Talk to any Tier 1 analyst and they will tell you the same thing: most of their day is repetitive triage. Alert comes in. They check the log. They correlate a few data points. They close it as a false positive or escalate it. Then they do it again. And again.
That work is necessary. It is also not what most security professionals got into this field to do.
At the Tier 2 and Tier 3 levels, the problem flips. There are not enough of these analysts to go around. Deep investigations, threat hunting, adversary modeling - these skills take years to develop and are expensive to retain. When a true positive hits, the pressure on these analysts is intense. They are often working multiple incidents at once, across fragmented tooling, with limited time to go deep on any one of them.
The result is a SOC that is simultaneously overwhelmed at the bottom and under-resourced at the top.
What AI in the SOC has looked like so far
There has been no shortage of attempts to apply AI to this problem. Most of them follow the same pattern: take an existing tool, add an AI layer on top, and call it an assistant.
The results have been mixed. Alert summarization helps at the margins. Recommended next steps can surface relevant context faster. But these tools are still fundamentally bolt-ons. They are trained on general security data, not your environment. They do not know which servers are critical, what normal traffic looks like for your network, or how your team has handled similar incidents in the past.
They assist. They do not investigate.
What we built instead
Soc0 is our answer to this. Not an AI layer on top of your SIEM. An AI analyst that operates across every tier of your SOC.
It connects directly to your existing EDR stack - CrowdStrike, SentinelOne, and others, and works as a standalone product. For teams running Port0's xNDR, it layers on top to add full east-west network visibility into every investigation. Either way, it deploys in minutes with no new agents or hardware required.
At Tier 1, it handles initial triage automatically. Every alert is analyzed, enriched, and mapped to MITRE ATT&CK before a human analyst opens it. False positives are flagged with reasoning. True positives are escalated with full context already assembled.
At Tier 2 and 3, it goes deeper. You can ask Soc0 to investigate a specific incident in plain English and get back a full execution trace: what happened, in what order, across which systems, with what blast radius. It queries your entire security stack- logs, network data, identity systems, cloud context - and correlates across all of it in seconds.
It also acts as a standing network expert. It learns your environment over time: your topology, your critical assets, what normal looks like. It surfaces anomalies proactively and makes recommendations based on what it knows about your infrastructure specifically, not just general threat intelligence.
When a zero-day hit one of our test environments recently, Soc0 identified the anomaly, traced the execution path, queried cloud context to assess privilege exposure, and quarantined the host automatically. Total time: 14 seconds.
Why this works where others have not
The reason most AI security tools fall short is the data problem. Standard SIEMs were not built for the way large language models reason. Schemas are inconsistent across integrations. Query performance degrades at scale. Context gets lost.
We solved this with a proprietary Data Optimized Fabric for AI. It normalizes schemas across 200+ integrations at ingestion, generates vector embeddings in real time for semantic search, and delivers sub-second query response across petabytes of data. No data movement required. Soc0 works against your existing data lake.
The result is an AI analyst that can actually reason across your full environment, not just the slice of data that fits in a context window.
The staffing crisis is real. The workaround is not more headcount.
We are not saying AI replaces your team. Your analysts bring judgment, institutional knowledge, and contextual reasoning that no model fully replicates today.
What we are saying is that a Tier 1 analyst working alongside Soc0 is no longer processing 200 alerts manually. They are reviewing Soc0's work, overriding it when needed, and focusing on the cases that actually require human judgment.
And your Tier 3 analyst is no longer spending four hours reconstructing an attack timeline across six tools. They are reading a complete investigation report and deciding what to do next.
That is not a marginal improvement. That is how you close the gap.
