Enkrypt AI Review: AI Security and Governance Platform
Enkrypt AI helps mid-market and enterprise companies secure their AI agents and LLMs. It is designed for organizations in regulated industries like finance and insurance that need to maintain compliance and risk oversight.
At a glance
- Category
- Browse Security tools
- Best for
- Enterprise companies, Mid-market companies, Regulated industries, AI development teams
- Pricing
- Pricing starts with a free Explore tier. Paid plans include Launch ($149/month or $134/month billed annually), Scale ($1,499/month or $1,349/month billed annually), and custom Enterprise pricing.
- Key use cases
- Securing Customer-Facing Agents, AI Compliance and Auditing, MCP Server Governance, Pre-release Security Testing
- Integrations
- Slack, Microsoft Teams, PagerDuty, Opsgenie, Jira
- Official website
- Visit Enkrypt AI official website
Enkrypt AI provides a security layer for businesses deploying generative AI, large language models (LLMs), and AI agents. The platform is designed to identify vulnerabilities through red teaming and supports risk detection using security guardrails across text, audio, and vision modalities.
It is aimed at enterprise and mid-market companies, particularly those in technology, finance, life sciences, and insurance. The tool supports workflows from pre-release testing in CI/CD pipelines to runtime monitoring and compliance auditing.
Buyers should confirm their specific deployment needs, as VPC or on-premise installation and RBAC are available only on the Enterprise plan. The free tier is designed for basic evaluation and spot checks.
Key Features
Agent Red Teaming
Simulates adversarial attacks to identify failure modes in agents, RAG systems, and tool ecosystems.
Security Guardrails
Provides risk detection and policy enforcement to block or modify unsafe AI outputs.
MCP Scanner and Gateway
Scans Model Context Protocol (MCP) servers for vulnerabilities and manages a registry of trusted tools.
PII Detection & Masking
Identifies and masks personally identifiable information to help protect sensitive data.
Compliance Mapping
Supports alignment with standards such as OWASP, NIST, and the EU AI Act.
Multimodal Coverage
Supports security monitoring across text, vision, and audio inputs and outputs.
Use Cases
Securing Customer-Facing Agents
Implementing guardrails to help prevent toxic content or brand-risk outputs in AI chatbots.
AI Compliance and Auditing
Generating audit logs and compliance reports in PDF, CSV, and JSON formats for regulatory reviews.
MCP Server Governance
Scanning internal and third-party MCP servers to help identify shadow AI adoption and privilege escalation.
Pre-release Security Testing
Integrating red teaming as a gate in CI/CD pipelines to identify vulnerabilities before deployment.
Best For
- Enterprise companies
- Mid-market companies
- Regulated industries
- AI development teams
Integrations
- Slack
- Microsoft Teams
- PagerDuty
- Opsgenie
- Jira
- ServiceNow
- Splunk
- Sentinel
- Datadog
Pricing
Pricing starts with a free Explore tier. Paid plans include Launch ($149/month or $134/month billed annually), Scale ($1,499/month or $1,349/month billed annually), and custom Enterprise pricing.
FAQ
What is included in the free Enkrypt AI plan?
- The Explore plan is free and includes 500 initial credits, 50 monthly credits, basic red team testing, security guardrails, and risk dashboards.
Does Enkrypt AI support on-premises deployment?
- Yes, VPC and on-premises deployment options are available for customers on the Enterprise plan.
What compliance standards does the platform support?
- The platform is designed to help users align with OWASP, NIST, and the EU AI Act, and the company is SOC 2 Type II compliant.
Source category: Security
Source subcategory: AI Security
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Categories
Software Type
How AI is used
Enkrypt AI is an AI security platform for mid-market and enterprise companies building LLM-powered applications. It supports risk detection through red teaming and runtime protection via security guardrails. Deployment flexibility for VPC/on-prem is limited to the Enterprise tier.
Pros & Cons
Pros
- Supports multimodal AI including text, audio, and vision.
- Offers an open-source MCP gateway for initial deployment.
- SOC 2 Type II compliant.
- Provides reproduction steps for identified vulnerabilities.
Cons
- The free Explore plan provides 50 credits per month, which may be insufficient for full red team assessments.
- VPC and on-premises deployment options are limited to the Enterprise tier.
- RBAC is only available on the Enterprise plan.
