Start with identifying frauds and increase ROI. The cognitive engine’s model gets trained from end-users, separates good users & bad users, and provides real-time solutions to detect and prevent online fraud attacks.
Block fraud not legitimate customers
Start with identifying frauds and increase ROI. The cognitive engine’s model gets trained from end-users, separates good users & bad users, and provides real-time solutions to detect and prevent online fraud attacks.
I'm @SandeepL337, the founder of Authsafe, an account takeover prevention solution. Most account takeovers today stem from credential stuffing, where an attacker rotates through lists of leaked credentials, probing for ones that work. AuthSafe identifies the source signature of an attack in real time, blocking malicious login attempts even when the credentials were valid. After the successful integration of API from Authsafe, the behavioral analysis starts on the SaaS application. We consider th
Dashboard looks good but I have never logged in to the dashboard. Support team helped me to integrate my application login using webhooks. Recently, I can see a reduction in the support email for password recovery. They have mentioned as real-time, I feel some latency is ok.
AuthSafe is indeed a genius product to protect the organization and individuals accounts from digital theft. This product is need of hour to prevent malware logins in system. Its best feature is to get to the origin of attackers that too with real login credentials. Hats off to such essential feature.
Wow! Looks like a real intelligent solution for real time attacks. I am highly interested to see it in action, as it can save alot of time and efforts of team. Will ask IT team of my organization to connect with you for demo.
Great product!! Especially for those whoever is looking for a modern fraud detection platform. We have recently completed a demo of this and it is covering all our business cases to secure our customer data. The best part I personally liked is- AuthSafe’s intellectual risk assessment actively monitors the user performance in order to keep us out from malicious behavior and activities.
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.
Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.