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Average Ratings 0 Ratings

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ease
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

WebOrion Protector Plus is an advanced firewall powered by GPU technology, specifically designed to safeguard generative AI applications with essential mission-critical protection. It delivers real-time defenses against emerging threats, including prompt injection attacks, sensitive data leaks, and content hallucinations. Among its notable features are defenses against prompt injection, protection of intellectual property and personally identifiable information (PII) from unauthorized access, and content moderation to ensure that responses from large language models (LLMs) are both accurate and relevant. Additionally, it implements user input rate limiting to reduce the risk of security vulnerabilities and excessive resource consumption. Central to its robust capabilities is ShieldPrompt, an intricate defense mechanism that incorporates context evaluation through LLM analysis of user prompts, employs canary checks by integrating deceptive prompts to identify possible data breaches, and prevents jailbreak attempts by utilizing Byte Pair Encoding (BPE) tokenization combined with adaptive dropout techniques. This comprehensive approach not only fortifies security but also enhances the overall reliability and integrity of generative AI systems.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon Bedrock No 
Amazon Web Services (AWS) No 
Antigravity CLI Yes 
Azure OpenAI Service No 
ChatGPT No 
Claude No 
Claude Code Yes 
Gemini Enterprise Agent Platform No 
GitHub Yes 
GitHub Copilot CLI Yes 
Google Cloud Platform No 
Hermes Agent Yes 
Kimi Yes 
Llama 2 No 
Microsoft Azure No 
Model Context Protocol (MCP) Yes 
OpenAI No 
OpenAI Codex Yes 
OpenClaw Yes 
OpenCode Yes 

Integrations

Amazon Bedrock Yes 
Amazon Web Services (AWS) Yes 
Antigravity CLI No 
Azure OpenAI Service Yes 
ChatGPT Yes 
Claude Yes 
Claude Code No 
Gemini Enterprise Agent Platform Yes 
GitHub No 
GitHub Copilot CLI No 
Google Cloud Platform Yes 
Hermes Agent No 
Kimi No 
Llama 2 Yes 
Microsoft Azure Yes 
Model Context Protocol (MCP) No 
OpenAI Yes 
OpenAI Codex No 
OpenClaw No 
OpenCode No 

Pricing Details

$4.99 per month
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial Yes 
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 Yes 
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

cloudsineAI

Founded

2012

Country

Singapore

Website

www.cloudsine.tech/products/weborion-protector-plus/

Product Features

Product Features

Firewall

Alerts / Notifications No 
Application Visibility / Control No 
Automated Testing No 
Intrusion Prevention No 
LDAP Integration No 
Physical / Virtual Environment No 
Sandbox / Threat Simulation No 
Threat Identification No 

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