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ease
features
design
support

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Description

AQtive Guard serves as a comprehensive cybersecurity solution designed to assist organizations in safeguarding and overseeing their cryptographic assets alongside non-human identities (NHIs) like AI agents, keys, certificates, algorithms, and machine identities throughout their IT infrastructure. The platform provides ongoing discovery and immediate visibility into both NHIs and cryptographic elements, seamlessly integrating with current security tools, cloud services, and repositories to deliver a cohesive understanding of security status. By leveraging cutting-edge AI and extensive quantitative models, AQtive Guard evaluates vulnerabilities, ranks risks, and presents actionable insights with automated remediation workflows that address issues and uphold policies such as credential rotation and certificate renewal. Furthermore, the platform ensures compliance with the latest standards, including emerging NIST cryptographic protocols, while facilitating the lifecycle management of cryptographic assets to mitigate risks associated with both present and future threats. In this way, AQtive Guard not only fortifies security but also enhances organizational resilience against evolving cyber challenges.

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.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AutogenAI
Claude
Claude Code
Cursor
GitHub
GitHub Copilot CLI
Google
Google Cloud Platform
Grok
Hugging Face
Kimi
LangChain
Microsoft 365
Model Context Protocol (MCP)
OpenAI
OpenAI Codex
OpenClaw
OpenCode
Pi Agent
Qualys File Inventory Monitoring (FIM)

Integrations

AutogenAI
Claude
Claude Code
Cursor
GitHub
GitHub Copilot CLI
Google
Google Cloud Platform
Grok
Hugging Face
Kimi
LangChain
Microsoft 365
Model Context Protocol (MCP)
OpenAI
OpenAI Codex
OpenClaw
OpenCode
Pi Agent
Qualys File Inventory Monitoring (FIM)

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$4.99 per month
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

SandboxAQ

Founded

2021

Country

United States

Website

www.aqtiveguard.com

Vendor Details

Company Name

HOL

Founded

2024

Country

United States

Website

hol.org/guard

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