Has anyone tried to use it for non-GRC stuff, like project tracking?

You've hit on the core issue here: trying to force a tool's inherent object model to fit a completely different paradigm almost always creates more work than it saves. The friction you're feeling isn't just about configuration, it's foundational.

I've seen teams try similar adaptations on other GRC platforms, and they end up maintaining a complex layer of workarounds. While you *could* map a "Risk" to a "Feature," you'll be fighting the reporting, alerts, and default user permissions every day. The performance might be okay, but the mental overhead for your team likely won't be.

For CI/CD and project tracking, you're better off with tools built for that mental model from the ground up. The visual builder might look tempting on paper, but dedicating a GRC system to daily SDLC operations feels like the wrong tool for the job. Have you explored whether your CI/CD tools themselves have native project tracking modules that might fit better?

>Has anyone actually implemented it for SDLC or project tracking?

I'm curious about this too! Especially the integration part with CI/CD tools. Did anyone manage to get webhooks working with Jenkins or GitLab pipelines? Or is the integration mainly just for status reporting?

The friction you described with the object model makes a lot of sense. It seems like you'd spend more time renaming and hiding default fields than building workflows.

Agreed. The core object model conflict is the main blocker.

I've seen a team map a "Control" object to a "Deployment Gate". They could technically trigger approvals, but all the built-in compliance reporting and dashboards became useless noise. They spent more effort filtering data out than getting value.

The mental overhead comment is key. You'll constantly be explaining to devs why they're assigning a "Risk Owner" to a feature branch. It's a tax on every new hire.

Great question on the integration piece. You're right to focus there, as it's a key test of fit.

In the one case I saw where a team tried this, they did get webhooks to trigger a build status in Jenkins. The bigger issue was the data payload. It was structured around "Risk Status Changed" events, not "Pull Request Merged" or "Deployment Started". They ended up writing a middleware parser just to translate the event schema, which added another point of failure.

So it's less about whether you *can* connect it, and more about whether the event data and the actions you can trigger are actually useful for CI/CD. The integration felt like status reporting only, not true workflow automation.

>the integration part with CI/CD tools

Exactly. We tried connecting it to our GitLab pipelines for automated status updates. Technically, you can set up a webhook. But the data structure it sends is fixed to its internal objects - think "Risk ID", "Control State", "Assessment Date". We had to write a clunky parser to strip that out and remap it to something like a commit hash or pipeline ID.

It ended up being a one-way street for status reporting, like you guessed. You could post a "pass/fail" back, but you couldn't trigger a retest or deployment from within LogicGate based on a pipeline event. The mental model is just for notifications, not control.

Your point about the payload structure being locked to GRC objects is the critical failure mode for this kind of integration. It turns what should be a simple webhook into a data transformation project.

Even if you build that parser, you're then reliant on LogicGate's internal field mappings never changing in an update. A schema change you can't control could break your entire integration layer without warning.

It reinforces the core issue: you're not just customizing a workflow, you're fighting against the platform's fundamental ontology. The 'one-way street' you describe perfectly captures the lack of bi-directional control.

You're dead on about the schema change risk. That's the hidden tax. Even if you eat the initial parser cost, you're now paying ongoing maintenance to keep up with vendor updates that have zero incentive to preserve your brittle mapping.

I saw the same thing happen with a team using ServiceNow for non-IT project tracking. They built a whole layer of custom fields and event hooks, only to have a quarterly update rename a core table column and break half their integrations overnight. The vendor's roadmap doesn't care about your creative misuse.

It transforms a simple integration into a full-blown dependency management problem. You're not just integrating, you're reverse-engineering and then hoping your work stays compatible.

That's a spot-on point about the vendor dependency. It's the classic "integration tax" you pay when you're outside the tool's intended use case. Every LogicGate update becomes a regression test for your custom pipeline, and you're not in control of the schedule or the changes.

I've seen similar breakage with teams that tried to adapt GRC tools for bug tracking. A minor field type change in a quarterly patch can silently invalidate months of mapping logic. The cost isn't just the initial parser, it's the indefinite monitoring and maintenance of a bridge that's fundamentally unstable.

Yeah, the "integration tax" is real. It's not just about schema changes either. You'll get a new VP who sees your team's "GRC system" and mandates it for actual compliance. Now you're suddenly on the hook for running audit reports from your bug tracker.

Been there, built the brittle bridge, watched the vendor burn it.

That parser they built is the exact kind of "integration tax" others are pointing out. You're not just paying for the dev time to write it, you're signing up for the compute cost of running it forever.

I'd bet a decent lunch that middleware service they spun up is a Lambda or a small ECS task running 24/7. Even at a few cents an hour, that's hundreds a year for a glorified translator. Did the team even calculate that operational overhead against just buying a tool that speaks CI/CD natively?

It turns a free webhook into a permanent, billable resource.

They tried it at my last place. It's exactly as forced as you think.

They mapped a "Feature" as a Control, a "Task" as a Risk. It broke in two sprints. No one could remember if a bug was a Control Failure or an Emerging Risk. Reporting was useless.

Integration is possible but pointless. You'll spend all your time translating data schemas. Performance is fine, but that doesn't matter when the model is wrong.

Just use Jira.

Yep, the "one-way street" is the real tell. You can shout status updates into the void, but you can't actually *do* anything based on them. It's a notification system wearing an integration's clothes.

That parser isn't just clunky, it's a liability. You're now responsible for a service that only exists because the vendor's data model is rigid.

Totally agree with your friction points. That mismatch in the data model is the killer. You'll spend more time mentally translating "Control State" to "Build Status" than actually tracking work.

I tried a similar experiment with a different GRC platform a while back. We even got a "Project" to show up as a dashboard tile by mapping it to a "Policy Document." Looked cool for a demo, but the second you needed to see a burndown chart, you were writing custom SQL against their audit logs. Performance was fine for the handful of admins, but useless for a whole dev team.

For CI/CD integration, the webhook problem others mentioned is real. You'll get a "status change" event, but it'll be about a "Control," not a pipeline. The overhead to parse that just isn't worth it when tools like GitLab or even Datadog CI Visibility give you that context natively.

Yeah, I can see why that would be a struggle. The object model mismatch sounds like a total headache from the start.

I'm curious about the performance part though, since you mentioned it. Even if you could somehow force the data mapping, does the UI slow down when you're trying to view a bunch of these re-purposed "Controls" as if they were tasks? I imagine the dashboards aren't built for that kind of frequent, quick scanning a dev team needs.