Detect Expert Academy
by Vektor T13
for the most dynamic market.
We provide exactly the experience that will help make your business efficient and easily scalable.


Education
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DETECT EXPERT
Market leader in multi-accounting and anti-fraud system research
Since 2014, we have been continuously researching the anti-fraud systems of popular online services, together with our international community.
10 years
Research Experience
450+
Services researched
23 000+
Active clients
600+
Students of the academy
RELEVANT SOLUTIONS
Study how the anti-fraud systems of world leaders work
Our courses cover only current solutions, methodologies, and practices used by leading global companies in their work.
Security
We value your anonymity online
Anonymous registration
Use anonymous email services for registration and payment. Using a phone number is not required.
Confidential communication
You can use an anonymous Telegram account to interact with your curators.
Anonymous payment method
You can pay for online courses using cryptocurrency: BTC, LTC, ETH, TRX, USDT TRC20, BNB, BUSD, USDT BEP20.

Corporate online training at Detect Expert Academy
We help your employees grow — and that means your business grows too
Corporate discounts
Useful for employees and beneficial for business
Dedicated support
Direct communication with teachers
Information
Project News
In our blog, we talk about current methods of fraud protection, multi-accounting, and ways to stay anonymous online.

Canvas Picasso: how modern anti-fraud systems detect device spoofing and rendering noise.
How Canvas Picasso helps anti-fraud systems recognise device spoofing, rendering noise, and emulators.
29.11.25
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A review of the anti-fraud system of the financial organization M&T Bank
Analyzing the data that the bank's anti-fraud system collects from mtb.com and methods to circumvent blocking.
29.03.25
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Network fingerprinting in antifraud systems: p0f, JA3, JA4 and other user identification methods
Modern antifraud systems use network fingerprints such as p0f, JA3 and JA4 to identify devices and detect bots.
30.01.25
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