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Average Ratings 0 Ratings

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features
design
support

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Write a Review

Description

HOL Guard is a security layer designed for AI agents that operates on a local-first basis, monitoring the actions of an AI assistant and preemptively preventing potentially harmful activities. It functions as an intermediary between the agent and the computer, assessing tool calls and local resources for various threats, including the risk of secret and credential leaks, harmful commands, actions driven by prompt injection, and the use of compromised or altered packages, as well as risky configurations and unsafe plugins, skills, hooks, and settings. Threats that are identified can be automatically blocked, while uncertain actions are temporarily halted to seek user consent, ensuring that individuals maintain oversight. Operating entirely on the developer’s local machine, Guard does not require an internet connection and refrains from uploading any files, prompts, or sensitive information. Local evaluations are typically completed in less than 50 milliseconds, and the implementation of Guard does not necessitate modifications to current code or workflows. It is compatible with various coding agents including Claude Code, Cursor, Codex, Gemini CLI, OpenCode, Hermes, and OpenClaw, providing custom integrations that analyze actions prior to their execution. Additionally, this enhances the overall safety and reliability of AI interactions, fostering greater trust in automated processes.

Description

ZenGuard AI serves as a dedicated security platform aimed at safeguarding AI-powered customer service agents from various potential threats, thereby ensuring their safe and efficient operation. With contributions from specialists associated with top technology firms like Google, Meta, and Amazon, ZenGuard offers rapid security measures that address the risks linked to AI agents based on large language models. It effectively protects these AI systems against prompt injection attacks by identifying and neutralizing any attempts at manipulation, which is crucial for maintaining the integrity of LLM operations. The platform also focuses on detecting and managing sensitive data to avert data breaches while ensuring adherence to privacy laws. Furthermore, it enforces content regulations by preventing AI agents from engaging in discussions on restricted topics, which helps uphold brand reputation and user security. Additionally, ZenGuard features an intuitive interface for configuring policies, allowing for immediate adjustments to security measures as needed. This adaptability is essential in a constantly evolving digital landscape where threats to AI systems can emerge unexpectedly.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS) No 
ChatGPT No 
Claude Code Yes 
Cursor Yes 
Gemini No 
Gemini 1.5 Flash No 
Gemini 2.0 No 
Gemini Enterprise No 
Gemini Nano No 
Gemini Pro No 
GitHub Copilot CLI Yes 
Google AI Plus No 
Llama 2 No 
Meta AI No 
Model Context Protocol (MCP) Yes 
OpenAI Codex Yes 
OpenClaw Yes 
OpenCode Yes 
Pi Agent Yes 
ZCode Yes 

Integrations

Amazon Web Services (AWS) Yes 
ChatGPT Yes 
Claude Code No 
Cursor No 
Gemini Yes 
Gemini 1.5 Flash Yes 
Gemini 2.0 Yes 
Gemini Enterprise Yes 
Gemini Nano Yes 
Gemini Pro Yes 
GitHub Copilot CLI No 
Google AI Plus Yes 
Llama 2 Yes 
Meta AI Yes 
Model Context Protocol (MCP) No 
OpenAI Codex No 
OpenClaw No 
OpenCode No 
Pi Agent No 
ZCode No 

Pricing Details

$4.99 per month
Free Trial No 
Free Version Yes 

Pricing Details

$20 per month
Free Trial No 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

HOL

Founded

2024

Country

United States

Website

hol.org/guard

Vendor Details

Company Name

ZenGuard AI

Founded

2023

Country

United States

Website

zenguard.ai/

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Product Features

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