As organizations accelerate AI adoption, the real risk is no longer the model, but the uncontrolled access to sensitive data. Every piece of data shared, especially externally, must be secure, governed, auditable, and compliant, whether accessed by humans, systems, or AI agents. With AI operating at scale and without inherent policy awareness, this risk is growing exponentially.

This discussion explores how Kiteworks enables organizations to enforce control at the data layer, ensuring every interaction is authorized, governed, and fully auditable. The result: compliant, secure data exchange at scale, regardless of who or what is accessing the data.

Discussion Topics Will Include:

• Why AI dramatically increases the risk of uncontrolled data access and sharing
• Why classic Zero Trust falls short: the hidden risk in uncontrolled data flows across email, MFT, file sharing, and AI tools
• How to enforce governance consistently across humans, systems, and AI agents
• What regulators and auditors actually expect: evidence, not assumptions
• How Kiteworks delivers control, visibility, and compliance at the data layer

What You’ll Take Away:

• Clear understanding of why AI governance must be enforced at the data layer
• Insight into how to maintain control over sensitive data across all channels
• Practical view on making AI initiatives compliant and audit-ready
• Understanding of how to reduce risk from uncontrolled data sharing
• Concrete approach to achieving full visibility and control with Kiteworks

About Kiteworks

Kiteworks is a global cybersecurity company protecting sensitive content communications for regulated industries. Our Private Data Network (PDN) unifies secure email, file sharing, managed file transfer, and web forms into one governed platform, with a single policy layer and one audit trail.

Trusted by 35,000+ organizations across government, defense, healthcare, finance, and legal sectors, Kiteworks ensures sensitive data is always secure, compliant, and under full control.