Kavra LabPOST /loginBlockedCredential stuffing through rotating proxies
- Automation framework detected
- Residential proxy exit
- 14 accounts tried, one device
Risk97
Comparison
Akamai Bot Manager alternative: fraud decisions without the edge
Akamai Bot Manager scores requests from 0 (human) to 100 (bot) on Akamai's edge platform and applies response actions such as monitor, challenge, tarpit or deny. Kavra needs no edge contract or traffic rerouting: one script and one API call return an explained verdict per request, with account linking and multi-accounting detection, and your backend decides.
- Kavra approach
- Script plus API call, explained verdict to your backend
- Akamai approach
- Bot score and response actions on Akamai's edge
- Visitor friction
- Both aim to stay invisible to most humans
- Best for
- Kavra: account fraud in the app. Akamai: edge-wide bot control
Why teams look for an Akamai Bot Manager alternative
Akamai Bot Manager is an edge product. It sits on the same platform that delivers and protects your web traffic, reads requests as they pass through, and applies an action before the request reaches your origin. For companies that already route their properties through Akamai, that is a natural place to handle bots.
Teams look elsewhere for other reasons. Some do not run on Akamai and do not want to move delivery to get bot detection. Others already have edge bot rules but keep seeing fraud that passes them: one person opening dozens of accounts, logins from spoofed devices on home IP addresses, promo codes claimed again and again. Those cases need decisions tied to users and accounts, with evidence a fraud analyst can read, which is where Kavra is built to help.
How Akamai Bot Manager works
According to Akamai's product page and TechDocs, Bot Manager combines a directory of known bots with detection of bots that do not identify themselves, then lets you choose how to respond.
- Bot score: an algorithmic measure from 0 (human) to 100 (bot). Akamai says it looks at anomalies starting with the very first request, and the score can rise as more requests arrive from the same bot.
- Known bots: a continuously updated directory of known bots that Akamai validates, plus custom bot categories you define yourself.
- Transparent detection: request anomalies such as out-of-order headers, browser version mismatches, incorrect header signatures and common bot-building frameworks.
- Active detection: an interaction that confirms the request comes from a browser typically used by a person.
- Behavioral detection: listed as a Bot Manager Premier feature, focused on transactional endpoints such as login or checkout that you define as API resources.
- Responses: score-based segments called Cautious, Strict and Aggressive, with actions including monitor, challenge, tarpit and deny. Akamai also describes slowing traffic and serving cached content to bots.
- Mobile: a mobile SDK for protecting requests from native apps.
Around it sit related Akamai products. App & API Protector covers WAF, DDoS mitigation and basic bot visibility for traffic passing through Akamai's edge platform, and Akamai's docs suggest upgrading to Bot Manager Premier for adversarial bots or transactional pages. Account Protector adds a user risk score built from user, device, IP, network, bot and reputation indicators, aimed at account opening abuse and account takeover.
Kavra vs Akamai Bot Manager at a glance
Based on Akamai's public product pages and TechDocs as of September 2026.
| Kavra | Akamai Bot Manager | |
|---|---|---|
| What it is | Bot and fraud detection for websites and apps | Bot management on Akamai's edge security platform |
| Traffic routing | None: your traffic keeps its current path | Traffic passes through Akamai's edge platform |
| Integration | One async script and one server API call | Configured in Akamai security settings; mobile SDK for apps |
| Score and output | Verdict with headline, findings and risk by domain | Bot score 0 to 100 with response segments |
| Who enforces | Your backend, with your own rules | Akamai edge actions: monitor, challenge, tarpit, deny |
| Known bot handling | Verified by signatures and operators' IP ranges | Directory of Akamai-validated bots plus custom categories |
| Multi-accounting and account linking | Built in: one actor linked across accounts | Not publicly documented in Bot Manager |
| Account takeover and new accounts | Login compared with the account's own history | Separate product: Account Protector |
| Fingerprint rotation | Tracked as one actor with N rotations | Not publicly documented |
| DDoS, CDN and WAF | Not included; Kavra is not a CDN or WAF | Available on the same platform |
Where Kavra's approach differs
The main difference is not the detection idea but where the decision is made and what it is about.
Decisions in your backend
Kavra returns its verdict to your server. Your code combines it with order value, account age or payment data and chooses the outcome per action.
Accounts linked to one actor
Returning devices are recognized across visits, and accounts that share an actor are linked. That is the core of stopping multi-accounting and fake account creation.
