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Vision Agents for Intelligent Automation
A safer model for AI automation that brings governance, containment, and explainability to the enterprise.
Watch: 90-second overview
A fast, executive-level walkthrough of what Vision Agents are, what they run, and how control/visibility works when agents operate inside real applications.
You'll see:
- Enterprise apps delivered through a secure browser workspace
- Plain-English task prompts → real execution
- Explainability for business users + governance for IT
AI That Works for the Enterprise, Not Against It
Consumer-style agentic browsers and extensions give models broad, unpredictable internet access. That opens the door to hidden prompt attacks, cross-tab data leakage, and actions no CISO would approve without centralized governance or an audit trail. A contained, policy-parity design is required.
Meet Vision Agents: automation that operates inside your secure workspace
Vision Agents execute work visually, just like a user, inside a private, controlled browser workspace. They inherit identity, least-privilege access, and DLP; every step is recorded and explainable. No VDI infrastructure. No device shipping. No VPNs or proxies. No enterprise browsers.
How it works (for both humans and AI)
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Identity & policy parity: Agents are first-class users in your IdP, grouped and governed like any user. Zero-trust controls apply to every session, agent or human.
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Vision + action loop: The agent sees the screen, decides the next step, and acts across Windows, web, and legacy tools within your controlled workspace.
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Full observability: Session recording, step logs, screenshots, and alerts provide an audit-ready trail for every action. IT can pause or terminate in real time.
Demo: Agent Creation (Identity + Access Controls)
Agents aren’t “magic bots.” They’re first-class identities with credentials, group membership, and access policies — just like human users.
You'll see:
- Agent users + agent groups
- App assignment to an agent workspace
- Zero-trust controls (device restrictions, upload/download controls, session recording)
Demo: Prompt Creation & Execution
Define tasks in plain English, then watch an agent execute a real workflow across enterprise applications without scripts or brittle UI automation.
You'll see:
- Goal-based prompt creation
- Execution across multiple applications (e.g., data → analysis → email)
- End-to-end completion with outcomes you can verify
Demo: Post Workflow Review
Explainability for Users
After the workflow runs, users can review exactly what happened, step-by-step, without needing admin access.
You'll see:
- Completed workflow view
- Steps and screenshots timeline
- Slideshow-style review of actions taken.
Demo: Visibility & Control
Governance for IT
IT and Security can monitor agents and users side-by-side, detect policy violations, and intervene in real time with a full audit trail for every session.
You'll see:
- Policy violations in logs
- Active sessions for users and agents
- Real-time intervention (terminate / log out)
- Session history and recordings for audit
Vision Agents vs. Agentic Browsers vs. AI Extensions
See how these approaches differ in architecture, control, governance, isolation, and enterprise readiness. Understand why open-internet models cannot support mission-critical workflows.
Compare Your OptionsPodcast: Stop Letting AI Roam the Open Internet
Hear Jeff and DM break down the latest security findings, from hidden prompt attacks on Reddit to cross-tab SOP violations, and explore why containment and policy parity matter.
Listen InAI Without APIs: A Practical Guide to Secure Automation in the Enterprise
Learn why traditional API automation isn’t enough, why agentic browsers introduce unacceptable risk, and how Vision Agents enable controlled, explainable automation for real enterprise systems.
Read the White Paper
Ready to Explore Vision Agents?
Modern IT teams are shaping the next generation of secure, explainable, enterprise automation. If you want to help define the future or simply want to see Vision Agents in action, we’d love to connect.
