Telco
The autonomous NOC: an AI reasoning layer that turns alarm storms into one root cause in under 90 seconds, safely enough to act on a live network.
Network operations
3 articlesAlarm storms, root-cause analysis and what TM Forum Level 4 autonomy really takes.
Why your NOC is drowning, and what "autonomous" actually means
The problem: NOCs have a reasoning problem, not a data problem: a human still has to find the one root cause in 47 alarms at 2am.
RCA in under 90 seconds: the nine-layer autonomous NOC architecture
The problem: How do you get from 47 alarms across three vendors to one root cause fast enough to beat the SLA?
The failures that matter most are the ones your AI has never seen
The problem: The incidents that matter most make up under 0.5% of the record, so the AI has almost no data on them.
Trust, security & sovereignty
5 articlesWhy the model proposes and code decides, and how that also defends against attackers.
You can't let an LLM touch a live network, unless it can't hallucinate
The problem: Every executive asks: "you are letting it change the live network?" They are right to worry, because LLMs hallucinate structurally.
LLM proposes, code decides: the self-evolving causal DAG
The problem: How do you let a system rewrite its own knowledge every week without it ever corrupting itself?
The hidden cost of renting someone else's brain
The problem: A NOC never sleeps, so paying per token makes AI inference the fastest-growing line item.
Securing agentic remediation: when the self-healing loop becomes the attack surface
The problem: A remediation agent reads untrusted text and can change live infrastructure: the textbook setup for prompt injection.
Sovereignty is not one thing: why your regulated NOC needs more than a region
The problem: "Just keep it in-region" treats sovereignty as a checkbox.
Economics of always-on AI
1 articleSelf-hosted reasoning at a fixed monthly cost instead of an open-ended token bill.
Synthetic faults & evaluation
2 articlesTraining for the failures you have never seen, and benchmarks that cannot be gamed.
Graph-native synthetic faults with MK-TGAN
The problem: How do you generate realistic fault storms for incidents you have rarely seen?
Is your NOC benchmark gameable? Why evaluation is the real moat
The problem: A model that never read the logs scored a perfect F1 on three public root-cause benchmarks.