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Inkrypt Ai

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Future ready encryption for modern applications

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User RatingNot rated yet
Starting PricePer User
Free Trial14 Days
Free VersionNot available
APINot available
DeploymentCloud Hosted
HeadquartersUnited States
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Product Overview

Inkrypt Ai Overview

Product description, media, company details, support, training, deployment, customer size, languages, and industries.

About Inkrypt Ai

Inkrypt.ai is an enterprise-grade cryptographic security and key management platform designed to deliver automated encryption, post-quantum readiness, real-time telemetry, and centralized cryptographic governance for modern software systems. The platform enables organizations to integrate encryption and key management into applications through generated SDKs while maintaining operational visibility and compliance readiness.

Inkrypt.ai is built to support zero-downtime cryptographic operations, automated key rotation, and real-time security analytics, addressing both current security threats and future risks posed by quantum computing.

Official product reference: https://inkrypt.ai/

2. Platform Architecture Overview
Inkrypt.ai follows a modular, cloud-native architecture consisting of a web-based management console, backend cryptographic services, telemetry pipelines, and SDK-based client integrations.

High-level architecture components include:
Web-based Administration & Analytics Console
Backend Cryptographic & Key Management Services
SDK Generation & Distribution Layer
Telemetry, Logging & Analytics Engine
Integration & Security Interface Layer

This separation ensures scalability, fault isolation, and enterprise-grade reliability.
Source: https://inkrypt.ai/

3. Frontend Architecture
3.1 Technology Stack
The Inkrypt.ai frontend is implemented as a modern single-page application optimized for performance, security visibility, and usability.
Key characteristics:

Component-based UI architecture
Secure session handling and role-based access controls
Real-time dashboard rendering using live telemetry feeds
The frontend provides interfaces for:
Security Dashboard
Telemetry Control Center
SDK Management Suite
Enhanced Analytics
Key & Algorithm Management
Audit Logs and User Management

These interfaces enable security teams and developers to manage cryptographic operations from a single pane of glass.
Frontend reference: https://inkrypt.ai/

4. Backend Architecture
4.1 Core Backend Services
The backend of Inkrypt.ai is designed as a distributed service architecture responsible for cryptographic execution, key lifecycle management, telemetry processing, and policy enforcement.
Primary backend components include:
Key Management Service (KMS)
Cryptographic Execution Engine
SDK Orchestration Service
Telemetry & Metrics Processor
Policy & Access Control Engine

These services communicate via secure internal APIs and are designed to scale horizontally.
Source: https://inkrypt.ai/

4.2 Cryptographic Engine
The cryptographic engine supports hybrid encryption models combining classical cryptography with post-quantum cryptography readiness.
Supported characteristics:
Symmetric encryption using authenticated cipher modes such as AES-GCM
Secure key wrapping and envelope encryption
Hybrid cryptographic workflows enabling quantum-safe transitions

The system is aligned with guidance from NIST on post-quantum cryptography and hybrid cryptographic approaches.
Reference: https://www.nist.gov/pqcrypto

5. SDK Management & Developer Integration
5.1 SDK Generation Framework
Inkrypt.ai provides a centralized SDK Management Suite that allows organizations to generate, manage, and distribute encryption SDKs for multiple programming languages.
Capabilities include:
SDK generation per application or environment
Versioned SDK lifecycle management
Language support, including JavaScript, TypeScript, and other modern stacks
Secure embedding of encryption workflows without exposing raw keys

SDKs abstract cryptographic complexity while enforcing platform security policies.
Developer reference: https://inkrypt.ai/developers/

5.2 Application Integration Model
Applications integrate Inkrypt.ai SDKs to perform:
Data encryption and decryption
Secure key retrieval via policy-controlled access
Telemetry emission for every cryptographic operation

All cryptographic operations are logged and monitored centrally.
Source: https://inkrypt.ai/developers/

