Enkrypt AI is a security-first platform built to help organizations safely deploy and scale artificial intelligence systems. With the rapid growth of AI in enterprise settings, concerns over data privacy, model integrity, and regulatory compliance have become increasingly important. Enkrypt AI addresses these challenges by providing a platform that ensures AI deployments are secure, explainable, compliant, and auditable from end to end.
The platform is designed for highly regulated industries like finance, healthcare, and government where data sensitivity and model accountability are paramount. By combining advanced security infrastructure with policy enforcement and monitoring capabilities, Enkrypt AI allows organizations to leverage powerful AI models — including open-source and large language models — without compromising compliance or trust.
Features
Enkrypt AI offers a robust set of features that support secure and compliant AI operations:
Model Governance and Policy Enforcement
Apply fine-grained control over how and where AI models are used. Define policies that restrict sensitive data flows and ensure ethical usage of AI.Data Privacy Controls
Automatically redact or mask sensitive data before it’s used by AI models. Helps prevent exposure of PII, PHI, and other regulated data types.Audit and Monitoring
Maintain a complete audit trail of model usage, data access, and decisions made by AI systems. Essential for compliance with standards like GDPR, HIPAA, and SOC 2.Zero Trust Security Architecture
Protect model inputs and outputs using encryption, authentication, and network segmentation. Enkrypt AI applies zero-trust principles to ensure secure access at all times.Secure AI Gateway
Deploy Enkrypt as a gateway layer between internal applications and external AI services. This controls and inspects all traffic to public LLMs like OpenAI, Anthropic, and open-source models.Explainability and Bias Detection
Tools to analyze how models make decisions and identify potential bias or performance issues in real-world applications.Model Risk Management
Assess and score AI model risks across security, compliance, and performance dimensions, enabling better oversight and decision-making.
How It Works
Deploy Enkrypt AI as a Gateway or API Layer
Organizations integrate Enkrypt AI between their internal systems and external AI services or LLMs.Configure Security and Compliance Policies
Admins define rules for data access, usage logging, redaction, and endpoint control based on organizational policies and regulatory requirements.Monitor and Analyze Usage
Enkrypt tracks every AI interaction — including model calls, inputs, and outputs — and provides analytics dashboards for compliance and risk monitoring.Control Model Access and Data Flows
Based on policy settings, Enkrypt allows, blocks, or modifies AI usage in real time, ensuring sensitive data never leaves the secure environment unprotected.Maintain Audit Logs and Reporting
All AI usage is recorded and stored for auditing, compliance reporting, and internal reviews.
Use Cases
Enkrypt AI is ideal for companies and institutions in highly regulated or sensitive domains:
Financial Services
Protect sensitive customer and transaction data during AI processing, ensure model usage complies with internal policies and regulatory standards.Healthcare and Life Sciences
Maintain HIPAA compliance while using AI for diagnostics, patient insights, or research applications.Government and Defense
Ensure mission-critical systems using AI are secure, explainable, and auditable.Legal and Compliance Teams
Use Enkrypt to validate AI decisions, monitor usage, and prevent unauthorized data sharing with external models.Enterprise IT and Security
Enforce access control, redaction, and monitoring over all AI model usage across departments.
Pricing
As of now, Enkrypt AI does not publish pricing information on its website. The platform is offered to enterprise clients and government agencies through custom contracts, tailored based on deployment size, model usage volume, required security controls, and integration complexity.
Organizations can request a demo or contact the sales team directly via the official contact form to receive a customized proposal.
Strengths
Built specifically for secure, compliant AI deployments
Supports both commercial LLMs and open-source models
Zero-trust architecture enhances enterprise security posture
Auditing and logging help with GDPR, HIPAA, and SOC 2 compliance
Redaction and policy enforcement prevent data leakage
Suitable for real-time, high-risk AI applications in regulated environments
Drawbacks
No public pricing or self-service plans
Designed primarily for enterprise-scale organizations
Initial setup and integration may require IT and security team involvement
Currently not oriented toward individual developers or startups
Comparison with Other Tools
Enkrypt AI is positioned differently from generic AI model management or MLOps tools. While platforms like MLflow or Weights & Biases focus on experimentation and model lifecycle, Enkrypt AI emphasizes operational security, compliance, and governance. It is more comparable to tools like Robust Intelligence or Credo AI, but with deeper focus on real-time protection, secure gateways, and zero-trust policy enforcement for large enterprises and government users.
Customer Reviews and Testimonials
Enkrypt AI is a relatively new platform but is gaining attention from security leaders and enterprise AI teams for its specialized capabilities. Though the website does not yet feature customer testimonials, the founding team has deep expertise in enterprise security, and the platform is designed in collaboration with major organizations across finance, healthcare, and defense sectors.
To explore real-world use cases and updates, you can follow their team on LinkedIn or request case studies during your demo session.
Conclusion
As AI becomes central to enterprise operations, security, governance, and compliance can no longer be afterthoughts. Enkrypt AI provides the infrastructure to deploy AI responsibly, ensuring that every interaction with models — whether internal or external — is protected, monitored, and auditable.
For organizations in regulated industries, Enkrypt AI is a vital layer of defense that allows innovation without compromising trust or compliance. Its secure AI gateway, policy controls, and auditing tools make it a top choice for enterprises seeking to manage the risks of generative AI and large-scale deployments.
