Anonos in the field
Conference talks, panels, and industry appearances where our team shares the thinking behind data protection powered by advanced tokenization.
Tokenization as a Utility-Preserving Governance and Security Layer for AI
Mark Little, Chief Technology Officer — Analytics Frontiers Conference, Data Privacy & Security Track.
In When AI Talks Too Much, Mark walks through why generative and agentic systems are widening the gap between what enterprises want to do with sensitive data and what their existing controls actually permit, and how policy-governed tokenization closes that gap without degrading model utility.
The talk covers the architecture behind dynamically changing, temporally unique identifiers, how they support authorized utility without unnecessary exposure, and where this approach fits alongside the controls organizations already have in place.
Topics we cover
Recurring themes across our conference talks, panels, and industry briefings.
Governance for sensitive data workflows
How policy-controlled identifiers let enterprises operate sensitive data workflows, from payments and fraud detection to large-scale data processing, without exposing the underlying information to systems that do not need it.
The limits of static controls
Where conventional masking and encryption stop being enough, and what a policy-controlled, context-aware identifier architecture adds when data must remain usable to authorized parties while being protected from everyone else.
Cross-border and regulated data
Practical patterns for moving regulated data across jurisdictions while keeping it usable to authorized parties under policy, in alignment with frameworks that require data minimization and purpose limitation.
Inviting us to speak?
We regularly present at industry conferences, customer events, and analyst briefings on tokenization, data governance, and AI security.
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