Nextvise controls what autonomous AI can access, execute and change across critical infrastructure. Deploy AI across your organization with confidence: Nextvise protects connected AI systems, controls actions as they happen and helps teams identify and resolve regulatory issues.
AI security, built into the way you operate. AI is becoming part of everyday operations. Agents access data, use tools and carry out tasks across business systems. Nextvise provides the controls and visibility to keep those activities within authorized boundaries.
Nextvise connects to the AI applications and agents you already use. Protected actions are evaluated before execution, unauthorized activity can be blocked and outcomes are recorded automatically.
Risk comes from what an agent does and from attacks on the environment it runs in. Nextvise extends its control point with detection, investigation and authorized response. Sensitive measures need human approval, and our own defensive agents follow the same rules.
Prevent unauthorized actions before they reach connected systems.
Understand issues against relevant requirements.
See what needs to change and why.
Maintain a traceable record of protected AI activity.
See how protected AI actions are handled across connected systems. When a regulatory issue is identified, Nextvise explains the finding and provides practical remediation guidance so teams know what needs attention.
A protected action was stopped before it reached the connected system.
The protected action lacked the necessary authorization context.
Verify the permitted access path and correct the affected workflow.
From enterprise applications and cloud services to healthcare and critical infrastructure workflows, Nextvise supports organizations adopting AI across sensitive systems. We start with one clearly scoped AI workflow and extend protection from there. Our focus is Qatar and the GCC.
Bring your existing agents into Nextvise with an API key. Keep your applications and workflows in place while protected actions pass through runtime enforcement and become visible on the platform.
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