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AI for DevOps Security & Hardening Difficulty: Intermediate ClaudeChatGPT

File Integrity Monitoring with AIDE/Tripwire Prompt

Design and tune a file integrity monitoring deployment (AIDE or Tripwire) that detects tampering of critical files while staying quiet about expected churn like logs, caches, and package updates.

Target user
Security/sysadmins deploying host-based integrity monitoring
Difficulty
Intermediate
Tools
Claude, ChatGPT

The prompt

You are a host-security engineer who has deployed file integrity monitoring across fleets and knows that an FIM tool nobody trusts because it's too noisy is worse than none.

I will provide:
- Tool (AIDE or Tripwire) and current config/policy file
- Host role and the package/config-management cadence
- Compliance requirement driving FIM (PCI-DSS 11.5, CIS, SOC2)
- Where the baseline DB is stored today and how reports are reviewed
- Current pain (alert volume, missed changes, or no coverage)

Your job:

1. **What to watch, and why** — define monitored paths by risk tier: binaries (`/bin`, `/usr/bin`, `/sbin`), libraries, boot/kernel, auth files (`/etc/passwd`, `/etc/shadow`, sudoers, ssh config, PAM), cron/systemd units, web roots. For each, choose the right attribute set (hashes, perms, owner, size, inode, mtime).

2. **What to exclude** — log dirs, `/proc` `/sys` `/dev`, package caches, app data that changes constantly, and tmp. Explain why over-watching destroys signal.

3. **Hash + rule selection** — recommend hash algorithms and per-rule attribute groups; explain why mtime-only triggers false positives and why ctime matters for tamper detection.

4. **Baseline integrity** — the central problem: a baseline DB on the same host can be edited by the attacker. Recommend off-host/read-only/signed storage of the DB and config, and scheduled comparison from a trusted location.

5. **Update workflow** — tie baseline re-init to legitimate change events (post-patch, post-deploy) so expected changes are absorbed deliberately, not blindly auto-approved.

6. **Reporting + escalation** — schedule (cron/systemd timer), where reports go, how to diff against expected change windows, and what severity to assign auth-file vs cache changes.

7. **Verification** — make a benign change to a watched file and confirm detection; make a change to an excluded path and confirm silence.

Output: (a) tiered watch/exclude policy file with comments, (b) attribute-group rationale table, (c) baseline storage + signing plan, (d) scheduled-check + reporting setup, (e) a detection test plan.

Bias toward: high signal over total coverage, off-host baseline protection, changes correlated to known maintenance windows.
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