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What is TAWA GUARD?

TAWA GUARD is an AI-driven security solution designed for applications that utilize large language models and AI agents. It evaluates a range of content types—including prompts, documents, emails, web pages, and outputs from various tools—making decisions to allow, flag, or block content based on predefined policies. By providing an API and comprehensive integrations for developers, teams can easily embed content assessments into their agent workflows. The platform includes an administrative dashboard that records all decisions and explains the rationale behind each approval or rejection. Additionally, security incidents generated by the system can be forwarded to SIEM platforms like Splunk, IBM QRadar, Microsoft Sentinel, and Elastic for deeper analysis. Tailored for teams involved in the development or oversight of AI assistants and agents that engage with user-generated or external content, it presents a free Developer tier that accommodates up to 5 million Tawa Units monthly. For organizations needing more robust capabilities, a customizable self-hosted Enterprise deployment is available, catering to a variety of operational requirements. This versatility makes TAWA GUARD an essential tool for ensuring secure interactions in AI-driven environments.

What is AgentFox?

AgentFox is an open-source control plane tailored for the creation and oversight of AI agents. It methodically organizes agent repositories while establishing a connection between agents, tools, MCP servers, skills, and handoffs, all without executing code. For the frameworks it accommodates, it upholds tool-access policies, verifies tool arguments against set thresholds, and possesses the ability to suspend or reject actions until human review is conducted. Runtime assessments evaluate the interactions between models and tools to identify possible prompt injection threats and the risk of exposing confidential or personal data. Furthermore, AgentFox can function in observation mode before implementing enforcement measures, and it carefully records policy decisions in a hash-linked audit trail. Developers can choose to install AgentFox via Python or deploy it through a Docker Compose stack, making it versatile for different environments. Its target audience comprises engineering and security teams that seek thorough visibility, control mechanisms, and reliable documentation for managing AI agent activities. Released under the Apache-2.0 license, AgentFox also provides a hosted preview for potential users. This feature enhances accessibility for teams striving to improve their AI workflows with effective management solutions, ultimately supporting better collaboration and security in AI development.

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Integrations Supported

Model Context Protocol (MCP)
Claude Code
Codex CLI
IBM QRadar SIEM
Microsoft Sentinel
OpenAI Agents SDK
Vercel AI SDK

Integrations Supported

Model Context Protocol (MCP)

API Availability

Has API

API Availability

Has API

Pricing Information

£0/month
The Developer tier is free (£0/month) and includes up to 5 million Tawa Units per month.
Free Version

Pricing Information

$0
Self-hosted software is free under Apache-2.0. The hosted preview is free while in preview; paid plans are not yet priced.
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Tawa Guard

Date Founded

2026

Company Location

United Kingdom

Company Website

tawaguard.com

Company Facts

Organization Name

Nometria Inc

Date Founded

2025

Company Location

United States

Company Website

useagentfox.com

Categories and Features

AI Agent Security

Not specified

Categories and Features

AI Agent Security

Not specified

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