Overview
Enkrypt AI provides an enterprise-grade AI security and compliance platform focused on Detect, Remove, Monitor, and Comply across GenAI deployments (LLMs, RAGs, agents, multimodal apps). Core capabilities include continuous red-teaming and risk discovery (Detect), real-time guardrails and policy enforcement via an AI proxy (Remove), real-time observability and audit trails (Monitor), and translating policies/regulations into automated guardrails with auditable proof (Comply). Underlying assets include a proprietary threat database, a large red-team dataset (100k+ goals and millions of adversarial prompts), and a risk taxonomy (300+ categories). Integrations are designed to work with any LLM/provider, RAG, chatbots, agents, and app frameworks; the platform supports cloud and on-premises deployments. Notable products and solutions include MCP Scanner, Secure MCP Gateway, AI Proxy, Guardrails, Red Team services, and the LLM Safety Leaderboard. Documentation and developer resources include a docs hub with quickstarts, API references (Guardrails API, Red Team API, Models API, Deployments API, AI Proxy API, Leaderboard API), a Python SDK, OpenAPI schema, and a Postman collection. Pricing on the site shows a free Starter option and custom Enterprise plans; no public per-seat or per-usage dollar amounts are published. Company provenance: founded in 2022, founders/leadership listed on site include Sahil Agarwal (Co‑Founder & CEO) and Prashanth Harshangi (Co‑Founder & CTO), with other leaders listed on About Us. Reported seed funding in press coverage is approximately $2.35M. Legal and policy highlights on the site include Terms updated Sept 18, 2024 (strict IP protections, bans on scraping/mining without consent, broad license language over user-shared content, monitoring and removal rights, liability limits) and platform statements that customer data is not used for model training. Contact channels include a demo/contact request form and a general email. Recommended next steps: sign up for the free Starter trial for quick evaluation, request a demo and sales/contract details for enterprise procurement, review the LLM Safety Leaderboard for model comparisons, and use the docs hub for engineering integration.
Key Features
Detect
Continuous red-teaming and risk discovery with detectors for prompt injection, PII, toxicity, hallucination, model inversion, bias, malware, jailbreaks, and more.
Remove
Real-time guardrails and policy enforcement via an AI proxy to intercept and mitigate risky inputs and outputs.
Monitor
Real-time observability, alerts, and audit trails designed for regulator readiness and ongoing detection.
Comply
Translate policies and regulations into automated guardrails and produce auditable proof for compliance requirements.
Proprietary Threat Assets
Proprietary threat database, large red-team dataset (100k+ goals, millions of adversarial prompts), and a 300+ category risk taxonomy.
Integrations & Deployments
Designed to work with any LLM/provider, RAG, chatbots, agents, and app frameworks; supports cloud and on-premises deployments.
Who Can Use This Tool?
- Security Engineers:Integrate guardrails, run red-team tests, and operationalize model protections via APIs and SDKs.
- Enterprises / Procurement:Evaluate enterprise-grade compliance, request demos, negotiate SLAs, and obtain custom pricing.
- Developers / Ops:Use docs, quickstarts, SDKs, and API references to implement proxy protections and monitoring.
Pricing Plans
Free starter plan for small teams with basic LLM protection and support.
- ✓Basic LLM protection
- ✓Basic chat protection
- ✓Email support / free trial
Custom enterprise plan with dedicated account manager and priority support.
- ✓Enterprise-grade LLM protection
- ✓Dedicated account manager
- ✓24/7 priority support with SLA
- ✓Custom deployment and contract terms
Pros & Cons
✓ Pros
- ✓Comprehensive enterprise-focused security stack covering detection, removal, monitoring, and compliance.
- ✓Large proprietary red-team dataset and threat database for robust risk discovery.
- ✓Real-time guardrails and AI proxy for intercepting risky behavior.
- ✓LLM Safety Leaderboard provides model-level safety benchmarking across multiple categories.
- ✓Developer-oriented docs, APIs, Python SDK, and OpenAPI/Postman artifacts for integrations.
✗ Cons
- ✗No public enterprise pricing or per-seat/usage rates; requires contacting sales for quotes.
- ✗SLA details, SOC2/compliance certifications, and specific deployment terms are not published and require sales/legal confirmation.
- ✗Some site pages show placeholders or nondisclosed monthly amounts; exact commercial terms require follow-up.
Compare with Alternatives
| Feature | Enkrypt AI | Holistic AI | Dynamo AI |
|---|---|---|---|
| Pricing | N/A | N/A | N/A |
| Rating | 8.2/10 | 8.3/10 | 8.3/10 |
| Detection Coverage | Yes | Yes | Yes |
| Automated Removal | Yes | Partial | Partial |
| Monitoring Granularity | Fine-grained telemetry | Real-time granular monitoring | Fine-grained observability |
| Audit Readiness | Yes | Yes | Yes |
| Guardrail Enforcement | Yes | Yes | Yes |
| Agent Observability | Yes | Partial | Partial |
| Integration Surface | Broad enterprise integrations | Wide connector ecosystem | Broad deployment and integrations |
| Developer APIs | Yes | Yes | Yes |
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