Disguises checked across layers
Kavra looks for contradictions between network, device, browser and behavior, which is how antidetect browsers, emulators and spoofed devices give themselves away.
Evidence a person can read
Every assessment has a plain-language headline, the findings behind it, network context and risk by domain, visible in the console's investigate view.
How Kavra fits into a login or signup flow
The same pattern applies whether or not your site runs behind a CDN.
- 01
The page loads Kavra's script
An async script under 64 KB collects signals in the background and never blocks rendering.
- 02
The user submits
The form sends a signed, single-use token bound to that action along with the request. Replayed tokens are refused and reported.
- 03
Your server asks Kavra
One API call returns the verdict, the findings behind it, the actor's linked accounts and devices, and a recommendation.
- 04
Your backend decides
Allow, step up or block based on your rules. When evidence is not conclusive, Kavra runs more background checks, with nothing for the visitor to solve.
Using Kavra and Akamai together
Kavra and Akamai can be complementary. Akamai keeps delivering content, absorbing DDoS traffic, enforcing WAF rules and filtering automated traffic at the edge. Kavra runs on the flows that carry business risk, such as signup, login, bonus claims, checkout and credential stuffing targets, and answers questions about people and accounts that an edge rule does not have the context for.
Nothing about the edge setup has to change. Kavra does not require DNS or property changes, so you can start in observe-only mode, compare Kavra's findings with your Akamai bot scores and your own fraud outcomes, and decide where each layer should act.
When Akamai Bot Manager may be the better fit
Kavra does not replace everything Akamai provides. Akamai Bot Manager is likely the better fit if:
- Your properties already run on Akamai and you want bot rules enforced at the edge, in the same console as delivery and WAF.
- You need network-layer DDoS protection, a CDN or a WAF. Kavra provides none of these.
- You prefer one vendor for WAF, bots and account protection, and Akamai's Account Protector covers your account risk needs.
- You want edge responses such as tarpitting or serving cached content to bots, applied before traffic reaches your origin.
- Your team would rather tune score segments than write decision logic in the application.
If you already run Akamai and still see account fraud, adding Kavra on high-value flows is usually simpler than replacing anything.
Sources
Akamai and Bot Manager are trademarks of Akamai Technologies, Inc. This comparison is based on public information as of September 2026 and may change. Kavra Lab is not affiliated with Akamai.
How Kavra helps
Why teams choose Kavra
Kavra analyzes 3,000+ data points on every visit and gives your backend a decision it can explain.
No edge migration
One script and one API call. No DNS, property or CDN change, first results the same day.
Built for account fraud
Multi-accounting, account linking, trusted devices per account and login history checks.
Own proxy intelligence
Real exit IPs of commercial residential and mobile proxy networks, on top of 30+ public feeds.
Rotation is a signal
A device that changes fingerprints stays one actor, with each rotation counted.
Your backend decides
Kavra recommends allow, verify or block. You set the rules, starting in observe-only mode.
FAQ
Frequently asked questions
Something else? Talk to our team.
Does Akamai Bot Manager require Akamai's CDN?
Akamai's documentation describes its application security products as acting on traffic as it passes through Akamai's edge platform to reach your origin, and Bot Manager is configured within that platform. Kavra does not work that way: it needs one script and one API call, so your traffic keeps its current CDN, or no CDN at all.
What is the Akamai bot score?
Akamai describes it as an algorithmic measure from 0 (human) to 100 (bot) that reflects the probability a requestor is a bot. You map score ranges to Cautious, Strict and Aggressive response segments and choose the action for each. Kavra instead returns a verdict with its findings and risk by domain, so your team sees why, not only how likely.
What is the difference between Akamai Bot Manager and Account Protector?
Per Akamai, Bot Manager focuses on detecting and handling bots, while Account Protector scores user risk from user, device, IP, network, bot and reputation indicators to fight account opening abuse and account takeover. In Kavra, bot detection, device linking and login history checks come in one assessment.
Can Kavra run alongside Akamai?
Yes. Kavra does not sit in the traffic path, so it works behind any CDN, including Akamai. A common split is Akamai for delivery, DDoS, WAF and edge bot filtering, and Kavra for decisions on signup, login, promotions and checkout, where account-level evidence matters.
Does Kavra detect multi-accounting that edge bot tools miss?
Multi-accounting is often done by a real person using spoofed browser profiles and residential proxies, so each request can look human. Kavra links those accounts through the device, network and behavior they share, and treats fingerprint rotation as a signal. See how that works for bonus abuse.
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.