Kavra LabPOST /loginBlockedAutomation replaying stolen passwords
- Headless browser, spoofed device
- Datacenter IP range
- New device for this account
Risk93
Comparison
HUMAN Security alternative: one call, an explained verdict
HUMAN Security protects applications with a browser sensor, an enforcer installed on your CDN, load balancer or origin, and a cloud detector that scores each interaction from 0 to 100. Kavra takes a lighter route: one script and one API call return an explained assessment with account linking, and your backend decides what to do.
- Kavra approach
- Script plus API call, explained verdict to your backend
- HUMAN approach
- Sensor, enforcer and cloud detector with a risk score
- Visitor friction
- Kavra: background checks only. HUMAN: press and hold challenge
- Best for
- Kavra: account-level fraud. HUMAN: broad suite incl. ads
Why teams look for a HUMAN Security alternative
HUMAN Security covers a wide area: application bot defense, account fraud, compromised credentials, client-side code and a separate advertising fraud product line. Teams comparing it with other tools often want something narrower and faster to adopt: a clear answer on each visit to signup, login, promo or checkout, with the reasons attached.
The other common question is ownership. In HUMAN's model the enforcer applies a decision based on a score. Some fraud teams prefer to receive the evidence and decide in their own code, where they also know the order value, the account age and the promotion at stake. That is the gap Kavra is built for, especially for multi-accounting and credential stuffing.
How HUMAN Security works
HUMAN's documentation describes three parts. The Sensor is a JavaScript snippet that collects signals about users, devices, behavior and network activity in the browser. The Detector is a cloud engine that uses machine learning and behavioral analytics to assign a risk score from 0 to 100. The Enforcer is a lightweight SDK, usually installed on your CDN, load balancer or origin, that allows or blocks each request based on that score and your policies. HUMAN lists over forty pre-built integrations, including Akamai, Cloudflare, Fastly, AWS, Azure Front Door, Nginx and F5, plus iOS and Android SDKs.
On top of this sit several products: Sightline Cyberfraud Defense and Bot Defender for automated attacks and attack investigation, Account Defender for compromised and fake accounts after login, Credential Intelligence for blocking known compromised credentials, Code Defender for client-side script risks, and AgenticTrust for AI agent visibility with High, Medium and Low trust levels. When a challenge is needed, HUMAN uses its HUMAN Challenge, a press and hold interaction, and a two-second Precheck interstitial for first-time visitors on sensitive routes.
Kavra vs HUMAN Security at a glance
Facts about HUMAN come from its public documentation listed in the sources below.
| Kavra | HUMAN Security | |
|---|---|---|
| Integration | One script plus one server API call; iOS and Android SDKs | Sensor script plus an enforcer on CDN, load balancer or origin; mobile SDKs |
| Who enforces | Your backend, using Kavra's recommendation | The enforcer allows or blocks based on score and policy |
| Output | Plain-language headline, findings, risk by domain, recommendation | Risk score 0 to 100; investigation dashboards and attack profiles |
| Visible challenge | None: checks run in the background, step-up is your choice | HUMAN Challenge (press and hold); Precheck interstitial |
| Account fraud | Device and identity linking, multi-accounting, login vs account history | Account Defender for compromised and fake accounts |
| 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 | AgenticTrust with trust levels and per-agent permissions |
| Other products | Bot and fraud detection only | Credential Intelligence, Code Defender, Advertising Protection |
Where Kavra's approach differs in practice
Reasons, not only a number
Each assessment names what gave the visitor away and rates risk by domain: automation, impersonation, network, tampering and abuse.
Accounts linked to one actor
Returning devices are recognized across visits, so twenty signups from one operator show up as one cluster at signup time.
Rotation stays one actor
A device that keeps changing its fingerprint is tracked as one actor with N rotations, not N new visitors.
Spoofed environments
Antidetect browsers, emulators and virtual machines are exposed by contradictions between layers.
Own proxy intelligence
Kavra measures real exit IPs of commercial residential and mobile proxy networks, on top of public reputation feeds.
GDPR per region
Legal basis applied per visitor region, no names or emails required, opaque visitor IDs and strict tenant isolation.
