
FingerprintJS
SHIELD
SEON
Cloaked
Castle
DeepIDV
ShieldLabs
Prevent fraud and grow your revenue.
Phishero
ClearPhish.ai
Phishtime
OutPhish Australia
CAPS Platform
QuickPhish
Gophish
Blend social engineering with real-world phishing simulations to train your users how to detect the most advanced threats.All in a completely self-service, fast, free and modern SaaS platform.

Which is more popular?
Based on our record, CanIPhish seems to be more popular. It has been mentioned 5 times since March 2021.
Website, pricing, platforms and company facts side by side.
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CIP
CanIPhish
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| Website | rupt.dev | caniphish.com |
| Pricing | ||
| Company | Startup from the United States · 10 - 19 employees · 2023 | — |
| Listed in |
In their own words, as submitted to SaaSHub.

Detect account sharing, account takeover, fake accounts, and other fraud draining your revenue. Secure your product and boost its growth.
No description of CanIPhish yet.
What each product offers, as listed by its team.

Possible disadvantages
Walkthroughs and reviews on video.
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CanIPhish SaaS Platform
How often each product is chosen within a category, 0–100% relative to the other.

As answered by people managing Rupt and CanIPhish.
Rupt's answer
Rupt is the most accurate solution built for the specific purpose of growing revenue without annoying users. Competitors have nowhere near the accuracy or effectiveness of Rupt.
Rupt's answer
Most SaaS products will see a 5% - 20% increase in revenue after integrating Rupt. SaaS products with seat-based pricing, digital consumables (stock images, videos, etc.), and products with free trials or unlimited clauses in their plans also see huge gains from preventing fraud and abuse with Rupt.
Rupt's answer
Rupt was born out of necessity. The founder struggled to generate revenue in the previous company because account sharing was rampant. After trying all existing solutions in the market to no success, Ahmed decided to build a real working solution. Rupt was born and quickly reached many companies, generating millions of new net revenues for clients.
Rupt's answer
Rupt's answer
Rupt is a comprehensive solution for detecting and preventing fraud draining SaaS revenue. Unlike many tools Rupt detects, monitors, and stops fraud with immediate impact on revenue on auto-pilot with a customizable solution.
Rupt's answer
Rupt uses machine learning to analyze user behavior and available signals for browser fingerprinting, device identification and person detection. Many of the algorithms are intellectual property and cannot be revealed. However some signals are exposed to customers after signing up.
Share your experience with using Rupt and CanIPhish. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.

Tracking Rupt since Apr 2023.
Having a good experience with CanIPhish. Relatively young, but adding features and options constantly. Devs are extremely responsive to issues and suggestions. Very reasonable costs, especially compared to KnowBe4. Source: over 3 years ago
I personally use CanIPhish. Seems to have evolved alot over the past year. https://caniphish.com/. Source: over 3 years ago
Good budget alternative to KnowBe4 is https://caniphish.com . Not as robust as far as training/onboarding, but very simple to set up and use. Free account allows for 15 emails sent per month. Source: almost 4 years ago
When comparing Rupt and CanIPhish, you can also consider the following products.

Fraud detection and prevention using browser fingerprinting with 99.5% accuracy. Stops account sharing, payment processing fraud and gaming.
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Stop fraud and reduce friction across web and mobile apps with real-time device intelligence.
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CLEARPHISH INC, is a provider of Hyper-Realistic Phishing Simulations and Highly Impactful Cinematic Mode Cyber Awareness Training.
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SEON Sense Platform is a modular and AI-powered fraud detection software that deliver clear results with an automated, machine-driven workflow.
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Phishtime runs realistic phishing simulations and security awareness training to reduce employees' susceptibility to phishing attacks.
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