profiles
SQL Audit Checklist profile
A repeatable set of SQL queries you run to find exposure signals (public grants, missing RLS, public RPC) and confirm your project is backend-only. This profile focuses on verified facts and real tradeoffs so you can choose the option that matches your constraints and workflow.
Verified facts about SQL Audit Checklist
| Fact | Value | Source |
|---|---|---|
| What it is | A set of SQL queries and checks you run against your database to find exposure risks. | https://www.postgresql.org/docs/ |
| Core dependency | Relies on Postgres catalog tables (e.g., pg_proc, pg_namespace, pg_policies) for visibility. | https://www.postgresql.org/docs/ |
| Best used with | A backend-only access pattern where clients never query tables/RPC directly. | https://aimockly.com/ |
What SQL Audit Checklist is best for
- Highly repeatable and automatable
- Makes drift between environments easier to spot
- Great foundation for CI checks after migrations
- Doesn’t require any third-party tool
Where SQL Audit Checklist can go wrong (tradeoffs)
- Requires SQL fluency to interpret correctly
- Doesn’t automatically propose application-layer fixes
- You must keep the checklist updated as your schema evolves
Feature snapshot for SQL Audit Checklist
- List tables with RLS disabled or not forced
- Detect policies that allow broad access patterns
- Find grants to anon/authenticated on sensitive tables
- Enumerate public EXECUTE access on functions
- Identify public/listable storage buckets
- Spot suspicious columns that often contain PII/secrets
- Standardize review steps across environments
- Provide a before/after verification workflow
Decision fit: when SQL Audit Checklist is the right choice
Use this section to decide quickly whether this profile matches your constraints.
- Choose SQL Audit Checklist if you value Highly repeatable and automatable and can follow through with verification.
- Avoid SQL Audit Checklist if your biggest constraint is Requires SQL fluency to interpret correctly and you can’t schedule repeatable runs.
- If you want maximum safety: pair the tool with backend-only access patterns and a drift checklist after migrations.
A good tool is not just the one with the most features — it’s the one that fits your team and gets used repeatedly.
How to use SQL Audit Checklist in a real workflow
- Run it against your project and capture the top findings across tables, Storage, and RPC.
- Pick one high-risk issue and reproduce it with a direct access test (so you can prove the fix).
- Apply a template/conversion to lock down access and move the operation to backend-only paths.
- Repeat the same direct access test and confirm it now fails (401/403).
- Re-run the tool after the fix and after the next migration to catch drift early.
Verification mindset when using SQL Audit Checklist
Security tools are only as good as your verification discipline.
- Prefer outputs that you can validate with one direct access test.
- Treat “the UI works” as irrelevant; attackers don’t use your UI.
- Keep secrets server-only and audit for accidental leakage into client bundles.
- Add a drift guard: run checks after migrations and environment changes.
Operational checklist for SQL Audit Checklist
- Run it after migrations and before major releases (same cadence every time).
- Keep outputs in a place your team can revisit (so improvements compound).
- For each finding: attach the verification step that proves the fix worked.
- Track drift: the same finding reappearing is a process issue, not a one-off mistake.
- Review Storage and RPC explicitly (they’re common blind spots).
How to pair SQL Audit Checklist with templates and conversions
Profiles help you choose. Templates and conversions help you ship.
- Use templates for concrete, copy/paste changes with verification steps.
- Use conversions when you need the full unsafe → safe transformation (including app call paths).
- Use examples to recognize patterns and avoid repeating the same exposure across your schema.
A good next action after choosing SQL Audit Checklist is to pick one finding, apply one template, verify, and then repeat the workflow after the next migration.
Timeline / milestones
No timeline milestones are listed for this profile yet.
Unique insight summary
The best security tool is the one you can run repeatedly.
If you pick SQL Audit Checklist, the highest leverage next step is to pair it with verification: direct client access should fail, and backend endpoints should be the only path for sensitive operations.
If you can’t explain the access model after the fix in one sentence, it’s likely too complex to maintain safely.
Evidence artifacts SQL Audit Checklist should help you produce
A strong security workflow creates evidence you can reuse after migrations, reviews, and incidents. Regardless of tooling, try to end each run with:
- A list of concrete resources under test (tables, buckets, functions) and their intended access model.
- At least one direct access test per surface that must fail after fixes (proof of boundary).
- A record of the change that removed exposure (grant/policy/bucket setting/EXECUTE revoke) and why.
- A drift guard you will re-run after the next migration.
If SQL Audit Checklist makes any of these hard to produce, treat that as a workflow tradeoff and consider pairing it with a checklist approach.
What to do next after reading the SQL Audit Checklist profile
- Open a comparison page to see tradeoffs vs the closest alternative.
- Open a curation collection to see ranked options for your surface (tables/Storage/RPC).
- Apply one template and run the verification checklist end-to-end.
FAQ
Is SQL Audit Checklist enough on its own?
It depends on your goal. Most teams get the best outcome by combining fast signal (scan) with repeatable verification (checklist queries) and a backend-only access posture.
How do I compare this with another option?
Use the comparison pages linked from this profile (when available), and choose based on time-to-signal, repeatability, and fix verification support.
What’s the safest next action after choosing a tool?
Run it on your project, fix one high-risk exposure (tables/storage/RPC), then verify direct client access fails and re-scan.
Next step
If you want to choose based on your real exposures, run a Mockly scan and start with the most critical issues first.