Two PPPC Tools I Would Add After the Profile Looks Right

After writing about checking the PPPC profile before blaming the application, I realized there are several tools I reach for that deserve their own discussion.

The previous article focused on the profile itself: verifying the bundle identifier, designated code requirement, TCC service, authorization, profile scope, and making sure another PPPC profile wasn’t overriding the one I expected to apply. That’s still where I start whenever an application isn’t behaving the way I expect.

Before I ever open Jamf Pro or Microsoft Intune, though, there are two questions I want answered.

The first is, what does this application actually need?

The second is, what’s the easiest way to build and deploy a valid PPPC policy once I know the answer?

Those are separate problems, and fortunately there are several excellent tools that help solve them.

PPPC_Analyser

If I’m working with an application I’ve never deployed before, PPPC_Analyser is usually the first tool I run.

Unlike a PPPC profile editor, PPPC_Analyser doesn’t build a payload. Instead, it analyzes an application bundle and reports the information you’re likely to need when creating one. It extracts the bundle identifier, designated code requirement, Team ID, entitlements, privacy usage strings, and identifies the TCC services the application appears likely to request.

That information is valuable because many PPPC problems begin long before your MDM is involved.

It’s surprisingly common to hear that an application “needs permissions” without anyone being able to explain which permissions those actually are. Is it requesting Accessibility? AppleEvents? Screen Recording? Full Disk Access? Is the request coming from the application itself, a helper process, or another executable hidden inside the bundle?

I’d rather answer those questions before I start authoring a profile.

Running the tool is straightforward.

./pppc_analyzer.sh /Applications/zoom.us.app

or

./pppc_analyzer.sh /Applications/Microsoft\ Teams.app

Within a few seconds I have most of the information I’d otherwise spend several minutes collecting manually. That output becomes the foundation for the rest of my deployment work.

It’s important to understand what PPPC_Analyser is designed to do.

It gathers evidence.

It doesn’t decide your security policy.

If the tool reports that an application is likely to request Screen Recording, that doesn’t automatically mean I want to grant it. Apple’s PPPC model intentionally treats certain privacy services differently, and the appropriate decision still depends on the application’s purpose and my organization’s security requirements.

PPPC_Analyser shortens the discovery process. It doesn’t replace testing or administrative judgment.

MacPPPC (PPPC Builder)

The final piece of my toolkit is MacPPPC, formerly known as PPPC Builder.

If PPPC_Analyser is about discovery and Intune PPPC Utility is about authoring, MacPPPC focuses on making deployment easier.

The project includes a large catalog of predefined applications, supports building PPPC payloads for modern MDM platforms, and can even deploy profiles directly into Microsoft Intune using Microsoft Graph. For organizations managing large fleets of Macs, that can remove a tremendous amount of repetitive work from the deployment process.

Even if you don’t use the direct deployment features, it’s an excellent reference. Having a catalog of known applications and their identifiers is useful when you’re validating your own work or comparing configurations across environments.

Like the other tools, though, I don’t treat it as a substitute for understanding the application. It’s still my responsibility to review the permissions being granted and decide whether they align with the organization’s security requirements.

If You’re Managing Macs with Intune

Everything I’ve covered so far applies regardless of which MDM you’re using. Whether you’re deploying PPPC profiles with Jamf Pro, Kandji, Mosyle, Workspace ONE, Addigy, or another platform, understanding the application should always come before building the policy.

If your organization uses Microsoft Intune, there’s another project worth adding to your toolkit: Intune PPPC Utility.

The utility is designed specifically for creating and validating PPPC policies for Intune. Instead of manually building Settings Catalog entries and copying bundle identifiers, designated code requirements, and authorization settings between multiple windows, it reads much of that information directly from the application and helps generate a valid policy.

One feature I particularly appreciate is the built-in validation. Intune will happily let you create combinations of settings that don’t actually make sense or aren’t supported by Apple’s PPPC framework. Discovering those mistakes after deployment usually means another round of troubleshooting and testing. Intune PPPC Utility catches many of those problems before the policy ever reaches a Mac.

If you’re already managing macOS with Intune, it’s a tool that’s well worth keeping in your toolbox. It doesn’t replace understanding PPPC, but it makes building and validating policies considerably less error-prone.

How I Put It All Together

Regardless of which MDM I’m using, my workflow is always the same.

I start by understanding the application—not by building the PPPC profile.

Running PPPC_Analyser against the application bundle gives me the information I need to identify the application correctly and understand the privacy services it’s likely to request.

./pppc_analyzer.sh /Applications/Example.app

From there, I build the PPPC profile using the application’s actual bundle identifier, designated code requirement, and the permissions I intend to allow. Whether I’m creating that profile in Jamf Pro, Kandji, Mosyle, Workspace ONE, Addigy, or another MDM doesn’t really change the process. The policy should be based on what the application actually requires, not on trial and error.

If I’m managing Macs with Microsoft Intune, I’ll often use Intune PPPC Utility to build and validate the Settings Catalog policy before deploying it. It’s not a required part of the workflow, but it can eliminate a lot of manual work and help catch common configuration mistakes.

When I need to accelerate deployment or I’m looking for a catalog of known applications, MacPPPC is another excellent resource. Whether I’m generating a new profile, comparing identifiers, or deploying through Intune, it can save a significant amount of time.

No matter which tools I use, the final step never changes: test the deployment.

I verify that the correct profile reaches the device, confirm that the expected privacy permissions are applied, and make sure the application behaves the way I intended under the same conditions my users will experience. No tool can replace that final validation, and it’s still the best way to prove whether a PPPC issue has actually been solved.

Final Thoughts

None of these tools replace understanding how PPPC works.

A PPPC profile is still a security policy. You need to understand what the application is requesting, decide whether that request is appropriate, and validate the user experience after deployment. No utility can make those decisions for you.

What these tools do is remove unnecessary guesswork.

When I’m working with an application I’ve never deployed before, PPPC_Analyser helps me understand its identity before I start building a profile.

If I’m managing Macs with Microsoft Intune, Intune PPPC Utility makes creating and validating a Settings Catalog policy considerably easier. If you’re using another MDM, that step will naturally look different.

MacPPPC sits further down the workflow by helping generate and deploy PPPC payloads, particularly in Intune environments, while also providing a useful catalog of known applications and identifiers.

The important part isn’t which tool you use. It’s understanding where each one fits.

Start by learning what the application actually needs. Build a policy based on evidence instead of assumptions. Then test it on a Mac that reflects your production deployment before rolling it out more broadly.

That’s still the same lesson from my previous article: don’t blame the application until you’ve proven the profile.

These tools simply make it easier to gather the information you need before making that decision.

Sources

AI Usage Transparency Report

AI Era · Written during widespread use of AI tools

AI Signal Composition

Rep Tone Struct List Instr
Repetition: 65%
Tone: 52%
Structure: 59%
List: 14%
Instructional: 18%
Emoji: 0%

Score: 0.3 · Moderate AI Influence

Summary

Two tools for PPPC troubleshooting: PPPC_Analyser and QuickJamfDeploy.

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