Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • BAND Reviews & Ratings
    3 Ratings
    Company Website
  • cside Reviews & Ratings
    37 Ratings
    Company Website
  • Gemini Enterprise Agent Platform Reviews & Ratings
    999 Ratings
    Company Website
  • Kitecyber Reviews & Ratings
    82 Ratings
    Company Website
  • kama.ai Reviews & Ratings
    9 Ratings
  • DataHub Reviews & Ratings
    10 Ratings
    Company Website
  • Adaptive Security Reviews & Ratings
    91 Ratings
    Company Website
  • Ethena Reviews & Ratings
    131 Ratings
    Company Website
  • Athena Security Reviews & Ratings
    5 Ratings
    Company Website
  • Daylight Reviews & Ratings
    11 Ratings
    Company Website

What is Enkrypt AI?

Enkrypt AI is an agentic AI security and compliance platform that helps enterprises identify, mitigate, monitor, and govern risks associated with AI models, applications, agents, and supporting infrastructure. The platform is designed to cover AI security threats and compliance requirements across different models and modalities while allowing organizations to continuously evaluate AI systems as they evolve. Its dynamic red teaming capabilities generate use-case-specific attacks that adapt in real time to uncover security, safety, compliance, and brand risks beyond those identified through static testing. Enkrypt AI can test for threats including prompt injection, jailbreaking, data leakage, model inversion, adversarial attacks, drip attacks, unsafe actuation, policy violations, and misuse by end users. It also evaluates AI quality and safety risks such as hallucinations, model drift, bias and discrimination, toxic content, deceptive behavior, misleading outputs, lack of explainability, and brand misalignment. Real-time guardrails detect and stop risky interactions as they occur while adapting to new prompts, behaviors, and emerging threats. Continuous monitoring gives security and compliance teams visibility into AI risks, protection effectiveness, and areas requiring action as models and applications change. Enkrypt AI's compliance functionality converts internal policies and external regulatory requirements into automated guardrails and generates evidence that can support audits and compliance programs. The product portfolio includes Agent Red Teaming, Agent Guardrails, an Agent Policy Engine, AI Data Risk Audit, MCP Scanner, and MCP Gateway for protecting AI agents, their data, and their connections to tools and infrastructure. Enkrypt AI supports use cases including customer-facing AI agents, frontier models, AI compliance and auditing, third-party AI risk, secure AI development, data risk assessment, and MCP security.

What is Deepchecks?

Quickly deploy high-quality LLM applications while upholding stringent testing protocols. You shouldn't feel limited by the complex and often subjective nature of LLM interactions. Generative AI tends to produce subjective results, and assessing the quality of the output regularly requires the insights of a specialist in the field. If you are in the process of creating an LLM application, you are likely familiar with the numerous limitations and edge cases that need careful management before launching successfully. Challenges like hallucinations, incorrect outputs, biases, deviations from policy, and potentially dangerous content must all be identified, examined, and resolved both before and after your application goes live. Deepchecks provides an automated solution for this evaluation process, enabling you to receive "estimated annotations" that only need your attention when absolutely necessary. With more than 1,000 companies using our platform and integration into over 300 open-source projects, our primary LLM product has been thoroughly validated and is trustworthy. You can effectively validate machine learning models and datasets with minimal effort during both the research and production phases, which helps to streamline your workflow and enhance overall efficiency. This allows you to prioritize innovation while still ensuring high standards of quality and safety in your applications. Ultimately, our tools empower you to navigate the complexities of LLM deployment with confidence and ease.

Media

No images available

Media

Integrations Supported

Anaconda
Claude Code
CrewAI
Cursor
Kilo Code
Kiro
LangGraph
Model Context Protocol (MCP)
OpenAI Agents SDK
Vercel AI SDK

Integrations Supported

Amazon SageMaker
Python
ZenML

API Availability

API Availability

Pricing Information

Contact us for pricing
Free Trial Offered?

Pricing Information

$1,000 per month
Free Trial Offered?

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

Anaconda

Date Founded

2022

Company Location

United States

Company Website

www.enkryptai.com

Company Facts

Organization Name

Deepchecks

Date Founded

2019

Company Location

United States

Company Website

deepchecks.com

Categories and Features

AI Agent Security

Not specified

AI Governance

Not specified

AI Guardrails

Not specified

AI Security

Not specified

MCP Gateways

Not specified

Categories and Features

AI Development

Not specified

AI Guardrails

Not specified

AIOps

Not specified

LLM Evaluation

Not specified

Popular Alternatives

Popular Alternatives