Enkrypt AI
Secure, compliant enterprise AI with real-time risk management.
Key Takeaways
- What it is
- Secure, compliant enterprise AI with real-time risk management.
- Best for
- Advanced Risk Assessment
- Real-Time Guardrails
- Comprehensive Visibility and Governance
- Rating
- 4.5/5
What is Enkrypt AI?
In the rapidly evolving world of artificial intelligence, security and compliance are paramount, especially for enterprise-level applications. Enkrypt AI excels in providing a robust control layer for enterprise AI, focusing on security, compliance, and risk management for generative AI models. Designed specifically for organizations looking to integrate AI safely and effectively, Enkrypt AI offers a comprehensive suite of tools for seamless monitoring, auditing, and prevention of potential AI threats.
Enkrypt AI stands out with its comprehensive approach to AI security and compliance. Unlike other platforms, it not only protects AI applications from threats but also ensures they operate within regulatory frameworks, making it indispensable for industries dealing with sensitive information.
Enkrypt AI excels in providing robust AI security and compliance solutions, making it an essential tool for enterprises dealing with sensitive data. Its ability to seamlessly integrate with existing systems and uphold stringent compliance standards sets it apart, offering unmatched peace of mind in the deployment and management of generative AI technologies.
Who is Using Enkrypt AI?
Financial Institutions
Employing the tool for secure and compliant AI-driven financial advisory services.
Healthcare Providers
Using the tool to manage AI in patient interaction systems while ensuring data privacy.
Insurance Companies
Leveraging the tool for AI-driven claims processing and risk assessment.
E-commerce Platforms
Utilizing the tool to enhance customer interaction AI without compromising security.
Uncommon Use Cases
Used by educational institutions for AI-driven administrative tasks; adopted by legal firms to manage AI-driven document analysis and compliance.
Key Features
Rating Breakdown
Pricing Plans
Enterprise Custom Pricing
- Tailored pricing plans based on specific enterprise needs and usage scale
Consultation Services
- Offers expert consultation for integration and customization
- Priced per service
Which Enkrypt AI plan should you pick?
Start with Explore for evaluation, upgrade to Launch for a production agent, Scale for multiple agents and SSO, or Enterprise for RBAC and VPC/on-premises deployment.
Explore
Good for students, individual developers, researchers, and evaluating AI security with a free plan.
Launch
Good for startups and small teams launching a single production agent with custom guardrails and audit logs.
Scale
Good for growing companies managing multiple agents, high-volume API usage, multimodal testing, SSO, and CI/CD gating.
Enterprise
Good for large or regulated organizations needing RBAC, VPC or on-premises deployment, custom retention, and identity integrations.
Enkrypt AI Use Cases
Secure customer-facing agents
Define policies, approve data sources, red-team the agent, gate actions by risk, and maintain an auditable session timeline.
Outcome: A release packet supporting Security, Legal, and Product approval.
AI compliance management
Upload industry regulations or policies, generate compliance tests, and apply detected risks as guardrails.
Outcome: Continuous compliance monitoring and audit-ready evidence.
MCP security
Scan MCP servers, approve tools, register trusted servers, and enforce policies through an MCP Gateway.
Outcome: Controlled and traceable tool access for AI agents.
Secure vibe coding
Scan coding-agent behavior before execution and govern it during runtime.
Outcome: Safer AI-assisted development workflows.
AI data risk auditing
Review datasets, connectors, and RAG sources for privacy, governance, and data-poisoning risks before deployment.
Outcome: A sign-off packet and approved or blocked data registry.
Workflow Ideas with Enkrypt AI
Customer-facing agent release
- 1Define safety, brand, and escalation policies
- 2Approve connectors, datasets, and RAG corpora
- 3Red-team the agent and pin regressions
- 4Risk-tier every tool action
- 5Export the approval and audit packet
Regulation-to-guardrail workflow
- 1Upload a regulation or policy PDF
- 2Generate compliance tests and control candidates
- 3Run tests against the AI application
- 4Add detected risks to runtime guardrails
AI data approval workflow
- 1Define the intended use as TRAIN, RAG, or EVAL
- 2Import a data manifest or connect sources
- 3Generate risk and approval artifacts
- 4Require approval before deployment
How Enkrypt AI fits into your stack
API Access
Allows for integration with existing enterprise systems via robust APIs.
Cloud Compatibility
Seamlessly operates across various cloud platforms, facilitating easy deployment.
Custom Integration Services
Offers services to customize integrations according to specific business workflows.
Third-Party Security Tools
Compatible with leading security solutions to enhance protection measures.
Pros
- +Enhanced Data Security: Protects sensitive information from leaks, unauthorized access, and other security threats.
- +Cost Efficiency: Reduces the need for extensive manual auditing and compliance checks, lowering operational costs.
- +Scalability: Easily scales across multiple AI projects and applications within an enterprise.
- +User-Friendly Interface: Provides an intuitive platform that simplifies the management of complex AI security tasks.
Cons
- −Complex Setup: May require detailed initial setup and customization to align with specific organizational needs.
- −Resource Intensity: The extensive features and security measures might demand significant system resources.
- −Learning Curve: New users may experience a steep learning curve due to the depth and breadth of functionalities.
Limitations & when to consider alternatives
Known limitations
- Explore has limited credits. The free Explore plan provides 50 credits per month, and a comprehensive red-team assessment requires 5,000 credits.
- Data retention varies by plan. Retention is 7 days on Explore, 30 days on Launch, 90 days on Scale, and custom on Enterprise.
- Advanced deployment is enterprise-oriented. VPC or on-premises deployment and unlimited VPC usage are Enterprise features.
- Advanced collaboration controls require higher tiers. SSO is available on Scale and Enterprise, while RBAC is listed for Enterprise.
Look elsewhere when
- You need a native mobile application.
- You need a downloadable desktop application.
- You need an AI tool that generates or edits code.
How to Use Enkrypt AI
- 1
Explore the extensive tutorial series available on the official Enkrypt AI website, covering everything from basic setup to advanced security and compliance features.
Who is Enkrypt AI For?
Teams shipping customer-facing chat or voice agents
Enkrypt AI helps these teams secure, audit, and approve agents before production.
Finance organizations
The platform supports compliant tax services, financial chatbots, and regulatory risk controls.
Healthcare and life sciences organizations
Guardrails and compliance testing help protect medical information and support regulated AI deployments.
Insurance organizations
Enkrypt AI helps secure customer-facing chatbots and improve compliance visibility.
Technology organizations
The platform helps assess data readiness and reduce security, compliance, and leakage risks.
Frequently Asked Questions
What happens if I exceed my credits?
Additional credits can be purchased at the applicable tier rate. Unused credits roll over up to twice the monthly allocation.
Can I switch plans?
Plans can be upgraded anytime with prorated billing. Downgrades take effect at the next billing cycle.
Do you offer annual discounts?
Annual prepayment saves approximately 10% compared with monthly billing.
What's included in the free Explore plan?
Explore includes 500 initial credits, 50 monthly credits, basic security testing, guardrails, risk dashboards, API access, and community support.
Does this support tool-using agents and MCP?
Yes. MCP Scanner risk-rates tools before connection, while MCP Gateway enforces policies on tool traffic with approval receipts and trace logs.
Do you support voice and multimodal agents?
Yes. Policies apply across text, audio, and vision inputs, including cross-modal prompt injection.
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