results, ultimately undermining their effectiveness and credibility.

Best Practices for Data Security and Ethical AI

1. Adopt a Proven DSPM Approach: Implementing a data security posture management (DSPM) strategy is crucial for protecting data throughout its lifecycle. This proactive approach ensures AI operates on trustworthy data, maintaining the credibility of AI-driven insights. A robust DSPM strategy involves anticipating and mitigating risks, ensuring that AI systems are both secure and reliable.
2. Maintain Tight Access Controls: Using role-based access controls (RBAC) and the principle of least privilege helps manage data access, creating a secure environment for AI technologies. By limiting access to only those who need it, organizations can reduce the risk of data breaches and ensure that AI systems operate within safe parameters.

Join Our Webinar

We invite you to join our exclusive webinar on September 17 at 11 am EST, where industry experts will delve into these best practices and more. This is a fantastic opportunity to learn how to strengthen trust in your AI initiatives and enhance your organization’s data security.

Speakers:

Greg Clark, Director of Product Management, OpenText

Rob Aragao, Chief Security Strategist, OpenText

Moderator:

Valerie Mayer, Senior Product Marketing Manager, OpenText

Don’t miss out on this chance to gain valuable insights and connect with experts in the field. Register here!

For more information on our solutions, check out these resources:

• Ensure Data Trust for Secure AI Adoption Solution Overview
• Future Proofing with Trusted AI White Paper
• Forrester names OpenText a Leader: Data Security Platforms!