Blog

From compliance to confidence: Insights from IAPP Privacy. Security. Risk. 2025

November 6, 2025
3 min. Read
Jessica Pate
Jessica Pate
Lead, Product Management

From compliance to confidence: Insights from IAPP Privacy. Security. Risk. 2025

November 6, 2025
3 min. Read

This past week at IAPP Privacy. Security. Risk. 2025 in San Diego was an incredible experience for the Relyance AI team. The conversations at our booth and during sessions were insightful and energizing, centered on the challenges of agentic AI, shadow AI, and the urgent need for adaptive governance. It was exciting to see how organizations are thinking critically about AI, privacy, and compliance, and how eager they are for actionable solutions.

During our speaking session, “Beyond Compliance: AI Governance That Puts People First,” I had the pleasure of hosting a panel with Heather Allen from CHG Healthcare and Sheila Jambekar from Dayforce, or as we like to call them, “Sheather.” We explored the shift from traditional, static compliance approaches to proactive, people-first AI governance. 

At the Relyance booth, many attendees told us that our AI Governance Framework sparked thinking they hadn’t had before. The key message resonated: it’s not a question of whether we’ll use agentic AI, but how responsibly we’ll adopt it. We highlighted real-world challenges like the rapid adoption of AI across tools, managing shadow AI, and treating agentic AI more like a new employee than static software,a perspective that really drove home the urgency for adaptive governance.

Key takeaways from the conference

From my perspective, a few themes stood out:

  • Organizations are looking for live, continuous visibility and control over AI usage, including shadow AI.
  • There’s a clear shift from reactive, static governance to real-time, adaptive frameworks.
  • Teams want practical guidance on implementing governance and engaging business stakeholders effectively.

Attendees also expressed concern about the compounding risks of agentic AI and the limitations of traditional governance. It was clear that a technical solution that governs AI with AI is no longer optional, it’s essential.

How Relyance AI helps

Relyance AI provides an adaptive, people-first governance framework powered by Data Journeys™, giving organizations complete code-to-cloud data lineage and enabling continuous compliance. The concept of the Data Defense Engineer unites privacy, security, and AI governance teams to work in harmony, turning governance into a proactive, ongoing process.

For anyone looking to see this in action, a live demo is the next step to experience how Relyance AI delivers real-time visibility and control across the entire AI footprint.

This past week at IAPP Privacy. Security. Risk. 2025 in San Diego was an incredible experience for the Relyance AI team. The conversations at our booth and during sessions were insightful and energizing, centered on the challenges of agentic AI, shadow AI, and the urgent need for adaptive governance. It was exciting to see how organizations are thinking critically about AI, privacy, and compliance, and how eager they are for actionable solutions.

During our speaking session, “Beyond Compliance: AI Governance That Puts People First,” I had the pleasure of hosting a panel with Heather Allen from CHG Healthcare and Sheila Jambekar from Dayforce, or as we like to call them, “Sheather.” We explored the shift from traditional, static compliance approaches to proactive, people-first AI governance. 

At the Relyance booth, many attendees told us that our AI Governance Framework sparked thinking they hadn’t had before. The key message resonated: it’s not a question of whether we’ll use agentic AI, but how responsibly we’ll adopt it. We highlighted real-world challenges like the rapid adoption of AI across tools, managing shadow AI, and treating agentic AI more like a new employee than static software,a perspective that really drove home the urgency for adaptive governance.

Key takeaways from the conference

From my perspective, a few themes stood out:

  • Organizations are looking for live, continuous visibility and control over AI usage, including shadow AI.
  • There’s a clear shift from reactive, static governance to real-time, adaptive frameworks.
  • Teams want practical guidance on implementing governance and engaging business stakeholders effectively.

Attendees also expressed concern about the compounding risks of agentic AI and the limitations of traditional governance. It was clear that a technical solution that governs AI with AI is no longer optional, it’s essential.

How Relyance AI helps

Relyance AI provides an adaptive, people-first governance framework powered by Data Journeys™, giving organizations complete code-to-cloud data lineage and enabling continuous compliance. The concept of the Data Defense Engineer unites privacy, security, and AI governance teams to work in harmony, turning governance into a proactive, ongoing process.

For anyone looking to see this in action, a live demo is the next step to experience how Relyance AI delivers real-time visibility and control across the entire AI footprint.

You may also like

The black box opens: introducing AI Governance Expert

The black box opens: introducing AI Governance Expert

November 3, 2025
The black box opens: introducing AI Governance Expert

Static security is dead: How AI agents are killing traditional data security models

November 3, 2025
Static security is dead: How AI agents are killing traditional data security models

From the floor at Gartner IT Symposium/Xpo™ 2025: Real-time data and AI governance

October 31, 2025
From the floor at Gartner IT Symposium/Xpo™ 2025: Real-time data and AI governance
No items found.
No items found.