Account Takeover Prevention Solution

What Authsafe provides to you ?

Command control centre

The command control centre is the company’s AuthSafe dashboard. Learn about users’ devices’ risk scores, threat signals, processed traffic, brute-force attacks, and malicious URLs by using the dashboard interface.

Device management API

AuthSafe provides APIs details for listing the login devices’ names. Customers can create or use a predeveloped interface to list the user’s devices. Listed devices will be helpful in securing devices using the user’s intelligence.

Device analysis

Device analysis End users may access digital services using multiple devices. AuthSafe performs a cognitive analysis of the used devices to identify suspicious devices.

Webhooks and APIs for real-time alerts

AuthSafe solution provides webhooks and APIs for communicating with a customer’s application. End-user password rest status can be set using the API in real-time. Webhooks will provide you details about the incident in real-time.

Monitor visitor traffic for malicious bots

The AuthSafe solution uses behavioural analysis to detect malicious bots and label the traffic as good or bad. AuthSafe was deployed with a machine learning engine for identifying the likelihood of malicious bot traffic, and the customer can create their own rules to whitelist the custom bots.

Detect & mitigate malicious URLs

Keep your users safe from the malicious URLs posted on the website. You can stop sharing malicious links through your platform and warn your users before they visit sites that are known to be unsafe.

3rd party integration

To stay up to date with incidents and suspicious device activities, customers can integrate with Slack, MS teams, Jira.

Human support 24/7

AuthSafe security engineers will always be available to help you with problems.

What problem will you solve with Authsafe ?

The organization may realize that a bad actor is accessing the accounts for performing fraudulent activities such as purchases, increased chargebacks, or customer data stealing. Before the fraudulent activity a bad actor finds the login interfaces to test leaked credentials to gain access to an account. AuthSafe solution uses the cognitive machine learning engine to get trained from the customer’s end user behavioral analytics to identify the good users and bad users away from the digital service at mass scale.

Stealing user credential using keystrokes malware and using them on the portal

Automated bot for proﬁles website, to guess the password

Automated brute Force attack

Credential stufﬁng

What problem will you solve with Authsafe ?

The organization may realize that a bad actor is accessing the accounts for performing fraudulent activities such as purchases, increased chargebacks, or customer data stealing. Before the fraudulent activity — a bad actor finds the login interfaces to test leaked credentials to gain access to an account. AuthSafe solution uses the cognitive machine learning engine to get trained from the customer’s end-user behavioral analytics to identify the good users and bad users away from the digital service at mass-scale.

Stealing user credential using keystrokes malware and using them on the portal

Automated bot for proﬁles website, to guess the password

Automated brute Force attack

Credential stufﬁng

Automatic workﬂow for account security

AuthSafe’s cognitive user behavior engine allows legitimate users to have a delightful experience and refrain from engaging with bad actors. AuthSafe provides detailed data about risks associated with each device, which are calculated using the cognitive engine.

Developers can use API to provide the user with more control by creating a custom page to report a suspicious device. AuthSafe’s API allows you to list the number of registered devices, integrating webhooks for security alerts.

Automatic workﬂow for account security

How does AuthSafe secure the organization's authentication service?

First, when your customer visits the application’s pages, AuthSafe’s cognitive engine starts learning about your customer’s behaviors. The cognitive engine begins behavior analysis of pre- and post-authentication, page views, and device patterns using your end-user inputs. The cognitive machine learning engine starts evaluating the risks of your end-user and identifies any credential stuffing, brute force attack, or potential compromise.

Second, cognitive machine learning naturally makes your digital service more secure and offers the customer an extraordinary experience with airtight account security. You can set the risk threshold to allow or disallow the user, and the results of the threshold are sent to login business logic in real time. Even if you over calculate the risk threshold,users are never locked out, and we achieve zero lockouts using recovery workflows.

Third, when a bad behavior is identified, a recovery workflow is initiated in real time. The potentially compromised user is notified via webhooks to lock the user. Based on the risk policy developed from the customer’s side, the user’s access is allowed, declined,or challenged by 2F (two-factor) authentication.

Features

Integration : Easily can be integrated with existing application and mobile app authentication. For incident alert you can also integrate with Slack, MS teams.

Security :Continuous security and account takeover prevention for end-user using cognitive analysis engine.

Frictionless :Digital experience of the user improved with security.

Account Fraud :Stop bad actors from accessing end-user’s account.

Benefits

Continuous uptime : Protecting accounts by providing continuous uptime.

Automated workflow : User automatically notified and risk will be mitigated automatically.

Risk Signals : Users authenticated devices risk rating maintained to initiate incident workflow.

Less False Positive : Unique behavioral of user.

Removed Account takeover : Bad actor will fail to access the account even with valid user and password.