Our own LLM · built for SIEM
Ask your SIEM anything. In plain English.
Mudals AI for SIEM is a language model we built and run ourselves. Analysts ask a question, it writes one precise, validated query for the search engine your security data already lives in, and the answer comes back in seconds. It runs on your own GPUs, so not a single byte leaves your environment.
See it work
From an analyst’s question to a checked answer.
Pick a question. Watch the model write the query, the validator check it, and the search engine answer. This is an illustration with sample data; the live demo runs on yours.
- TranslateLocal model writes one precise query
- ValidateEvery index, field and time range checked against your schema
- SearchRuns on the engine that already holds the data
- AnswerPlain-English summary with the evidence
· illustrative example with sample data
Why we built our own
Most AI chatbots are built backwards.
They send your data to someone else’s servers, try to squeeze terabytes into a prompt, chain slow agents together, and then hallucinate. In a SOC, a confident wrong answer is worse than none.
The model writes the question
Instead of loading data into the model, it turns the analyst’s words into one precise query for the search engine that already holds the data. That is how it scales to terabytes.
Nothing runs unchecked
A strict validator checks every generated query against the structure of your data before it runs. Invented fields and indexes are stopped, which makes hallucinated answers structurally unlikely.
Always an answer you can trust
If the model’s output isn’t usable, a deterministic rules engine answers instead. Analysts are never left with a guess.
Simple won. We built five versions and measured each against hundreds of hard questions. The simplest architecture was the fastest, the cheapest and the most accurate. Read the engineering story.
How it is built
Everything inside your walls.
The model, the validator and the data stay in your data centre or your private cloud account. There are no external API calls.
SOC teams with more data than time
- Tier 1 analysts who need answers without learning a query language
- Threat hunters who want to move at the speed of their questions
- Regulated organizations that cannot send security data to a public AI service
Pilot on your data, then production
- Connect to your SIEM’s search engine and map your schema
- Measure accuracy on your own analysts’ real questions
- Deploy on your GPUs or private cloud, with Mudals support
AI across security operations
Part of a wider AI practice.
The same engineering powers AI-assisted WAF investigations, automated remediation and AIOps for your operations teams.
LLMs on Amazon Bedrock and our own models
AI-assisted WAF investigations, AI-driven remediation and private, custom-trained models.
AIOpsFewer alerts, faster root cause
Noise reduction, anomaly detection and automated runbooks across logs, metrics and traces.
InsightFrom RAG to custom-trained LLMs
Why private AI is becoming the foundation for enterprise security teams.