Would an AI agent that detects & remediates secrets across Bitbucket, Jira, & Confluence be useful?

[johnsbucket]

Hi everyone,

I’m working on validating an idea for a Rovo-style agent that could help detect and remediate accidentally exposed secrets (like API keys or credentials) across Atlassian products, specifically Bitbucket, Jira, and Confluence.

The agent would:

• Detect secrets in commits, Confluence pages, attachments, and Jira ticket bodies

• Validate whether the secrets are active (e.g., test against API endpoints)

• Suggest remediation, like:

  • Auto-generating a PR to remove/replace secrets in code

  • Redacting secrets from Confluence while preserving version history

  • Flagging attachments or ticket fields with exposed data

• Require manual review before any changes are applied

Would this be useful in your org?

Would you trust an agent like this with remediation suggestions?

Any tools you currently use for this?

Open to all feedback, trying to understand real-world need before building this as a Forge or Rovo agent.

[ashu patel]

Hi @johnsbucket,

This sounds like a highly relevant and potentially very useful agent, especially in environments where security and compliance are top priorities. The accidental exposure of secrets is a persistent risk across all collaboration and code platforms—Bitbucket, Confluence, and Jira included—and having a proactive tool to detect and help remediate this is a compelling use case.

Here’s some feedback based on what you’ve proposed:

Usefulness

Yes, such an agent would be valuable in many organizations—especially:

• Security-conscious teams (e.g., financial, healthcare, SaaS) where even internal exposure of secrets is considered a risk.

• Enterprises with multiple contributors where secrets can be accidentally committed or documented outside secure channels.

• Teams already using tools like GitGuardian, TruffleHog, or Gitleaks, who would benefit from extending detection to Jira/Confluence.

Features that stand out

• Cross-product coverage (Bitbucket, Jira, Confluence) is key—many tools focus on Git repos only.

• Validation of active secrets adds significant value over basic regex detection.

• Manual review before remediation is essential—most teams wouldn’t fully trust automated removal or redaction without visibility.

Concerns/Considerations

• Granular permission controls will be crucial (e.g., ensuring the agent only scans permitted spaces or repos).

• Audit logs and transparent reporting would help build trust.

• In Confluence/Jira, handling version history and preserving context during redaction would be important to avoid breaking documentation flow.

Trust level

We’d likely trust an agent that:

• Is read-only by default with optional remediation actions gated by approvals.

• Offers detailed reports of what it found and why it's flagged as a secret.

• Can be integrated into CI/CD pipelines or workspace rules as a passive scanner first.

Tools currently used

Some teams use GitGuardian, TruffleHog, or custom scripts—but those typically don’t cover Jira or Confluence, which is where your solution really differentiates itself.

This idea feels very much aligned with the direction of AI-enhanced DevSecOps tooling. Happy to test a beta version if you're building this as a Forge or Rovo agent.

Best,
Ashu Patel
Atlassian Community Rising Star