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What is HoneyTrace?

Insider threats possess the capability to maneuver through internal systems and have access to confidential security protocols, enabling them to retrieve or transfer essential data without raising any alarms. Such incidents of data breaches and theft can go undetected for long durations, sometimes extending for years at a time. HoneyTrace offers a robust solution by allowing you to keep an eye on your sensitive data both inside and outside your network's perimeters, aiding in the tracking of its movement and evaluating potential leakage risks. Functioning in cloud environments as well as in areas where oversight is limited, HoneyTrace is ideal for ensuring that your employees and partners manage your vital data responsibly. Its intuitive design integrates smoothly with your existing cybersecurity framework, negating the need for additional software installations or management tasks. Additionally, HoneyTrace generates artificial files that are kept in locations accessible only to authorized users; any unauthorized attempt to access these files activates a tracer, sending you an immediate notification of such events. This enhanced security measure guarantees that any illicit access is quickly detected, providing an extra layer of protection for your invaluable information. Ultimately, HoneyTrace represents a proactive approach to safeguarding sensitive data against the risks posed by insider threats.

What is HoneyHive?

AI engineering has the potential to be clear and accessible instead of shrouded in complexity. HoneyHive stands out as a versatile platform for AI observability and evaluation, providing an array of tools for tracing, assessment, prompt management, and more, specifically designed to assist teams in developing reliable generative AI applications. Users benefit from its resources for model evaluation, testing, and monitoring, which foster effective cooperation among engineers, product managers, and subject matter experts. By assessing quality through comprehensive test suites, teams can detect both enhancements and regressions during the development lifecycle. Additionally, the platform facilitates the tracking of usage, feedback, and quality metrics at scale, enabling rapid identification of issues and supporting continuous improvement efforts. HoneyHive is crafted to integrate effortlessly with various model providers and frameworks, ensuring the necessary adaptability and scalability for diverse organizational needs. This positions it as an ideal choice for teams dedicated to sustaining the quality and performance of their AI agents, delivering a unified platform for evaluation, monitoring, and prompt management, which ultimately boosts the overall success of AI projects. As the reliance on artificial intelligence continues to grow, platforms like HoneyHive will be crucial in guaranteeing strong performance and dependability. Moreover, its user-friendly interface and extensive support resources further empower teams to maximize their AI capabilities.

Media

Media

Integrations Supported

Integrations Supported

Amazon Web Services (AWS)
Azure Synapse Analytics
Codestral Mamba
Databricks
Datadog
Gemini 1.5 Pro
Gemini 2.0
Gemini Nano
Gemini Pro
JavaScript
LlamaIndex
Mistral Large
NVIDIA DRIVE
Pinecone
Pinecone Rerank v0
Pixtral Large
Redis
Snowflake
Together AI

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Penten

Date Founded

2014

Company Location

Australia

Company Website

www.penten.com/applied-ai/honeytrace/

Company Facts

Organization Name

HoneyHive

Date Founded

2022

Company Location

United States

Company Website

www.honeyhive.ai/

Categories and Features

Deception Technology

Not specified

Categories and Features

LLM Evaluation

Not specified

Prompt Engineering

Not specified

Prompt Management

Not specified

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