Hey folks! 👋 I've been knee-deep in audit and compliance tooling lately, helping my team evaluate platforms as we scale. We're a SaaS company, so things like SOC 2, ISO 27001, and internal dev audits are constantly on our radar.
We've been trialing both **AuditBoard** and **Galvanize (now called HighBond)**. I know both are big players, but I'm looking for real-world experiences from other tech companies. The sales demos are one thing, but I want to know how they hold up day-to-day.
Here’s a quick snapshot of our initial pros/cons:
**AuditBoard**
* **Liked:** The UX feels very intuitive, almost like a modern project management tool. The integration with GRC workflows seems smooth.
* **Hesitations:** Wondering about its depth for very technical, engineering-focused audits (like tracking infrastructure changes in AWS/Azure). Also, how flexible is the reporting for custom metrics?
**Galvanize (HighBond)**
* **Liked:** The modules (Risk, Audit, Compliance) feel powerful and very comprehensive. The data analysis capabilities seem strong.
* **Hesitations:** The interface feels a bit more "enterprise-heavy." Concerned about the learning curve for our engineering teams who just need to provide evidence, not live in the tool.
My main questions for the community:
1. **Integration:** Has anyone successfully connected these to CI/CD pipelines (like GitHub Actions) or observability tools (Datadog, Splunk) to pull evidence automatically?
2. **Daily Use:** How painful is it for your developers to submit audit evidence? Is it a chore or a relatively smooth process?
3. **The Nitty-Gritty:** Any hidden costs, performance issues with large evidence sets, or deal-breakers we should know about?
Would love to see any screenshots of your dashboard setups or automation workflows if you're willing to share! Especially interested in how you bridge the gap between the "audit world" and the "engineering world."
Dashboards or it didn't happen.
Hey user319! I'm Dave, a senior platform engineer at a fintech SaaS company of about 300 people. We run our infra on AWS/K8s and I've personally been the point person for implementing and living with our GRC platform for the last three years, managing our SOC 2 Type II, ISO 27001, and a bunch of internal dev compliance.
We actually went through this exact evaluation two years back. Here's a breakdown from our trenches:
* **Initial Setup & Engineering Buy-in:** AuditBoard feels like a Jira for compliance. We had our security team and non-technical auditors up and running in under two weeks. For engineering, linking evidence was as easy as pasting a GitHub PR link or a screenshot. Galvanize felt like we were installing an SAP module. It took us a solid 6-8 weeks just to get the Risk and Compliance modules configured and tied to our Jira and AD. The learning curve for devs was steep, and they pushed back hard.
* **Technical Audit Depth:** This was our deciding factor. AuditBoard is great for questionnaire workflows and document collection, but it really just *stores* evidence. When we needed to audit, say, IAM role changes across 3 AWS accounts over a quarter, we had to manually pull CloudTrail logs and upload CSVs. Galvanize's Data Analytics module (ACL) let us build direct connectors to our cloud infra and databases. We could run continuous checks (e.g., "flag any S3 bucket that becomes publicly readable") and pipe those results directly into audit findings. For a tech company, this automation was a game-changer.
* **Real Pricing & Hidden Costs:** AuditBoard was quoted as a simple per-user SaaS, around $2500-$3500 per user/year for the tier we needed (Optic). Galvanize's quote was more opaque - a hefty platform fee plus module costs. It ended up being roughly 2.5x the cost of AuditBoard. The hidden cost was in professional services. Galvanize strongly recommended (basically required) their implementation consultants at $200+/hour for 40+ hours. We negotiated that down, but it was a real added expense.
* **Support & Vendor Lock-in:** AuditBoard support is fast for simple "how-to" questions. For complex, technical integration questions, they often pointed us to their API docs (which are decent). Galvanize's support is slow but incredibly deep - when you get an engineer on a call, they *know* the product inside and out. However, the flip side is massive lock-in. Once you build those custom data feeds and workflows in HighBond, migrating away would be a multi-year project.
If your audits are heavily focused on manual evidence gathering, policy reviews, and straightforward SOC 2 controls, I'd recommend AuditBoard. It's faster and cheaper. If your primary need is continuous, automated, technical control validation across your engineering stack (cloud configs, code commits, DB access), then Galvanize is the more powerful choice, but be ready for the cost and complexity.
To make the call clean, tell us: 1) What percentage of your controls are automated vs. manual evidence review, and 2) Is your audit team technical enough to build and maintain data connectors, or would you need to hire for that?
Dashboards or it didn't happen.
"Modern project management tool" is the sales pitch, sure. But wait until you need to track something specific like a Terraform module change across ten AWS accounts. That's when the "intuitive" UI starts feeling like a straightjacket. Their reporting engine isn't built for custom engineering metrics, it's built for pre-packaged compliance frameworks.
Galvanize's learning curve is real, but that's because it's actually a data platform. AuditBoard is a workflow app. If your audits are just checklists and file uploads, go with the nice UI. If you ever need to analyze control failures across actual technical systems, you'll be paying for both.
Your stack is too complicated.
Your hesitations are exactly where I think the real decision lies. I work with ERP and inventory systems, where tracking a single change across platforms can become a mess, so I've been looking at these tools from a data integrity angle.
Your point about AuditBoard's reporting for custom metrics is valid. In our trials, pulling a simple report on, say, vendor onboarding exceptions that crossed system boundaries was a manual export and spreadsheet job. It's great for the audit team's workflow, but if your engineering data doesn't fit neatly into their pre-built boxes, you'll be building workarounds.
That "enterprise-heavy" feel in Galvanize is the trade-off for that data analysis power. It reminds me of implementing a complex WMS module. The learning curve is steep because the relationships between risks, controls, and evidence are built to be traceable at scale, not just for a single audit cycle. For a tech company, is that long-term traceability worth the initial slowdown in getting engineers to log in?
Yeah that "engineering-focused audits" point is key. We're also a SaaS shop and tried both.
For tracking AWS changes, AuditBoard got painful fast. Trying to link Terraform state or CloudTrail events across environments felt like forcing a square peg. You end up with a ton of manual screenshots instead of live links. Does their API even handle that kind of data?
Galvanize's interface is definitely heavier, but we found our devs actually used it once we set up a few direct data connectors. It can pull from our monitoring stack directly. The initial setup is a beast though.
Curious, are your audits mostly checklist-driven right now, or are you trying to automate evidence collection from your actual systems? That seems to be the real fork in the road.
Containers are magic, but I want to know how the magic works.
Your hesitation on the depth for engineering-focused audits is exactly right. I moved our team off AuditBoard last year after we hit a wall trying to automate evidence pulls from our CI/CD pipeline and GitHub. It's fantastic for organizing the *process*, but for actual *technical evidence*, you're stuck with manual screenshots or those static file uploads. The reporting also falls apart if you need to correlate a failed control with a specific deployment window or spike in error logs.
Galvanize is a beast to configure, I won't lie. But once we connected it to Datadog and our cloud APIs, it started pulling live data. Our engineers hated it at first, but now they appreciate not having to manually prove every infrastructure change. It really depends if your team is ready to treat compliance data like product data. If you're just checklist-driven today, AuditBoard will feel amazing until you outgrow it in 18 months.