Scalekit Features

As reported in 14 Scalekit reviews. Process of providing credentials and logging into multiple systems is easy and intuitive for users

Supports required 3rd party Authentication Technologies. Example systems: bioMetric, passwords, key cards, token based systems, etc.

Support SSO via Web agents, proxy agents, agent-less, SAML or oAuth and WS-Federation authentication and authorization Web services depending upon the application and business use case This feature was mentioned in 14 Scalekit reviews.

Can serve as the identity provider to external service providers so that when the user logs into a service, instead of providing credentials to the service provider, the service provider trusts the identity provider to validate the credentials. 14 reviewers of Scalekit have provided feedback on this feature.

Based on 14 Scalekit reviews. Can serve as the Service provider from an external service so that when the user logs in externally they have seamless SSO to internal applications from a service provider.

Provides Administration tools/console that are easy to use and learn for routine maintenance tasks This feature was mentioned in 14 Scalekit reviews.

Easily provisions new systems, platforms or applications using configuration and not customization. 14 reviewers of Scalekit have provided feedback on this feature.

Support for wide variety of cloud and on premise apps to automate provisioning for existing and new applications procured

Provides appropriate application interfaces to enable custom integrations for unique business requirements

Based on 13 Scalekit reviews. Supports Endpoint access control to multiple operating systems

Based on 13 Scalekit reviews. Allows user authentication to be honored by all the hosts in two or more domains

Support access to browser based applications across required browser types 14 reviewers of Scalekit have provided feedback on this feature.

As reported in 12 Scalekit reviews. Provides required failover mechanisms to ensure if one server, network, etc fails users are still able able to authenticate

Based on 10 Scalekit reviews. Provides mechanism for auditing authentication for trouble shooting purposes.

Users can request access to an application and be automatically provisioned if they meet policy requirements

Automates account/access rights creation, changes and removals for on-premise and cloud apps

Establish roles that create a set of authentication rights for each user in the role

Enables administrators to create access policies and applies policy controls throughout request and provisioning processes

Terminate access to multiple applications based on dates

Allow business stake-holders/managers to approve or reject requested changes to access via a defined workflow

Change users and permissions in bulk

Keep identity attributes consistent across applications whether the change is made in the provisioning system or the application

Proactively audits access rights against policies

Enables a seamless customer experience with self-registration and self-service functions, including account creation and preference management.

Verifies user identity with authentication, which may include multiple multi-factor authentication methods.

Scales to support growing a customer base.

Captures and manages a customer's consent and preferences to comply with data privacy laws such as GDPR and CCPA.

Offers users the option to sign in with social media accounts.

Integrates with directories or other data stores that house customer data to create a complete view of a customer.

Possesses AI-driven triggers to determine when to require MFA or stronger authentication rather than always requiring it.

Builds profiles of known devices/environments per user and flags deviations such as new devices, new networks, and/or suspicious locations as higher risk.

Spot fraudulent behavior, such as account takeover attempts, credential stuffing, bots, and brute force attacks through the use of AI.

Uses machine learning to analyze past authentication events and suggest optimizations to security policies (e.g. thresholds, triggers) or to adjust rules over time.

Leverages AI to assign a risk score to a login attempt based on context, device, IP, historical patterns to dynamically decide whether to prompt for MFA, additional challenges, or allow seamless login.

Monitors behavioral signals including typing patterns, mouse movement, and/or touch/swipe dynamics to verify user identity either at login or continuously after login.

Uses computer vision, facial recognition, or other biometrics during onboarding or at risk events, with AI-based liveness checks to prevent spoofing or replay attacks.

Generates dynamic prompts to guide users through account recovery workflows.

Implements artificial intelligence to filter, rewrite, or block prompts that attempt to access unauthorized data, escalate privileges improperly, exploit system weaknesses, or otherwise re-provision customer access permissions.