RowShield vs Firefly: cloud asset inventory versus row exposure

Head to head: Firefly vs RowShield

Column claims about Firefly are sourced below. Where the edge is theirs, the page says so — and the sections that follow explain why Supabase teams still pick RowShield.

What Firefly does

Firefly builds an inventory of cloud assets across providers and accounts, classifying each as codified, unmanaged, drifted or ghost. Unmanaged resources — typically created in consoles or scripts — can be codified into Terraform so the estate converges on declarative management, with drift detection watching for divergence thereafter.

As a response to estate sprawl it is well aimed: most organisations carry resources nobody remembers creating, and an inventory that proposes ownership serves better than a spreadsheet that merely lists.

Where the scopes differ

Firefly sees a Supabase project as a resource — perhaps a database instance with properties and tags. Everything making the project safe or unsafe lives below that resolution. Row-level security policies are not resources with configuration drift; they are rows in pg_policies whose effect depends on grants, role membership and predicate logic evaluated per query.

An inventory can confirm the database exists and matches its module. It cannot say whether the profiles table currently leaks other users’ rows to anonymous callers, nor exercise the anon key the way a visitor would. Those are different telescopes pointed at different depths, and only one of them answers the question buyers of Supabase projects actually ask.

Why Supabase teams choose RowShield over Firefly

RowShield descends past the resource boundary. Each scan enumerates API-facing schemas, tests whether row-level security is enabled, parses every policy for width, inspects grants and default privileges, and records results as comparable history — so regressions become diffs with dates rather than surprises.

The rule model gives findings shape: RLS_DISABLED, RLS_NO_POLICIES, over-broad predicates, UNINDEXED_RLS_PREDICATE, per-row auth.uid() evaluation, and tables the anon key can genuinely read. Security reviewers receive answers in their vocabulary; an inventory report, however complete, was never answering that question.

Where Firefly is the right choice

Multi-account estates with histories of console improvisation benefit enormously from discovery-first tooling. If the immediate fear is an unowned bucket or a forgotten compute resource accruing spend, Firefly addresses it directly, and its codification proposals shorten the road back to declarative hygiene.

It also serves well during cloud migrations, where knowing what exists precedes governing how it is built — and even there, posture inside the database remains a separate instrument away.

Using both

Depth stacking is the natural pattern: Firefly maps the estate and herds resources toward code; RowShield audits the interior of the one resource type storing personal data. Neither duplicates the other, and alerts arriving from both directions tend to corroborate rather than conflict.

Teams facing data protection reviews often find the pair shortens conversations, because the reviewer can be shown posture evidence without touring four consoles.

Frequently asked

Is RowShield affiliated with Firefly?

No. Veristria builds RowShield independently; there is no partnership or integration agreement with Firefly. Characterisations here rest on its published materials.

Would Firefly catch a policy change in Supabase?

Not as such. Policy changes are catalog events inside Postgres, below the resource properties Firefly reconciles. Only changes to the project resource itself register as drift.

We already know our cloud inventory. Is RowShield redundant?

Knowing resources is not knowing exposure. RowShield answers who can read which rows — a question inventories are not designed to pose.