See how enterprises can move AI forward without losing control of sensitive data.

LETTER FROM PROTEGRITY

Hi ala,

The expectations that your AI projects will be valuable is high. Too often, their value is limited because sensitive data is restricted in use in LLMs. Your projects could have limited impact due to out of date data protection.

Protegrity addresses the gap between data utility and risk within AI by embedding protection directly into companies’ new AI architecture.

Protegrity AI Team Edition is now generally available, giving teams a new way to secure inferencing with zero model exposure. It is built to protect data and knowledge directly in AI workflows, with policy-driven controls, auditable interactions, and deployment designed to scale. In addition, we are featuring resources your team can use right away if you are trying to move AI beyond pilot mode.

If AI is on your roadmap, these are the most useful next steps:

• Take the demo: See how Protegrity protects sensitive data at the source for AI and analytics workflows
• Read the GA announcement: Get the details on AI Team Edition and what is now available
• Join the webinar series: Learn how to move from pilot to production with stronger control over sensitive data

FEATURED

AI WITHOUT COMPROMISE WEBINAR SERIES

AI initiatives break down when teams cannot align data access, governance, and production controls. 

Our AI Without Compromise webinar series looks at how enterprises can move AI forward without losing control of sensitive data. Across four sessions, Protegrity experts cover secure data access, governance, and practical controls for moving from pilot to production with less friction.

SECURE DATA AT THE SOURCE

AI systems need data teams can use safely. Protegrity helps you protect sensitive data before it reaches training, inference, or agentic workflows, so your teams can move faster with control built in.

PROTEGRITY AI TEAM EDITION IS NOW GENERALLY AVAILABLE

Protegrity AI Team Edition introduces a new approach to secure inferencing with zero model exposure. It is designed to protect data and knowledge used in AI systems with policy-driven enforcement, auditable interactions, and architecture built to scale across teams. 

AI KNOWLEDGE CENTER

Get practical guides, playbooks, tools, and case studies on protecting sensitive data across AI pipelines, LLMs, and analytics workflows. Visit the AI Knowledge Center.

DATABRICKS VALIDATED TECHNOLOGY PARTNER

Protegrity is now a Databricks validated technology partner, giving teams another path to apply data-centric protection in AI and analytics environments. Read more.

JUST-IN-TIME DATA VISIBILITY

Browser Protector gives authorized users a way to reveal protected data inside web apps at the moment of use, without changing the application itself. It is built around centrally governed policy, enterprise SSO, and no keys or decryption logic in the browser.

IS THIS OUR END? OR JUST ANOTHER EXTINCTION EVENT?

This piece takes a step back from AI panic and makes a simpler point: tech has gone through major disruption before, and the teams that adapt to the next operating model are the ones that last.

WAAS: WEIRDNESS AS A SERVICE

AI is changing how people work in ways that feel useful, odd, and hard to verify all at once. This article looks at that “weirdness” head on and asks what it means for trust, labor, expertise, and the systems now shaping daily work.

IN THE NEWS

MCP IS GAINING GROUND, BUT GOVERNANCE AND SECURITY STILL NEED WORK

MCP is getting traction as a way to connect AI models to tools and data sources, but adoption still comes with context sprawl, fragmented deployments, and policy gaps. The takeaway is clear: open standards can help teams move faster, but enterprise use still needs strong guardrails around sensitive data, oversight, and control.

EVALUATING RELIABLE AND TRANSPARENT AI IN HEALTHCARE

Healthcare IT Today examines how organizations should evaluate AI reliability, transparency, and bias in real workflows: The article brings together industry perspectives on why healthcare AI needs continuous evaluation, stronger traceability, and closer attention to fairness and governance as adoption expands across clinical and administrative use cases.

READY TO PUT AI TO WORK WITH SENSITIVE DATA?

You do not need to choose between AI progress and data control. 

See how Protegrity helps protect sensitive data before it reaches training, inference, and agentic workflows so your team can move faster with clear policy control from the start.

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