Enkrypt AI
AI security, red teaming, guardrails, and compliance evidence for enterprise AI agents and models.
Linked from enkryptai.com · checked 29 Oct
- Tool type
- AI security and compliance platform
- Made for
- Enterprise security, compliance, and AI teams
- Runs on
- Customer environment and Anaconda Platform
- Red teaming, guardrails, and evidence collection are stated to run inside the customer's own environment; Enkrypt is now part of Anaconda's AI Security & Guardrails.
What it does
Enkrypt AI takes in AI models, agents, tool connections, and MCP servers, then produces red-team test results, runtime guardrail enforcement, policy-based controls, and audit-ready compliance evidence. Its MCP Scanner inventories and tests MCP servers, and its AI Data Risk Audit checks training data, fine-tunes, and embeddings for hidden or malicious content before deployment.
People use it to test an agent before release, then apply guardrails to block prompt injection, jailbreaks, and data leakage in production while evidence collects between reviews. Its distinct feature is a single policy engine that governs red teaming, guardrails, and compliance mapped to the EU AI Act, NIST AI RMF, and SOC 2, alongside a public LLM Safety Leaderboard covering 200+ models.
It suits enterprise security, compliance, and AI engineering teams deploying autonomous agents. Access starts with a demo request or free trial, and red teaming, guardrails, and evidence collection are described as running inside the customer's own environment. Pricing is not listed on the product pages, and Anaconda acquired the company in August 2026 while stating that existing products and plans are unchanged.
What it can do
- Continuous red teaming of AI models and agents with use-case-specific attacks
- Real-time runtime guardrails against prompt injection, jailbreaks, and data leakage
- MCP server scanning and MCP gateway governance of tool connections
- Audit of training data, fine-tunes, and embeddings for hidden or malicious content
- Policy engine translating internal policies and regulations into enforceable controls
- Audit-ready compliance reports mapped to the EU AI Act and NIST AI RMF
Works with
- OpenAI (compliance integration partner for ChatGPT Enterprise)
Before you choose
- Enkrypt AI was acquired by Anaconda (announced August 4, 2026); existing products, plans, and support are stated to continue unchanged.
- Pricing is not published on the product pages; contact the company or book a demo for plan details.
- Anthropic model support is described as coming soon, not currently available.
Listed under
Get started
Demo request is the primary call to action; a free trial is also offered.
- Book a demo and bring one production agent along with the policy it must follow.
- Review red-team results and which guardrails would have stopped the findings.
- Enable guardrails and the policy engine in your own environment so evidence collects between reviews.
Plans and prices
Verify plan prices, billing basis, and trial length with Enkrypt AI before purchasing.
We couldn’t find published prices for Enkrypt AI. See their pricing page ↗
Sources for this overview
Product pages, documentation, and pricing checked 29 Oct 2026. Each source supports part of the overview; availability and prices can change.
- Enkrypt AI | World's Most Comprehensive AI Security Platform ↗www.enkryptai.com
- Advance AI with Open Source | Anaconda ↗www.anaconda.com
- Anaconda Acquires Enkrypt AI to Secure the Trillion-Token Enterprise | Anaconda ↗www.anaconda.com
- Advance AI with Open Source | Anaconda ↗www.anaconda.com
- Enkrypt AI | World's Most Comprehensive AI Security Platform ↗www.enkryptai.com
Ratings and reviews
No ratings for Enkrypt AI yet.
What’s changed
Free accountSignals
Free accountData and security
Free accountCompare with similar tools
Free accountWhere this comes from
How we research- Company website
- enkryptai.com: product, pricing and policy pages
- YC directory mirror
- Batch and company name
- Social accounts
- Accounts the company links, and its posts on X
- Human review
- Checked by a person
- knowledge_base
- manual_review
Last checked 29 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.