Comparison

Castle competitors and alternatives

Alex MugoFounder, Kaidn
3 min readRevised
Five alternatives to Castle for account security, and where the line sits between protecting logins and scoring the whole funnel.

Choose Castle instead when

  • checkAccount takeover is the specific problem. It is what they are built around, and a specialist beats a generalist at the thing they specialise in.
  • checkYou need in-session risk, not just a decision at the door. Continuous scoring through a session is a different architecture from event scoring.
  • checkYou want the response tooling as well as the score: challenges, step-up, approve and deny flows wired into the login path.
  • checkYour losses are in credential stuffing against existing accounts rather than in what new accounts do after they are created.

The alternatives, briefly

Kaidn

this is us

Scores any event in the funnel, with signup and payout weighted as heavily as login. Every verdict returns the checks that fired and their weights. Stronger on what accounts do after creation, weaker on in-session and challenge tooling.

Digital footprint enrichment on email and phone, wrapped in a broader fraud platform. Good breadth, mid-market pricing, more product than a login guard.

Auth0 Attack Protection

site ↗

If your identity provider is already Auth0, breached-password detection, brute-force protection and bot detection are available inside it. Not as deep, and there is no integration to build.

Arkose Labs

site ↗

Attacks the economics rather than the identity: challenges that make automated attempts expensive at scale. Enterprise-priced, and a genuinely different theory of the problem.

Stytch

site ↗

Auth platform with device fingerprinting and bot detection built in. Sensible when you are choosing authentication and fraud tooling at the same time rather than bolting one onto the other.

Kaidn compared with Castle

Account security for developers: registration abuse, credential stuffing, account takeover and session risk, driven by device and behavioural signals.

KaidnCastle
Where it sitsAny event: signup, login, payout, redemption.Primarily the account: registration, login, session.
Fraud it is built forAbuse by accounts that are working as designed: farming, multi-accounting, bonus abuse.Abuse of accounts: takeover, credential stuffing, session hijack.
In-session scoringNo. We score discrete events.Yes, continuous through a session.
Response toolingA verdict. Enforcement is yours to implement.Challenge, step-up and deny flows included.
Why a verdict happenedChecks and weights on every response.Risk signals surfaced in their console.
Free tier10,000 scored events a month.A free developer tier, with paid plans above it.

Castle and Kaidn get compared because we both sell risk scoring to engineers rather than to a fraud department, and because we both think a score you cannot interrogate is not much use. On the question of who the buyer is, we agree.

We are pointed at different halves of the problem, and the halves are further apart than they look.

Abuse of accounts, abuse by accounts#

Castle's centre of gravity is protecting accounts that already exist and belong to real people. The attacker is an outsider: they have a credential list, or a session token, and the job is to stop them getting in.

Our centre of gravity is accounts that were created by exactly the person using them, for a purpose you did not intend. Nobody is breaking in. The account is doing precisely what an account is supposed to do, forty times, from forty registrations, and converging on one payout destination.

Those need different signals. Account takeover is caught by a change: an unfamiliar device, an impossible location, a login pattern that breaks with history. Farming has no history to break, so it is caught by relationships between accounts instead of anomalies within one.

Where each of us is weaker#

They do not have a cross-operator view, and for takeover it matters much less, because the signal is internal to the account's own past.

We do not do in-session scoring, and we do not ship challenge or step-up flows. We return a verdict and you decide what to do with it. If you want a product that both detects and handles the login interaction, that is genuinely theirs and not ours.

Running both is reasonable#

More teams than you might expect should do this, and it is not a fudge. Login protection and funnel abuse are separate loss centres with separate signals, and buying one product for both usually means one of them is being served badly.

If you have to pick one, the question is where the money actually went last quarter. If it left through compromised accounts, buy theirs. If it left through accounts that were never real in the first place, that is us.

The two shapes, side by side#

Anomaly detection and relational detection read differently in code, which is the clearest way to see why one product rarely covers both.

Takeover is a break with an account's own history, so the question is always "compared to what this account normally does":

login: is this a break with history?
// the comparison is INTERNAL: this account's own past
const risky =
  device.id !== account.lastKnownDevice &&
  asn !== account.usualAsn &&
  hoursSince(account.lastLogin) < impossibleTravelThreshold(distanceKm);

Farming has no history to break, because every account is new. The question is "compared to the other accounts", and no amount of per-account state answers it:

signup: what else does this connect to?
const { verdict, reasons, device } = await kaidn.score({
  event: "signup",
  user_id: user.id,
  ip,
  email: user.email,
  device_id: fingerprint,
});

// device_reuse and account_count are statements about OTHER accounts, which is
// information a single account's own record cannot contain.
if (reasons.includes("device_reuse")) {
  log(`${device.account_count} accounts on this device, ${device.account_count_same_network} on this network`);
}

That is the whole argument on this page compressed into two snippets. The first needs the account's past; the second needs everybody else's present.

Running both, concretely#

Two calls on two different events, and no conflict between them:

login goes to one, signup and payout to the other
app.post("/login", async (req, res) => {
  const risk = await castle.risk({ event: "$login", user: req.user, context });
  if (risk.policy.action === "challenge") return challenge(res);
  return res.json(await session(req.user));
});

app.post("/payout", async (req, res) => {
  const { verdict, reason_text } = await kaidn.score({
    event: "cashout",
    user_id: req.user.id,
    ip: req.ip,
    email: req.user.email,
    device_id: req.body.kaidn_device_id,
  });
  if (verdict === "block") return res.status(403).json({ error: reason_text });
  return res.json(await payout(req.user));
});

Where we would send you elsewhere#

If you are already on Auth0 or Stytch, look at what your identity provider includes before buying anything, because a good-enough feature you do not have to integrate often beats a better one you do. And if you are being attacked at a scale where the economics of automation are the problem, Arkose is a different and sometimes better answer than detection.

Frequently asked questions

Is Castle a competitor to Kaidn?

Only partly. Both sell risk scoring to engineers rather than to a fraud department, and both take the view that a score you cannot interrogate is not much use. But Castle is pointed at abuse of accounts that already exist and belong to real people, and Kaidn is pointed at accounts created by exactly the person using them for a purpose you did not intend. Those need different signals, and a lot of teams should run both.

Does Kaidn do account takeover detection?

It scores login events and will fire on device, network and velocity anomalies, but takeover is not what it is built around and Castle is better at it. Takeover is caught by a break with an account's own history, and Castle's in-session model and step-up flows are built for exactly that. Kaidn returns a verdict and leaves the login interaction to you.

Does Kaidn ship challenge or step-up flows?

No. Kaidn returns allow, review or block and you decide what to do with it. If you want a product that both detects the risky login and handles the interaction (a challenge, an email confirm, a step-up), that is genuinely Castle's and not Kaidn's.

How do I decide between them with one budget?

Ask where the money actually went last quarter. If it left through compromised accounts belonging to real users, buy Castle. If it left through accounts that were never real in the first place, that is Kaidn. Buying one product for both loss centres usually means one of them is being served badly.

Do I need either if I use Auth0 or Stytch?

Check what your identity provider already includes before buying anything. A good-enough feature you do not have to integrate frequently beats a better one you do. That advice cuts against both products on this page, and it is still the right advice.

Sources, checked 23 August 2026

Everything stated here about other products comes from their public documentation, linked above and checked on the date shown. We have not run every tool ourselves, and pricing and features change. If something is out of date or wrong, tell us and we will correct it.

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