JetAgent AI is designed for managing AI agents within data centers and hybrid IT infrastructures. It addresses the increasing demands of AI workloads by automating oversight, resource control, and security. The software provides full-stack visibility and a real-time control plane for AI agents, enabling automated deployment, monitoring, and scaling. Integration with security and IT tools like ServiceNow is supported. JetAgent AI optimizes performance and costs by preventing AI slowdowns and cost overruns through auto-scaling. It incorporates an AI-aware watchdog that adjusts CPU, memory, and storage in real-time, ensuring AI workload compliance without manual oversight. The software also orchestrates AI agents at scale with self-healing automation and ensures failover protection for uninterrupted AI workflows. It enforces security and compliance policies across cloud and on-premises IT infrastructure, automating multi-cloud compliance and providing AI-driven insights to prevent disruptions.

Features

• **Full-Stack Visibility: **Real-time control plane for AI agents in data centers and hybrid IT.
• **Automated Management: **Automate AI agent deployment, monitoring, and scaling anywhere.
• **Integration: **Integrate with security and IT tools like ServiceNow for continuity.
• **Performance Optimization: **Prevent AI slowdowns and cost overruns with auto-scaling.
• **AI-Aware Watchdog: **AI-aware watchdog adjusts CPU, memory, and storage in real time.
• **Compliance Assurance: **Ensure AI workload compliance with zero manual oversight.
• **Orchestration: **Orchestrate AI agents at scale with self-healing automation.
• **Failover Protection: **Ensure failover protection for uninterrupted AI workflows.
• **Policy Enforcement: **Protect AI operations with real-time policy enforcement across cloud and on-premises IT infrastructure.
• **Compliance Automation: **Keep AI agents aligned with global security frameworks and regulatory requirements through policy-driven automation.
• **Risk Prevention: **Detect compliance gaps early and act proactively, preventing AI workload disruptions.