Agent Network Control

The agentic control plane for self-healing infrastructure. Collaborative AI agents that scan, fix, and learn from every remediation — replacing manual runbooks with autonomous, auditable operations.

THE CHALLENGE

Infrastructure Operations Are Broken

Engineering teams managing 50 to 1,000+ servers face the same recurring problems — manual firefighting, knowledge silos, and tools that alert but never fix.

Reactive Firefighting

Teams spend 60%+ of ops time on repetitive incidents: patching, service restarts, disk cleanup, that follow known patterns but still require manual intervention every time.

Knowledge Walks Out the Doory

When a senior engineer fixes a complex issue at 2 AM, that knowledge stays in their head. The next on-call engineer starts from scratch. Teams never collectively get smarter.

Dashboard Fatigue

Operations teams are drowning in dashboards that show everything equally. Healthy-state noise buries the five things that actually need attention right now.

LLM Automation Without Guardrails

Early AI-for-ops tools generate raw shell commands with no safety net. They can hallucinate dangerous operations, run non-deterministic outputs, and produce unauditable results.

Unpredictable AI Costs

Pure LLM-driven automation consumes 5–15 API calls per job with large token volumes. At fleet scale, agentic loops become prohibitively expensive — $170+/day on advanced models.

Tooling Fragmentation

Separate tools for monitoring, alerting, configuration management, and incident response create integration overhead and context-switching that slows every resolution.

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THE SOLUTION

How AgentX Works

AgentX deploys AI agents alongside your infrastructure that autonomously detect, diagnose, and remediate issues — while keeping humans informed and in control.

Detect

Agents continuously scan for security gaps, performance issues, drift, and compliance violations across your fleet.

Reason

AI plans the optimal fix using structured knowledge bases, prior experiences, and fleet-wide memory — not just raw LLM guessing.

Remediate

Pre-validated task bundles execute deterministically with safety guardrails, risk-based approval gates, and per-command auditing.

Learn

Fixes becomes shared organizational knowledge. Agents get faster & cheaper on recurring problems, the system self-improves.

Interested? Let us know

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Our mission is to secure the pervasive use of AI across the modern enterprise through autonomous, agentic AI—protecting models, agents, data flows, and runtime interactions with a platform that delivers strong security outcomes while remaining simple to operate and requiring no specialized security expertise.

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Open Source