AI TOOL PROFILE

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.
  • Security
  • AI Security
  • 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.

At a glance

Best for
Enterprise companies, Mid-market companies, Regulated industries, AI development teams
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
Visit Enkrypt AIEnkrypt AI software interface screenshot

How AI is used

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.

Integrations

  • Slack
  • Microsoft Teams
  • PagerDuty
  • Opsgenie
  • Jira
  • ServiceNow
  • Splunk
  • Sentinel
  • Datadog

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

More tools in Security

Other published listings in the Security category.

Browse all tools in Security

More tools in the AI Security software type

Related listings that share the same software type for comparison and shortlisting.

Browse all AI Security software type tools