6. Telemetry, Analytics & Monitoring
6.1 Real-Time Telemetry Pipeline
Inkrypt.ai collects real-time telemetry from all cryptographic operations executed through its SDKs and backend services.
Telemetry data includes:
Encryption and decryption count
Operation latency
Success and failure rates
Algorithm usage distribution
Platform and environment metadata

This data is visualized in dashboards such as the Telemetry Control Center and Enhanced Analytics modules.
Source: https://inkrypt.ai/

6.2 Analytics & Dashboards
The platform provides:
Security Dashboard for high-level posture
Enhanced Analytics for operational insights
Usage timelines and performance trends
Incident and threat monitoring views

These analytics support proactive security operations and compliance reporting.
Reference: https://inkrypt.ai/

7. Security Model
7.1 Key Protection & Access Control
Inkrypt.ai enforces strict access control and isolation for cryptographic keys:
Keys are never exposed in plaintext to client applications
Role-based access control governs key usage
Automated key rotation minimizes exposure windows

The platform is designed to support zero-trust security principles.
Source: https://inkrypt.ai/

7.2 Post-Quantum Readiness
Inkrypt.ai adopts a hybrid cryptographic strategy aligned with NIST recommendations, allowing organizations to transition to post-quantum algorithms without disrupting existing systems.

This approach mitigates future quantum threats while maintaining present-day compatibility.
Reference: https://www.nist.gov/pqcrypto

8. Compliance & Enterprise Readiness
Inkrypt.ai is designed to support compliance requirements across regulated industries, including:
Strong cryptographic standards alignment
Centralized audit logging
Immutable activity records
SIEM integration for enterprise monitoring

The platform can integrate with external security tools such as SIEM platforms for unified visibility.
Source: https://inkrypt.ai/

9. Deployment Model
Inkrypt.ai is offered as a cloud-based SaaS platform with enterprise-grade availability and scalability.
Key deployment characteristics:
Secure cloud-hosted control plane
SDK-based data-plane operations
Scalable backend services

High availability and fault tolerance
Deployment reference: https://inkrypt.ai/

10. Target Use Cases
Enterprise application data encryption
API payload protection
SaaS platform security hardening
Cloud-native and microservices architectures
Future-proof cryptographic modernization

11. Official References
Inkrypt.ai Official Website: https://inkrypt.ai/
Inkrypt.ai Developers Portal: https://inkrypt.ai/developers/
NIST Post-Quantum Cryptography Program: https://www.nist.gov/pqcrypto
Company Averox
Founded 2002
Headquarters United States
Employees 51-100

Support

24x7 Support Email Phone Chat

Training

In-person Live Online Webinar Documentation Videos

Licensing & Deployment

Proprietary Cloud Hosted Web-Based

Typical Customers

Small-Business Midsize-Business Large-Enterprise-Business
Languages Supported 1 language available
English
Industries Served 1 industry available
Enterprise
Category-Based Capabilities

Inkrypt Ai Features

Each category combines the selected software category, its category-specific description, and the features assigned to that category.

Encryption Software 13 selected features Open category ↗ ⌄

Inkrypt.ai is an enterprise-grade cryptographic security platform offering automated encryption, centralized key management, SDK-based integration, real-time telemetry, and post-quantum readiness to secure modern applications while maintaining visibility, compliance, and operational control.Inkrypt.ai follows a modular, cloud-native architecture consisting of a web-based management console, backend cryptographic services, telemetry pipelines, and SDK-based client integrations.

Access Controls/Permissions Event Logs Compliance Management Reporting/Analytics Audit Trail Policy Management Password Management Real-Time Monitoring File Encryption Cloud Encryption Key Management Backup and Recovery Artificial Intelligence
Key Management Software 13 selected features Open category ↗ ⌄

Inkrypt.ai is an enterprise-grade cryptographic security platform offering automated encryption, centralized key management, SDK-based integration, real-time telemetry, and post-quantum readiness to secure modern applications while maintaining visibility, compliance, and operational control.Inkrypt.ai follows a modular, cloud-native architecture consisting of a web-based management console, backend cryptographic services, telemetry pipelines, and SDK-based client integrations.

