What is an AI network engineer, and what should it be allowed to do?
An AI network engineer patches, diagnoses and defends a network on its own initiative. Here's what one can realistically do today, what it must never do, and how to keep a human in charge.
7 min read02Why an AI that manages your network should run on-site, not in the cloud
Network admin means configs, logs and credentials. Here's why Vantage Guardian runs a local LLM on a dedicated box on your premises, and what that means for privacy, GDPR and resilience.
6 min read03Off, Monitor, Ask, Auto: designing permissions for an autonomous IT agent
How to give an AI IT agent real autonomy without losing control: per-device permission levels, time windows, expiring grants, emergency containment and rules the AI can never change.
7 min read04Tamper-evident audit trails for automated IT changes
When software changes your network, you need proof of what happened and who allowed it. How a hash-chained activity log, a daily diary and honest 'fixed' checks work together.
6 min read05Prompt injection: the biggest risk in AI IT automation, and how to design for it
An AI agent that reads logs and emails can be steered by text an attacker planted there. How Vantage Guardian treats untrusted content as data, gates actions with fixed rules and tests for it in every exam.
7 min read06How to test an AI network engineer: our 20-scenario exam
Real faults in an isolated lab, graded from the audit trail with pass/fail safety gates. How we define 'PhD level' for Vantage Guardian, and what early results show.
8 min read07What hardware does a local AI IT agent need? GPUs, memory and deployment options
A practical guide to sizing hardware for an on-site AI network engineer: GPU memory and model size, sizing tiers, VMs with GPU passthrough, air-gapped sites, HA and MSP estates.
7 min readFor news from the build, read the blog. Short answers are in the FAQ.