LETTER FROM PROTEGRITY

Hi ala,

AI is only as valuable as the data and the knowledge it’s allowed to use, and only as safe as the boundaries you put around that knowledge.

That tension sits at the center of nearly every AI initiative we hear about. CEOs wants faster AI adoption, broader Copilot rollouts, and real agentic workflows. Security and compliance teams want assurance that sensitive data doesn’t quietly leak into a prompt, a log, or a model’s memory along the way. Business demand speed and require security. The organizations that are attaining the greatest actual AI results are securing data smarter. They’re building protection directly into the data itself, so it travels wherever the AI goes.

This edition is built around that idea: protecting enterprise knowledge as it moves through Copilot, agentic pipelines, natural-language analytics, and every other surface where AI touches your most sensitive information. Below, you’ll find our latest thinking on zero-trust architecture for agentic AI, a candid look at why Copilot rollouts stall, and a hard question every CEO should be asking about their AI strategy.

I trust you will find useful insights below.


Sincerely,

FEATURED

AI Can Query Your Data—But It Can’t Protect It

Ask sensitive questions of structured data in plain language and get instant, accurate answers – without ever exposing the underlying values. Text to Analytics pairs Protegrity’s data-centric protection with Bodo’s high-performance query engine: your question is grounded in a knowledge graph, translated into optimized SQL and Python behind the scenes, then run against a fully protected database – so even users without clearance to view raw PII still get the insight they need. We put the approach through its paces in a live hackathon, challenging builders to stand up real analytics workflows on protected data in hours instead of months, then try to break them. Watch the showcase video to see what held up, what surprised our own engineers, and why this is quickly becoming the standard for natural-language analytics in regulated industries.

Where is your Copilot rollout today?

Copilot is only as careful as the permissions behind it. It doesn’t create new risk on its own – it simply respects whatever access already exists, which means years of oversharing, stale group memberships, and forgotten SharePoint sites suddenly become searchable in plain English, at scale, in seconds. That’s the uncomfortable truth many rollouts run into after go-live: the tool works exactly as designed, and that’s the problem. Protegrity closes that gap with a data-layer safeguard that keeps sensitive fields protected no matter what Copilot is technically permitted to surface, so IT can say yes to broader adoption instead of slow-walking it. Read the full breakdown to see how it works before your next rollout phase.

IN THE NEWS

Dataversity: AI Doesn’t Create Better Insights – Fixing Your Data Does

Milan Chutake, Vice President, Engineering discusses how improving data quality, automation, governance and the responsible management of data are essential to unlocking the value of AI.

Helping Regulated Enterprises Scale AI Safely

Protegrity is partnering with GIOS Technology to help regulated enterprises move AI from pilot to production without stalling out on security or compliance review. GIOS Technology partnership>

WHAT WE’RE SAYING

The AI Question Every CEO Must Answer

A candid, film-noir-inspired take on the question every CEO is quietly wrestling with: build real AI capability now, or risk becoming a distributor of someone else’s model. Three questions worth asking before you place your bet. Read More>

A Zero-Trust Framework for Safer Agentic AI

Agentic workflows push data through recursive loops, shared memory, and multiple tools, and traditional perimeter controls can’t keep up. This piece lays out a dual-gate, zero-trust architecture that keeps sensitive values protected on the way into – and out of – every LangGraph pipeline. Read More>

Ask Anything. Expose Nothing.

Natural-language querying is only safe if the data it touches stays protected the whole way through. Here’s how text-to-SQL tools can return fast, accurate answers to sensitive questions without ever exposing the underlying values. Read More>

Why Copilot Rollouts Stall

Most stalled Copilot rollouts aren’t a technology problem – they’re a readiness problem, and unclear data-governance guardrails are one of the biggest culprits. A look at the five most common failure points and how to fix each one before launch. Read More>

Meet us at an event near you

Black Hat
1–6 August | Las Vegas

Ai4
4–6 August | Las Vegas
Register: Talk to Your Data, Expose Nothing: Zero Model Exposure Analytics | 5 August at 4:05 PM

Deigo Loureda
VP Customer Solutions and Success


AI Risk Summit
11–12 August | Half Moon Bay, California


Cloudera EVOLVE Singapore
20 August | Sands Expo & Convention Center
Register: AI Workbench Demonstration And Fireside Chat | 2:20pm

Frank Thomas 
Senior Director of Alliances & Partners

Think Your AI Pipeline Is Secure? Prove It.

We’re challenging builders to try to break the walls we’ve put around sensitive data in real AI pipelines – and to build smarter, safer ones in the process.

Join the Protegrity Hackathon to put our data protection to the test, build hands-on with our AI security tools, and see what it really takes to keep enterprise knowledge safe at AI speed.

Visit protegrity.com | Follow on LinkedIn

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