Supporting Trust‑First AI Through the Data & Trust Alliance ’s Leadership

At CAS Strategies, we believe trust is not optional—it’s the foundation of sustainable innovation in AI. That’s why we’re proud to support the Data & Trust Alliance (D&TA) in its work to promote trustworthy AI across sectors while enhancing business value.

The Alliance’s focus on applied AI at scale—with deployers at the forefront—is both unique and urgently needed. Its commitment to pairing practical tools with policy insight creates a model for how industry can responsibly navigate this season of rapid innovation and systemic change.

Paper 1:

AI Agents, Privacy, and the Importance of Context in Data Regulation

AI agents act across domains, repurpose personal data in unpredictable ways, and operate under dynamic, often ambiguous conditions. Traditional one-size-fits-all regulation doesn’t hold up.

This paper demonstrates how context-aware governance can protect rights, preserve freedoms, and sustain innovation. In collaboration with leading deployers and expert practitioners, CAS helped frame privacy not as a compliance exercise, but as a core design principle.

We served as both strategic advisor and collaborator, working with member companies that are pioneering trust-first AI. Together, we helped shape the paper to:

• Anchor privacy as foundational, positioning context as a first-class input for regulating agentic systems

• Bridge rigorous analysis with operational insight, ensuring frameworks reflect real deployment, human oversight, and explainability

• Model practical governance, from tiered risk frameworks to dynamic monitoring and use case-specific guardrails

This wasn’t academic theory. The paper is grounded in the lived realities of AI deployment—from data quality engineers to compliance leads, making the recommendations pragmatic and actionable.

Read here: https://dataandtrustalliance.org/work/ai-agents-privacy-and-the-importance-of-context-in-data-regulation

Paper 2:

America’s AI Action Plan: Implications for Business Leaders

Co-authored by Camille Stewart Gloster and Saira Jesani, Executive Director of D&TA, this brief breaks down the July 2025 U.S. AI Action Plan and what it means for corporate leaders—especially deployers, who now sit squarely at the center of applied AI responsibility.

As the regulatory posture shifts toward voluntary standards and public-private collaboration, deployers are expected to lead in operationalizing trustworthy AI. This perspective provides clarity on how business leaders can turn regulatory ambiguity into strategic advantage—with trust, context, and accountability at the core.

Read here: https://dataandtrustalliance.org/news/americas-ai-action-plan-implications-for-business-leaders

What’s Next?

There’s more impactful work on the horizon. Coming soon: the GenAI Vendor Assessment Framework, a cross-industry framework for evaluating the risk and value of third-party Generative AI products during procurement. This initiative, led by Pinal Shah of CAS Strategies, is designed to help organizations make more informed, trust-aligned purchasing decisions in a rapidly evolving AI marketplace.

Together with D&TA and its cross-sector coalition, CAS Strategies continues to build frameworks and tools that embed trust, resilience, and long-term value into AI deployment at scale.

We’re always ready to partner with organizations and deployers to bring this vision to life—translating bold principles into operational realities. If your organization is deploying AI, let’s talk about how to move with both speed and intention.

CAS Strategies helps companies bridge strategic vision with technical execution—grounding innovation in security, policy alignment, and trust.