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Tivro Security

AI Runtime Data Security for Enterprise

Your AI systems are in production. What's stopping them from overstepping?

Tivro Security helps enterprises protect Data Security as employees and AI agents work with large language models. AI systems can expose sensitive information through prompts, outputs, and connections to external tools.

 

A runtime security layer can monitor these interactions, apply policy controls, and help prevent proprietary data from being shared where it does not belong. With clear visibility into AI traffic, security teams can identify risky behavior, investigate potential exposure, and make informed decisions about how AI is used across the organization.

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Tivro Fabric – Enterprise AI Runtime Security

Futuristic Workstation Setup

Tivro Fabric sits in line between what comes in and what goes out and stops the flow at three points.

ChatGPT Gemini Claude OpenRouter Ollama MCP calls

Tivro Shield
(AI Firewall)

Tivro Control
(Policy)

Prompts AI Agents MCP Calls Prompt Injection Rogue Agents

Tivro Vista
(Visibilty)

Office Collaboration Moment

Based in Silicon Valley, CA, Tivro Security offers an AI traffic audit that maps destinations, prompt payloads, and shadow AI use. The resulting risk assessment and mitigation roadmap give organizations practical next steps for strengthening Data Security while supporting responsible AI adoption.

AI Native

Runtime Security

The Founders of Tivro

Biju Ramachandran

Prem Talreja

Founder & CEO

Silicon Valley veteran with 30+ years in marketing and cloud infrastructure venture capital

FouNder & COO/CMO

Silicon Valley veteran with 20+ years in enterprise security and cloud infrastructure. Leading the mission to scale AI safely.

Ready to shield your data from leaking?

Based in Silicon Valley, CA, Tivro Security offers an AI traffic audit that maps destinations, prompt payloads, and shadow AI use. The resulting risk assessment and mitigation roadmap give organizations practical next steps for strengthening Data Security while supporting responsible AI adoption.

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