HiveTrace

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LLM Monitoring for your GenAI application

  • Stay One Step Ahead of Attackers
  • Continuous Content Security Monitoring
  • Instant Threat Detection
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Features

  • What is LLM Monitoring for GenAI Applications?

    Control and security for GenAI applications

  • Continuously analyze messages to identify anomalies and errors in user interactions with LLM.

  • Instantly detect and mitigate attacks targeting model behavior changes, sensitive information theft, and system prompt leakage.

    Focus Areas: Prompt injection, jailbreaks, and harmful HTML/Markdown elements

  • Clear messages from personal data to ensure compliance with privacy regulations

  • Real-Time Notifications: Get immediate alerts about security breaches via email and messengers

  • Enjoy a user-friendly interface for easy analysis of monitoring results

See HiveTrace in Action

"LLM Agent Management" Monitor all connected agents, link to applications, and assign policy sets.

New Agents overview

HiveTrace Process

step-by-step LLM monitoring process

HiveTrace Comprehensive Solution for GenAI Application Security

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  • Adaptive Token Management: Manage tokens for suspicious users effectively

  • Bidirectional Monitoring: Analyze both user messages and LLM responses

  • Customizable Analytics: Visualize analytics your way

  • System Load Monitoring: Keep an eye on system performance

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Monitoring Vectors

OWASP Top 10 for Large Language Model Applications

LLM ID
Title
Description
HiveTrace
LLM01:
2025
Prompt Injection
User interference in requests to alter results and functions of the model.
LLM03:
2025
Supply Chain
Security breaches and data manipulation vulnerabilities.
LLM04:
2025
Data and Model Poisoning
Manipulating training data for model reliability impact.
LLM05:
2025
Improper Output Handling
Lack of checks on outputs causing application vulnerabilities.
LLM06:
2025
Excessive Agency
Overuse of LLM in decision-making, exceeding safe limits.
LLM07:
2025
System Prompt Leakage
Leakage of internal system prompts revealing confidential settings.
LLM08:
2025
Vector and Embedding Weaknesses
Vulnerabilities in vector and embedding causing unpredictable errors.
LLM09:
2025
Misinformation
Generation of false or misleading information.
LLM10:
2025
Unbounded Consumption
Unlimited resource usage leading to system overload.

HiveTrace Usage Options

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