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New "Vision Agent" Architecture Helps IT Leaders Adopt Automation Without Risking Enterprise Data
SAN JOSE, Calif. - Californer -- Sonet.io today announced a new approach to enterprise automation that allows AI agents to interact with business applications without accessing the open internet. The model, known as a Vision Agent architecture, is designed for IT and security leaders who want to leverage AI while avoiding the risks created by emerging agentic browsers and extensions.
Traditional AI agents operate inside consumer browsers with full web access, which exposes organizations to hidden prompt attacks, cross-tab data leaks, and uncontrolled lateral movement between sensitive systems. With pressure mounting to deliver AI initiatives quickly, many IT teams are struggling to balance opportunity with security.
"Enterprises cannot give a powerful LLM the same open-internet access as a human browsing the web," said Dharmendra Mohan, CEO and Co-Founder of Sonet.io. "That architecture creates risks no organization can absorb. We believe automation should operate inside a private, controlled workspace where identity, least privilege, and data protection policies already exist."
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Sonet.io's Vision Agent model enables AI agents to perform tasks visually within a secure, contained environment. Instead of crawling external websites, Vision Agents interact only with approved air-gapped internal, Windows, SaaS, or legacy applications. This eliminates exposure to untrusted content and ensures that sensitive data never leaves enterprise boundaries.
A key design principle is policy parity. Vision Agents inherit the same governance that protects human users, including identity provider authentication, session-level least privilege, DLP controls, and full visibility into each step an agent takes. This produces auditability that many AI systems currently lack.
The Vision Agent architecture is already gaining traction among enterprises that rely on Windows applications, internal tools without APIs, or tightly regulated environments where data exposure is unacceptable.
More information about Sonet.io's Vision Agent approach is available at: https://go.sonet.io/secure-ai-automation
Traditional AI agents operate inside consumer browsers with full web access, which exposes organizations to hidden prompt attacks, cross-tab data leaks, and uncontrolled lateral movement between sensitive systems. With pressure mounting to deliver AI initiatives quickly, many IT teams are struggling to balance opportunity with security.
"Enterprises cannot give a powerful LLM the same open-internet access as a human browsing the web," said Dharmendra Mohan, CEO and Co-Founder of Sonet.io. "That architecture creates risks no organization can absorb. We believe automation should operate inside a private, controlled workspace where identity, least privilege, and data protection policies already exist."
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Sonet.io's Vision Agent model enables AI agents to perform tasks visually within a secure, contained environment. Instead of crawling external websites, Vision Agents interact only with approved air-gapped internal, Windows, SaaS, or legacy applications. This eliminates exposure to untrusted content and ensures that sensitive data never leaves enterprise boundaries.
A key design principle is policy parity. Vision Agents inherit the same governance that protects human users, including identity provider authentication, session-level least privilege, DLP controls, and full visibility into each step an agent takes. This produces auditability that many AI systems currently lack.
The Vision Agent architecture is already gaining traction among enterprises that rely on Windows applications, internal tools without APIs, or tightly regulated environments where data exposure is unacceptable.
More information about Sonet.io's Vision Agent approach is available at: https://go.sonet.io/secure-ai-automation
Source: Sonet.io
Filed Under: Technology
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