Score-based enforcement vs an explained verdict
Kavra
- Your code decides, with full evidence in hand
- One script and one API call, no enforcer to host
- Multi-accounting and account linking built in
- Observe-only mode before anything is blocked
HUMAN Security
- Enforcer applies policy on a 0 to 100 score
- Sensor, enforcer and detector deployed together
- Separate products for accounts, credentials and code
- Advertising fraud covered by its own product line
When HUMAN Security may be the better fit
HUMAN may suit you better than Kavra in these cases:
- You run a large advertising or ad-tech program and need ad fraud protection. HUMAN has a dedicated Advertising Protection product line; Kavra does not cover ad fraud.
- You want client-side script monitoring for supply chain and skimming risks, which HUMAN documents in Code Defender.
- You want logins checked against a collection of known compromised credentials, which HUMAN documents in Credential Intelligence.
- You prefer enforcement at the CDN or load balancer, handled by the vendor's enforcer rather than your own code.
- Your procurement requires a vendor with a long track record and established enterprise references.
If your losses come from repeat accounts, bonus abuse and account takeover, and you want an explained verdict your team can act on in code, test Kavra on those flows first.
How to run a fair side-by-side test
A two-week test on real traffic tells you more than any feature list.
- 01
Pick three flows
Choose the actions where fraud costs money: for example signup, login and promo claim or checkout.
- 02
Add Kavra in observe-only mode
One script and one API call. Nothing is blocked, and your current protection keeps running unchanged.
- 03
Compare on the same sessions
For sessions both tools saw, check which ones each flagged, and whether the reasons match what your analysts find on review.
- 04
Count linked accounts
Look at clusters Kavra links to one actor. Ask whether those accounts claimed the same bonus, card or payout.
- 05
Decide with your own rules
Set allow, verify and block thresholds in your code, starting from the balanced preset.
Sources
- HUMAN docs: Applications Protection overview
- HUMAN docs: About Enforcers
- HUMAN docs: Bot Defender overview
- HUMAN docs: About Sightline Cyberfraud Defense
- HUMAN docs: Account Defender overview
- HUMAN docs: Credential Intelligence overview
- HUMAN docs: HUMAN Challenge
- HUMAN docs: Code Defender introduction
- HUMAN docs: Precheck settings
- HUMAN docs: About Agent Trust Levels
- HUMAN documentation index (product lines)
HUMAN, HUMAN Security, Sightline and HUMAN Challenge are trademarks of HUMAN Security, Inc. This comparison is based on public information as of September 2026 and may change. Kavra Lab is not affiliated with HUMAN Security.
How Kavra helps
Why teams choose Kavra
Kavra analyzes 3,000+ data points on every visit and returns a decision your team can read and act on.
One script, one API call
Script under 64 KB, async, never blocks rendering. First results the same day.
Explained decisions
A plain-language headline, the findings behind it and a recommended action for every assessment.
Account linking
One actor behind many accounts is linked, even across fingerprint rotations and new proxies.
Verified AI agents
Good crawlers and agents recognized by signatures and published IP ranges; you choose allow, check or block.
You decide
Kavra recommends; your backend allows, verifies or blocks. Start in observe-only mode.
FAQ
Frequently asked questions
Something else? Talk to our team.
What does HUMAN Security do?
HUMAN Security protects businesses from malicious bots, account fraud and digital ad fraud. Its application products include Sightline Cyberfraud Defense, Bot Defender, Account Defender, Credential Intelligence, Code Defender and AgenticTrust. A separate Advertising Protection line covers ad fraud. Protection runs through a browser sensor, a cloud detector and an enforcer on your infrastructure.
Does HUMAN Security protect against ad fraud?
Yes. HUMAN's documentation describes two separate product lines: Applications Protection for bots, accounts and AI agents, and Advertising Protection for ad fraud. Kavra does not offer ad fraud protection. It focuses on bots and fraud on your own site and app, such as fake signups, account takeover, bonus abuse, scraping and card testing.
What is the HUMAN Challenge?
HUMAN Challenge is HUMAN's alternative to classic CAPTCHAs: a press and hold interaction that its docs say is hard to solve through API calls, automation or CAPTCHA farms. Kavra never shows puzzles. It runs every check in the background, with no required action from the visitor.
Can Kavra run alongside HUMAN?
Yes. Kavra does not sit in the request path, so it can run next to an existing enforcer. A common setup keeps edge bot defense in place and adds Kavra on signup, login, promo claim and checkout, where account linking and explained verdicts matter most. Observe-only mode shows what Kavra adds before you change any rule.
See who is really on your site.
Run Kavra on your own traffic in observe-only mode. No risk to your customers, and a clear report of the fraud it finds.