POST /signupVerifyClean device, but linked to 8 signups
- Real browser, no automation
- Fingerprint rotated 3 times
- Linked to 8 new accounts
Comparison
Kasada is a bot defense platform built to run with no rules to manage: invisible client-side challenges, server-side detection and integrations at the CDN edge, as a proxy or through a backend API. Kavra takes a different stance: every visit gets an explained assessment, and your backend decides whether to allow, verify or block.
POST /signupVerifyClean device, but linked to 8 signups
Kasada's pitch is defense that just works: its own site talks about eliminating management, rule updates and decisions to make. For a security team that wants automated attacks to disappear without tuning, that is a strong offer.
Fraud and risk teams often want the opposite trade. They want to see why a visitor was flagged, keep the final decision in their own product logic, and treat a borderline signup differently from a borderline withdrawal. They also care about questions that are about people, not only bots: is this new account the same person as eight others, and is this login from a device the account has never used? That is the space where Kavra is built to help, with multi-accounting, account takeover and bonus abuse in mind.
Kasada describes an architecture of invisible client-side challenges, server-side detection and research into how attackers evade detection. Client-side sensors collect traces of automation, client data is checked for tampering, and a proof of execution step runs dynamic code inside an obfuscated virtual machine so that attackers must run real browsers and devices. Kasada says it does not use CAPTCHAs; its challenges are invisible to users.
For integration, Kasada offers three server-side options: Edge + API with NPM packages for CDN edge compute platforms, a Proxy that needs only a routing change, and Backend + API for any application backend. Web and mobile SDKs collect device data, and defenses can be updated without shipping a new app version. Beyond bot defense, Kasada lists Account Intelligence, which links devices, accounts, emails and behavior to expose one operator behind many identities, AI Agent Trust with per-agent permissions by HTTP method, and KasadaIQ for Fraud, an analyst-led threat intelligence service that monitors attacker communities.
Facts about Kasada come from its public website listed in the sources below.
| Kavra | Kasada | |
|---|---|---|
| Integration | One script plus one server API call; iOS and Android SDKs | Edge + API, Proxy, or Backend + API, plus web and mobile SDKs |
| Who decides | Your backend, using Kavra's recommendation | Kasada classifies bad bots; response type is configurable |
| Rules to manage | Policy presets (cautious, balanced, strict) plus your own logic | Positioned as no rules or management needed |
| Output | Plain-language headline, findings, risk by domain, recommendation | Bot classification; Fraud API response in Account Intelligence |
| Visible challenge | None: checks run in the background, step-up is your choice | No CAPTCHAs; challenges are invisible |
| Account linking | Device and identity linking, login vs account history | Account Intelligence links devices, accounts, emails and behavior |
| Fingerprint rotation | Kept as one actor with N rotations | Not publicly documented |
| Proxy intelligence | Own measurement of residential and mobile proxy exits, plus 30+ feeds | Not publicly documented in detail |
| AI agents | Verified via signatures and operators' IP ranges; you allow, check or block | AI Agent Trust: verification strength, permissions by HTTP method |
| Threat intelligence service | Not offered as a separate service | KasadaIQ for Fraud with dedicated analysts |
Each assessment says what gave the visitor away, so fraud, support and product teams can act on it and explain it.
A device that keeps changing its fingerprint stays one actor with N rotations. See fingerprint rotation.
Antidetect browsers, emulators and device farms are exposed where the layers they fake disagree.
Kavra measures real exit IPs of commercial residential and mobile proxy networks, on top of public reputation feeds.
It recommends allow, verify or block. You choose where a borderline case gets a step-up instead of a refusal.
Legal basis applied per visitor region, consent manager respected, opaque visitor IDs and strict tenant isolation.
Kasada may suit you better than Kavra in these cases:
Kasada also offers account linking through Account Intelligence, so the question is less whether linking exists and more how you want to receive it: as a managed defense, or as an explained verdict your team reads and acts on.
List the flows where money leaks: signups that farm bonuses, logins that lead to takeover, checkouts with stolen cards.
One script and one API call. Nothing is blocked; first results arrive the same day.
Check whether each verdict gives your analysts something they can act on and defend.
Start from a preset and write the allow, verify and block logic in your code.
Kasada and KasadaIQ are trademarks of Kasada Pty Ltd. This comparison is based on public information as of September 2026 and may change. Kavra Lab is not affiliated with Kasada.
How Kavra helps
Kavra analyzes 3,000+ data points on every visit and returns a decision your team can read and act on.
Script under 64 KB, async, never blocks rendering. No routing or DNS change.
A plain-language headline, the findings behind it and a recommended action for every assessment.
One actor behind many accounts shows up as one cluster, even when fingerprints rotate.
See every verdict on real traffic before you block anything.
Kavra recommends; your backend allows, verifies or blocks.
FAQ
Something else? Talk to our team.
Kasada is a bot defense company that protects websites, mobile apps and APIs from automated attacks such as credential stuffing, scraping, fake account creation and checkout fraud. It combines invisible client-side challenges, server-side detection and research into attacker tools, and it also offers Account Intelligence, AI Agent Trust and the KasadaIQ for Fraud intelligence service.
No. Kasada states that it does not use CAPTCHAs and that its challenges are invisible to users. Kavra also avoids puzzles: every check runs in the background with no required action from the visitor, and any step-up is decided by your own rules.
Kasada lists three server-side options: NPM packages for CDN edge compute platforms, a proxy that needs only a routing change, and an API you call from any backend. Web and mobile SDKs collect device data. Kavra needs one script on your pages and one API call from your backend, with optional iOS and Android SDKs.
Yes. Kavra does not sit in the request path, so it can run next to edge or proxy bot defense. A common split is to keep automated traffic filtered upstream and use Kavra on signup, login, promo claim and checkout, where explained verdicts and account history drive the decision.
Run Kavra on your own traffic in observe-only mode. No risk to your customers, and a clear report of the fraud it finds.