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Average Ratings 0 Ratings
Description
The NVIDIA Open Agent Safety Platform serves as an open reference framework designed to monitor and manage the behavior of AI agents continuously, ensuring that organizations can maintain agents that are isolated, observable, auditable, and operate within set boundaries. This platform integrates real-time governance, ongoing threat detection, and the enforcement of policies through hardware isolation, providing robust protection for enterprise AI agents from the initial testing phases all the way to deployment. The NVIDIA OpenShell contributes to this by offering an open-source runtime that differentiates the execution of agents from their access to data, tools, and outside systems, utilizing sandboxed environments and a zero-trust policy approach to strictly regulate agents' visibility, actions, and interactions. Policies are enforced externally to the agent process, effectively mitigating the risks associated with unpredicted behavior. Furthermore, NVIDIA Sentry enhances security by adding an extra layer that meticulously monitors agent requests and responses, verifies agent identities, and continuously manages access to data, tools, APIs, and services while also having the capability to isolate agents when necessary. This comprehensive approach ensures that organizations can safeguard their AI agents while promoting a secure and controlled operational environment.
Description
TAWA GUARD is a security solution powered by AI that focuses on applications utilizing large language models and AI agents. It assesses various types of content, such as prompts, documents, emails, web pages, and outputs from tools, providing decisions to allow, flag, or block based on established policies. Through its API and comprehensive developer integrations, teams can seamlessly incorporate content evaluations into their agent workflows. The platform features an administrative dashboard that not only logs all decisions made but also clarifies the reasons behind content approvals or rejections. Furthermore, security events generated by the service can be sent to SIEM platforms like Splunk, IBM QRadar, Microsoft Sentinel, and Elastic for further analysis. Tailored for teams involved in the development or management of AI assistants and agents that interact with user-generated or external content, it offers a free Developer tier that allows for up to 5 million Tawa Units each month. For organizations requiring more extensive capabilities, a self-hosted Enterprise deployment can be arranged, ensuring a customizable experience for diverse operational needs.
API Access
Has API
Yes
API Access
Has API
Yes
Screenshots View All
No images available
Integrations
Claude Code
No
Codex CLI
No
IBM QRadar SIEM
No
Microsoft Sentinel
No
Model Context Protocol (MCP)
No
NVIDIA DOCA
Yes
NVIDIA OpenShell
Yes
OpenAI Agents SDK
No
Vercel AI SDK
No
Integrations
Claude Code
Yes
Codex CLI
Yes
IBM QRadar SIEM
Yes
Microsoft Sentinel
Yes
Model Context Protocol (MCP)
Yes
NVIDIA DOCA
No
NVIDIA OpenShell
No
OpenAI Agents SDK
Yes
Vercel AI SDK
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
£0/month
The Developer tier is free (£0/month) and includes up to 5 million Tawa Units per month.
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
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
Yes
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
NVIDIA
Founded
1993
Country
United States
Website
www.nvidia.com/en-us/solutions/ai/agent-safety/
Vendor Details
Company Name
Tawa Guard
Founded
2026
Country
United Kingdom
Website
tawaguard.com