The ROI of Trust: Why Secure AI is Faster AI

The massive promise of AI in the back office, from automated invoices to employee records, is often clouded by security concerns. In today’s landscape, trust is the essential foundation for data integrity and operational speed.  With models changing daily, the risk of sensitive and proprietary data leaking into public training sets has made data sovereignty a boardroom priority. 

Mounting regulatory demands like GDPR and the rise of Agentic AI mean safety must go beyond a firewall; it requires a "security-by-design" framework that protects your intellectual property while maximizing the value of the latest technologies. True safety involves keeping data under your control, shielding sensitive information from public models, and maintaining the integrity of the information driving your organization's decisions.

In this session, GigaOm and Iron Mountain partner to explore how to leverage cutting-edge automation without compromising data sovereignty. You will discover how to build an AI ecosystem that remains secure, allowing your organization to scale agentic automation with confidence.

What you’ll learn:

• Securing AI value: Isolate sensitive data to leverage the latest AI technologies while maintaining privacy.
• Enforced integrity: Secure output quality and accuracy by enforcing human reviews at key process stages.
• Agentic automation: Delegate "human-in-the-loop" tasks to self-learning agents via governed automation.