Lock Management Alerts/Notifications Key Holder Management Access Controls/Permissions Master Key Management Barcoding/RFID Check-in/Check-out Overdue Tracking Audit Trail Cryptographic Keys Physical Keys Rekeying Artificial Intelligence
Connected Applications

Inkrypt Ai Integrations

Integration information is displayed only when approved integration products are available on the profile.

Pricing Information

Inkrypt Ai Pricing

Pricing type, currency, trial availability, payment frequency, destination links, and package-level starting prices.

Pricing Type Per User
Preferred Currency USD ($)
Free Trial 14 Days
Free Version Not available
Payment Frequency Monthly Subscription
Pricing Page ↗ Trial Page ↗ Request Demo ↗
Frequently Asked Questions

Inkrypt Ai FAQs

Answers generated from approved profile information, selected options, packages, integrations, support, training, deployment, and devices.

Inkrypt.ai is an enterprise-grade cryptographic security and key management platform designed to deliver automated encryption, post-quantum readiness, real-time telemetry, and centralized cryptographic governance for modern software systems. The platform enables organizations to integrate encryption and key management into applications through generated SDKs while maintaining operational visibility and compliance readiness.

Inkrypt.ai is built to support zero-downtime cryptographic operations, automated key rotation, and real-time security analytics, addressing both current security threats and future risks posed by quantum computing.

Official product reference: https://inkrypt.ai/

2. Platform Architecture Overview
Inkrypt.ai follows a modular, cloud-native architecture consisting of a web-based management console, backend cryptographic services, telemetry pipelines, and SDK-based client integrations.

High-level architecture components include:
Web-based Administration & Analytics Console
Backend Cryptographic & Key Management Services
SDK Generation & Distribution Layer
Telemetry, Logging & Analytics Engine
Integration & Security Interface Layer

This separation ensures scalability, fault isolation, and enterprise-grade reliability.
Source: https://inkrypt.ai/

3. Frontend Architecture
3.1 Technology Stack
The Inkrypt.ai frontend is implemented as a modern single-page application optimized for performance, security visibility, and usability.
Key characteristics:

Component-based UI architecture
Secure session handling and role-based access controls
Real-time dashboard rendering using live telemetry feeds
The frontend provides interfaces for:
Security Dashboard
Telemetry Control Center
SDK Management Suite
Enhanced Analytics
Key & Algorithm Management
Audit Logs and User Management

These interfaces enable security teams and developers to manage cryptographic operations from a single pane of glass.
Frontend reference: https://inkrypt.ai/

4. Backend Architecture
4.1 Core Backend Services
The backend of Inkrypt.ai is designed as a distributed service architecture responsible for cryptographic execution, key lifecycle management, telemetry processing, and policy enforcement.
Primary backend components include:
Key Management Service (KMS)
Cryptographic Execution Engine
SDK Orchestration Service
Telemetry & Metrics Processor
Policy & Access Control Engine

These services communicate via secure internal APIs and are designed to scale horizontally.
Source: https://inkrypt.ai/

4.2 Cryptographic Engine
The cryptographic engine supports hybrid encryption models combining classical cryptography with post-quantum cryptography readiness.
Supported characteristics:
Symmetric encryption using authenticated cipher modes such as AES-GCM
Secure key wrapping and envelope encryption
Hybrid cryptographic workflows enabling quantum-safe transitions

The system is aligned with guidance from NIST on post-quantum cryptography and hybrid cryptographic approaches.
Reference: https://www.nist.gov/pqcrypto

5. SDK Management & Developer Integration
5.1 SDK Generation Framework
Inkrypt.ai provides a centralized SDK Management Suite that allows organizations to generate, manage, and distribute encryption SDKs for multiple programming languages.
Capabilities include:
SDK generation per application or environment
Versioned SDK lifecycle management
Language support, including JavaScript, TypeScript, and other modern stacks
Secure embedding of encryption workflows without exposing raw keys

