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Average Ratings 0 Ratings
Description
GuardionAI serves as an Agent and MCP Security Gateway, delivering comprehensive security for AI agents and Model Context Protocol tools that interact with enterprise data. Positioned within the execution path, it effectively identifies and redacts sensitive information, implements protective measures, and offers enhanced visibility into activities that conventional SIEM, DLP, and identity frameworks typically miss. Every action performed by agents is meticulously scrutinized, enforced, and logged at the protocol level, encompassing AI agents, LLM applications, RAG systems, chatbots, coding assistants, MCP servers, internal applications, databases, operating systems, and cloud infrastructures. GuardionAI is designed to counteract critical AI vulnerabilities including prompt injection, system overrides, web-based assaults, MCP tool tampering, malicious code execution, exposure of NSFW content, leakage of PII and credentials, unauthorized access to confidential data, off-topic drift, and breaches of access control, all aligned with the OWASP LLM Top 10 and agentic AI threat frameworks. Notably, the gateway offers a robust four-layer protection system, ensuring that organizations can safeguard their AI assets more effectively than ever before. This multifaceted approach not only enhances security but also empowers teams with the insights needed to navigate the complexities of modern AI environments.
Description
Notenic serves as a runtime orchestration and governance platform aimed at managing and securing autonomous AI agents, also known as "digital labor," in real-time scenarios where failures could lead to significant regulatory, legal, or operational repercussions. Functioning as an infrastructure layer, it integrates directly into the execution path of AI systems to enforce strict governance protocols prior to any interaction with systems of record, thus avoiding the limitations of post-output filters or controls applied at the prompt level. The platform incorporates a zero-trust runtime architecture characterized by foundational principles such as zero-persistence, which ensures no data is retained after each session, and execution-path control that enforces policies right at the moment actions are taken. This design also emphasizes independence from model context, effectively preventing any adversarial inputs from compromising governed behavior. In addition, Notenic offers a comprehensive control plane that encompasses the management of AI agents, treating them as operational units with clearly defined roles and appropriate oversight, which enhances organizational efficiency and accountability. This robust framework ultimately ensures that AI operations are conducted within a secure and compliant environment.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Meta AI
Yes
OpenAI
Yes
Amazon Web Services (AWS)
No
Claude
No
Claude Code
Yes
CrewAI
Yes
Databricks
No
Gemini
Yes
GitHub Copilot
Yes
Helicone
Yes
Integrations
Meta AI
Yes
OpenAI
Yes
Amazon Web Services (AWS)
Yes
Claude
Yes
Claude Code
No
CrewAI
No
Databricks
Yes
Gemini
No
GitHub Copilot
No
Helicone
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
No
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
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)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
GuardionAI
Founded
2025
Country
United States
Website
guardion.ai/
Vendor Details
Company Name
Notenic
Founded
2025
Country
United States
Website
notenic.ai/platform.html