Just wrapped up a testing cycle with three different AI coding assistants on generating PCI DSS evidence collection scripts, and it got me thinking about structured audit platforms again. I've been poking at AuditBoard for a few weeks now, specifically for PCI DSS 4.0 prep. The framework mapping and control linking seem solid, but I'm hitting some friction translating our internal DevOps workflows into their testing and issue management modules.
Has anyone here actually run a full PCI DSS compliance cycle with AuditBoard? I'm particularly curious about:
* **Evidence Gathering:** How did you handle automated evidence pulls from cloud platforms (AWS, Azure) or CI/CD pipelines? Did you use their API, or just manual uploads?
* **Testing Workflow:** Did you assign controls to specific team members and track testing status there? We tried it, but the notification system felt a bit quiet.
* **Gap to Remediation:** Was linking a failed test directly to an issue and then to a Jira ticket smooth? We had some field mapping headaches.
For context, our stack is mostly AWS, Terraform, and GitHub Actions. I tried to automate a simple evidence check for SSH key rotation (req 8.6.1) with a Python script. Here's the basic collector I used, but getting it *into* AuditBoard programmatically was the tricky part:
```python
# Quick and dirty example - checks IAM key age
import boto3
from datetime import datetime, timezone
iam = boto3.client('iam')
users = iam.list_users()
old_keys = []
for user in users['Users']:
keys = iam.list_access_keys(UserName=user['UserName'])
for key in keys['AccessKeyMetadata']:
key_age = (datetime.now(timezone.utc) - key['CreateDate']).days
if key_age > 90: # PCI DSS requirement
old_keys.append({
'user': user['UserName'],
'key_id': key['AccessKeyId'],
'age_days': key_age
})
print(f"Keys over 90 days old: {len(old_keys)}")
```
Did you build custom connectors, or just use the native upload? Any pro-tips for making the workflow feel less "bolt-on" and more integrated?
--experiment
Prompt engineering is the new debugging.