The Complete Platform for AI Agent Management & Execution Security.
Deploy, manage, and secure any AI agent — from any framework, any model — with built-in execution protection. Works alongside NVIDIA NemoClaw, OpenShell, and leading agentic platforms.
JetPatch ExecwallProprietary OS-level enforcement engine included with the platform
Integrates with security platforms such asCrowdStrike Falcon
See It in Action
The AI Agent Cockpit — A Quick Overview
See how JetPatch gives IT and security teams full visibility and control over autonomous AI agent fleets.
The Problem
AI Agents Are Proliferating. The Control Gap Is Growing.
By end of 2026, 40% of enterprise apps will embed autonomous AI agents. These agents deploy across teams, spawn sub-agents, act on production infrastructure, and run up costs — with no operational layer to see, govern, or stop them at scale.
40%
of enterprise apps will embed autonomous agents by end of 2026 (Gartner)
90%
of deployed AI agents are over-permissioned with no enforced usage boundaries (CyberArk)
≈30s
target for rapid fleet-wide suspension — if you have the cockpit to do it
CIO / VP IT Operations
You have no operational control over your agent fleet.
No central registry of deployed agents across teams and clouds
No visibility into which agents are running, where, or at what cost
Agent deployment is ad hoc — no lifecycle management or version control
A single runaway job can exhaust an LLM budget in hours with no alerting
No mechanism to rapidly suspend agents across hybrid environments
CISO / Security
Your agents are operating outside defined boundaries.
Agents deviate from intended behavior over time — Execution Drift, where autonomous agents stray from intended operational, security, or cost boundaries, is a Tier-1 risk
No enforcement layer between agent intent and OS-level action
Over-permissioned agents can access credentials, filesystems, and external networks
Audit trails may not support auditability for SOC 2 and emerging EU AI Act governance needs
Security posture of sandboxed agents is invisible to the SOC
Execution Firewall — Powered by Execwall
Every Agent Action Evaluated Before It Reaches the OS.
JetPatch works with any execution enforcement engine — but you don't need one to get started. Execwall, our proprietary OS-level enforcement engine, ships with the platform. It intercepts shell commands, network calls, and tool invocations before they reach infrastructure — evaluating every argument, flag, path, and value against policy in real time.
Agents
NemoClawOpenShellCrewAIDevinClaudeAny agent
→
Execution Engine
ExecwallNative
NVIDIA OpenShellNVIDIA
Any engineCustom
Allow
Execute + Audit Log
Deny
Block + SOC Alert
✗
→
Operating System
Files · Network Processes
Legitimate commands pass instantly. Dangerous actions are blocked in under a millisecond — with a tamper-proof audit record.
No execution layer yet
Deploy Execwall as your Execution Firewall. Arg-level OS enforcement from day one — no additional tooling required.
Already using OpenShell or similar
JetPatch sits above it as the AI Agent Cockpit — adding fleet management, fleet-wide kill switch, budget governance, and SOC reporting without replacing your existing layer.
Want layered defense
Run OpenShell and Execwall together in the same environment. Multiple enforcement layers, unified visibility and policy management from the cockpit.
Same Agent — Two Outcomes
Context is everything. Execwall knows the difference.
Allowed — Normal Operation
Task
Agent sends company prospectus to a known client via WhatsApp
Evaluation
Single fileKnown recipientSize within policyConnector authorized
Result
✓ Delivered · Audit trail recorded
Blocked — Exfiltration Attempt
Task
Same agent sends 500 files to an unknown number via WhatsApp
Truly framework and model agnostic — no vendor lock-in. JetPatch works with every agent framework and every LLM your enterprise runs today or deploys tomorrow.
01
Install
Deploy across cloud, on-prem, or hybrid — no re-architecture needed. One-click from the JetPatch console.
Zero-touch
02
Start
Launch agents individually or in groups. Policies bind automatically at startup — no manual configuration.
Policy-bound
03
Modify
Allow or block capabilities in real time via the console. No restart required — changes take effect instantly.
Live control
04
Group
Organize agents by team, function, or risk level. Apply policies across groups instantly from a single view.
Role-based
05
Patch
Push fleet-wide updates automatically. Zero downtime, no manual steps — every agent stays current.
No downtime
06
Stop
Halt any agent individually or suspend your entire fleet immediately. Built for breach scenarios and runaway loops.
Individual or fleet
Override Control
Fleet Kill Switch
One command stops every active agent enterprise-wide. Built for breach scenarios and runaway loops.
Instant · enterprise-wide
Override Control
Stop Execwall
Pause or reconfigure the Execution Firewall — authorized admins only, with a tamper-proof audit record.
Admin-only · audited
One Console. Every AI Agent. Total Control.
Cost & Performance Governance
Set the Budget Once. The Cockpit Enforces It Automatically.
As spend thresholds are hit, JetPatch auto-downgrades to lighter models — with zero markup via OpenRouter pass-through pricing. CIOs define the limits. The AI Agent Cockpit makes sure they hold.
Budget consumed this cycle
0%← Drag the slider to see the budget cascade in action →110%+
Zero markup via OpenRouter pass-through pricing. CIOs set the limits — the AI Agent Cockpit enforces them automatically.
CPU Governance
Autonomous CPU Management for Local Model Workloads.
When agents run on local models, JetPatch dynamically manages CPU utilization — scaling throughput up or down to maintain peak performance without overloading your infrastructure.
Local Model CPU Governance
Intelligent throttling. No wasted compute.
0%← Drag to simulate CPU load →100%
Local model CPU governance runs continuously. The cockpit auto-adjusts in real time — no manual intervention required.
Take control of your AI agent fleet.
Talk to our team — get a tailored walkthrough of the AI Agent Cockpit in your environment in under 30 minutes.
