AI red teaming & LLM evaluation

Enkrypt AI: AI red teaming platform with guardrails

Enkrypt AI is an AI red teaming platform with guardrails from Anaconda. It is a commercial product offered as: SaaS, API, Library, On-prem. Pricing model: freemium.

  • Last reviewed
Commercial Freemium Layer 4: Testing and red teaming

Best for

Security and ML teams that want an API-driven red teaming service with scored reports and a free plan to start

Ownership

Anaconda announced on August 4, 2026 that it has acquired Enkrypt AI. Enkrypt AI remains available with no changes to existing products, plans or support. Source, checked October 21, 2026: anaconda.com (opens in a new tab)

Consider instead if

  • You want a free open-source scanner you run yourself, without credits or a vendor account. See garak.

What Enkrypt AI does

Enkrypt AI is a commercial platform for AI security testing. Its red teaming feature generates adversarial prompts for the risk categories you choose, runs them against a foundation model, chatbot or agent, judges the responses and returns a scored report with attack success rates by category and attack method. The docs list 21 attack techniques, including adaptive multi-turn jailbreaks, and image and audio attacks for multimodal targets. Runs can be scoped to frameworks such as the OWASP LLM Top 10, NIST AI RMF and MITRE ATLAS. You start runs from an API or a Python SDK. The docs also cover a guardrails API and an AI proxy. The pricing page lists a free plan, paid plans and Enterprise VPC or on-prem deployment. Anaconda announced on August 4, 2026 that it has acquired Enkrypt AI.

This summary is our own wording of the sourced facts on this page.

Key facts

Each value links to the page that states it, with the date we checked it.

Ownership
Anaconda announced on August 4, 2026 that it has acquired Enkrypt AI. Enkrypt AI remains available with no changes to existing products, plans or support. Source, checked October 21, 2026: anaconda.com (opens in a new tab)
Latest release
Not documented in the sources we checked
Pricing model
Freemium: Explore: $0, free forever, 500 starting credits. Launch $149 and Scale $1,499 per month, billed monthly. Compliance (OWASP, NIST, EU AI Act) from Launch, multi-modal red teaming from Scale. Enterprise: custom. (as listed on October 21, 2026; check the vendor for current pricing) Source, checked October 21, 2026: enkryptai.com (opens in a new tab)
Security page
Not documented in the sources we checked
Attestations or disclosure
Not documented in the sources we checked

Capabilities

As documented by the vendor or project. The tag is our label from a controlled vocabulary.

Integrations

Where Enkrypt AI fits in our AI security layers

Our analysis

Our editorial model, not a standard. The primary layer follows the category, except for tools whose main documented job is detection and response; other layers rest on a capability the sources document. How the model works.

AI security layers that Enkrypt AI covers, with the role, how each applies and what it rests on
LayerRoleHow it appliesBased on
L4 Testing Testing and red teaming Primary Attack and evaluate models, apps and agents on purpose, before release and after every change, to find what the other layers miss. Follows its category, AI red teaming & LLM evaluation

OWASP LLM Top 10 mapping

Our analysis

The risk list is OWASP's (Top 10 for LLM Applications, 2025). The mapping is our analysis, and each row rests on a capability the sources document.

No OWASP LLM risk is mapped to this tool in our analysis.

Alternatives and related tools

More in AI red teaming & LLM evaluation, ranked within the category by Coverage Score.

garak

NVIDIA

Open sourceApache-2.0
  • CLI
  • Library
  • Self-hosted

Probes language models and LLM apps for prompt injection, jailbreaks, data leakage and more.

Best for: Teams that want a free command-line scanner they can point at any model or LLM endpoint before release

Coverage Score 82 out of 100
  • LLM01 Prompt Injection
  • LLM02 Sensitive Information Disclosure
  • LLM09 Misinformation

Reviewed

Giskard

Giskard AI

Open sourceApache-2.0 Freemium
  • Library
  • Self-hosted
  • SaaS
  • On-prem

Generates adversarial test suites for LLM agents and RAG apps, runs them and reports failures by threat type.

Best for: Python teams that want a free library to scan an LLM agent or RAG app for prompt injection and harmful output, and to write pass or fail checks for it

Coverage Score 81 out of 100
  • LLM01 Prompt Injection
  • LLM02 Sensitive Information Disclosure
  • LLM09 Misinformation

Reviewed

Promptfoo

OpenAI (Promptfoo)

Open sourceMIT Freemium
  • CLI
  • Library
  • Self-hosted
  • SaaS
  • On-prem

Runs evals and red team scans against LLM apps from a CLI or CI pipeline and writes a vulnerability report.

Best for: Developer teams that want one open-source CLI for both prompt evals and red teaming, run locally and in CI

Coverage Score 80 out of 100
  • LLM01 Prompt Injection
  • LLM02 Sensitive Information Disclosure
  • LLM09 Misinformation

Reviewed

Enkrypt AI FAQ

Does Enkrypt AI have a free plan?

The pricing page lists an Explore plan at $0, free forever, with 500 starting credits. Launch is $149 per month and Scale is $1,499 per month. Check the vendor for current pricing.

What can you point Enkrypt AI red teaming at?

The docs name three target types: a foundation model, a chatbot or an agent. Agent targets need tool definitions.

Which frameworks can a run be scoped to?

The API reference lists identifiers including owasp_llm_top10, nist_ai_rmf, mitre_atlas, eu_ai_act and iso_42001, among others.

Who owns Enkrypt AI?

Anaconda announced on August 4, 2026 that it has acquired Enkrypt AI, and its press release says Enkrypt AI remains available with no changes to existing products, plans or support. Neither Anaconda page gives a closing date.

Key facts you can cite

We have no commercial relationship with Anaconda (Enkrypt AI).

Sources & last reviewed

Last reviewed . We compile from the vendors' own public pages and repositories and we do not run the products. Source links open in a new tab. Found a mistake? Report a correction.