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

  • Anaconda Reviews & Ratings
    625 Ratings
    Company Website
  • BAND Reviews & Ratings
    3 Ratings
    Company Website
  • cside Reviews & Ratings
    37 Ratings
    Company Website
  • Gemini Enterprise Agent Platform Reviews & Ratings
    1,161 Ratings
    Company Website
  • Kitecyber Reviews & Ratings
    87 Ratings
    Company Website
  • kama.ai Reviews & Ratings
    9 Ratings
  • DataHub Reviews & Ratings
    10 Ratings
    Company Website
  • Adaptive Security Reviews & Ratings
    152 Ratings
    Company Website
  • Ethena Reviews & Ratings
    131 Ratings
    Company Website
  • Athena Security Reviews & Ratings
    5 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 Amazon Bedrock Guardrails?

Amazon Bedrock Guardrails serves as a versatile safety mechanism designed to enhance compliance and security for generative AI applications created on the Amazon Bedrock platform. This innovative system enables developers to establish customized controls focused on safety, privacy, and accuracy across various foundation models, including those hosted on Amazon Bedrock, as well as fine-tuned or self-hosted variants. By leveraging Guardrails, developers can consistently implement responsible AI practices, evaluating user inputs and model outputs against predefined policies. These policies incorporate a range of protective measures like content filters to prevent harmful text and imagery, topic restrictions, word filters to eliminate inappropriate language, and sensitive information filters to redact personally identifiable details. Additionally, Guardrails feature contextual grounding checks that are essential for detecting and managing inaccuracies or hallucinations in model-generated responses, thus ensuring a more dependable interaction with AI technologies. Ultimately, the integration of these safeguards is vital for building trust and accountability in the field of AI development while also encouraging developers to remain vigilant in their ethical responsibilities.

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

Noma

API Availability

API Availability

Pricing Information

Contact us for pricing
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Anaconda

Date Founded

2022

Company Location

United States

Company Website

www.enkryptai.com

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/bedrock/guardrails/

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

Popular Alternatives

Popular Alternatives