SDKs abstract cryptographic complexity while enforcing platform security policies.
Developer reference: https://inkrypt.ai/developers/

5.2 Application Integration Model
Applications integrate Inkrypt.ai SDKs to perform:
Data encryption and decryption
Secure key retrieval via policy-controlled access
Telemetry emission for every cryptographic operation

All cryptographic operations are logged and monitored centrally.
Source: https://inkrypt.ai/developers/

6. Telemetry, Analytics & Monitoring
6.1 Real-Time Telemetry Pipeline
Inkrypt.ai collects real-time telemetry from all cryptographic operations executed through its SDKs and backend services.
Telemetry data includes:
Encryption and decryption count
Operation latency
Success and failure rates
Algorithm usage distribution
Platform and environment metadata

This data is visualized in dashboards such as the Telemetry Control Center and Enhanced Analytics modules.
Source: https://inkrypt.ai/

6.2 Analytics & Dashboards
The platform provides:
Security Dashboard for high-level posture
Enhanced Analytics for operational insights
Usage timelines and performance trends
Incident and threat monitoring views

These analytics support proactive security operations and compliance reporting.
Reference: https://inkrypt.ai/

7. Security Model
7.1 Key Protection & Access Control
Inkrypt.ai enforces strict access control and isolation for cryptographic keys:
Keys are never exposed in plaintext to client applications
Role-based access control governs key usage
Automated key rotation minimizes exposure windows

The platform is designed to support zero-trust security principles.
Source: https://inkrypt.ai/

7.2 Post-Quantum Readiness
Inkrypt.ai adopts a hybrid cryptographic strategy aligned with NIST recommendations, allowing organizations to transition to post-quantum algorithms without disrupting existing systems.

This approach mitigates future quantum threats while maintaining present-day compatibility.
Reference: https://www.nist.gov/pqcrypto

8. Compliance & Enterprise Readiness
Inkrypt.ai is designed to support compliance requirements across regulated industries, including:
Strong cryptographic standards alignment
Centralized audit logging
Immutable activity records
SIEM integration for enterprise monitoring

The platform can integrate with external security tools such as SIEM platforms for unified visibility.
Source: https://inkrypt.ai/

9. Deployment Model
Inkrypt.ai is offered as a cloud-based SaaS platform with enterprise-grade availability and scalability.
Key deployment characteristics:
Secure cloud-hosted control plane
SDK-based data-plane operations
Scalable backend services

High availability and fault tolerance
Deployment reference: https://inkrypt.ai/

10. Target Use Cases
Enterprise application data encryption
API payload protection
SaaS platform security hardening
Cloud-native and microservices architectures
Future-proof cryptographic modernization

11. Official References
Inkrypt.ai Official Website: https://inkrypt.ai/
Inkrypt.ai Developers Portal: https://inkrypt.ai/developers/
NIST Post-Quantum Cryptography Program: https://www.nist.gov/pqcrypto

  • No, Inkrypt Ai does not offer a free version.

  • Yes, Inkrypt Ai offers a free trial.

  • No, Credit Card details are not required for the Inkrypt Ai trial.

  • Inkrypt Ai supports the following payment frequencies:

    • Monthly Subscription

  • No, Inkrypt Ai does not offer an API.

  • Inkrypt Ai can be integrated with the following applications:

    • Data Analytics Console , SDK generation , key management service , distribution layer , telemetry , security interface layer

  • Inkrypt Ai offers support with the following options:
    • 24x7 Support , Email , Phone , Chat

  • Inkrypt Ai offers training with the following options:
    • In-person , Live Online , Webinar , Documentation , Videos

  • Inkrypt Ai supports the following languages:
    • English

  • Following are the typical users of the Inkrypt Ai:
    • Small-Business , Midsize-Business , Large-Enterprise-Business

  • Inkrypt Ai supports the following deployment:
    • Cloud Hosted

  • Inkrypt Ai supports the following devices and operating systems:
    • Web-Based
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