Turn log noise into a short list of what to look at
Your applications, network and access systems write more logs than any team can read. In a 4 to 8 week pilot, Tridan AI engineers build log collection, parsing, correlation rules and a live view of events worth a human look, on your infrastructure. AI summarizes and flags. Your team investigates and decides.
- On-prem, logs stay on your servers
- Read-only access
- You approve every action
- Collection and parsing of your application, network and access logsBuilt in your pilot
- Correlation rules you define with us, and a live view of flagged eventsBuilt in your pilot
- Ask follow-up questions in plain language over a read-only copyDemo ready
The Problem
The signal is in your logs. Finding it takes too long.
Today
The pieces are scattered across logs nobody reads together.
- Application, network and access logs live in different places and formats.
- A login from an unusual place looks harmless in one log and suspicious only next to another.
- Analysts scroll raw lines to understand what happened.
- Your SIEM, if you have one, covers what it was set up for, and gaps stay quiet.
With Tridan AI
Events connected across sources, flagged and explained.
- Our engineers collect and parse the sources you pick into one consistent view.
- Correlation rules you define with us connect events across sources and flag the combination.
- Each flagged event comes with a plain-language summary, and the AI analyst answers follow-up questions.
- The pilot works next to your SIEM on the sources and questions it does not cover yet.
From scattered logs to one list your team can work through
- 1
Pick the sources and the question.
In the scoping call, your IT or security lead chooses the logs that matter first, for example VPN access, the identity provider and one business application, and the question: "Which access looks wrong and deserves a human look?"
- 2
Collect and parse.
Our engineers set up read-only collection from those sources on your servers and parse each format into common fields: who, from where, what, when, result.
- 3
Write the rules together.
Your team describes what worries them, such as repeated failed logins followed by a success, access outside usual hours, or a sudden spike of errors in one service. We turn that into correlation rules and tune them with you.
- 4
Review the live view.
Flagged events appear in one list with the reason they were flagged and a short AI summary of the related log lines. A daily overview shows what changed since yesterday.
- 5
Investigate with follow-up questions.
An analyst opens a flagged event and asks in plain language, for example "What else did this account do since yesterday?", and gets an answer from the read-only copy of the logs.
- 6
Decide and hand off.
Your team confirms or dismisses each flag. Confirmed events can be pushed by webhook to your ticketing system or SIEM, only after a person approves. Every dismissal helps us tune the rules.
From your data to your team
- Sources
- Application logs(Built in your pilot)
- Network and firewall logs(Built in your pilot)
- Access and identity logs(Built in your pilot)
- Existing SIEM export (optional)(Built in your pilot)
- Collection
- Read-only log collection on your servers(Built in your pilot)
- Parsing into common fields(Built in your pilot)
- Processing
- Correlation rules defined with your team(Built in your pilot)
- Flagged events with reason(Built in your pilot)
- AI
- Plain-language summary of each flagged event(Built in your pilot)
- AI analyst over a read-only copy of the logs (try it in the demo, we connect it to your data in the pilot)(Built in your pilot)
- Action
- Live view and daily overview of flagged events(Built in your pilot)
- Webhook to your ticketing system or SIEM, after human approval
- Your team investigates and decides
- Your teamacts on the results
What exists today, and what we build for you
- CapabilityStatus
- AI analyst: plain-language questions over a read-only copy, actions wait for approvalTry it in the demo, we connect it to your data in the pilot.Demo ready
- Dashboards that refresh on their ownThe log views are new screens our engineers build on this base.Ready today
- Webhooks to your other systemsTargets such as your ticketing system or SIEM are set up in the pilot.Ready today
- On-prem deployment, data stays on your serversReady today
- Enterprise AI APIs that do not train on your data, or a local modelReady today
- Log collection and parsing for your sourcesScoped to the sources you pick first.Built in your pilot
- Correlation rulesWritten and tuned together with your team.Built in your pilot
- Live and daily view of flagged events, with AI summariesBuilt in your pilot
- SIEM product, automatic response, round-the-clock monitoring serviceWe do not sell a SIEM or run a SOC. Your team stays in charge.Not offered
What you have at the end of 4 to 8 weeks
Deliverables
- Read-only collection and parsing for the log sources agreed in scoping, running on your infrastructure.
- A first set of correlation rules, written and tuned with your team.
- A live view and a daily overview of flagged events, each with the reason and a plain-language summary.
- The AI analyst connected to a read-only copy of the parsed logs, for follow-up questions.
- Optional webhook hand-off of approved events to your ticketing system or SIEM.
- A results review with your team and a written recommendation for next steps.
Success criteria, defined with you before we start (types, not promises)
- Coverage
- which sources and event types are collected and parsed correctly.
- Relevance
- how many flagged events your analysts judge worth a look, reviewed together.
- Time to understand
- how long it takes an analyst to grasp a flagged event, compared with your current way of working.
- Fit with your tools
- whether hand-off to your SIEM or ticketing system works for your process.
- Team adoption
- whether your analysts use the list and the follow-up questions in daily work.
Your logs never leave your control
On-prem.
We install everything on your servers. Logs, parsed data and results stay there.
Read-only access.
Collection and the AI analyst only read. Nothing in your systems is changed.
You approve every action.
No event is sent onward and nothing is changed without a person saying yes.
Controlled AI processing.
Enterprise AI APIs that do not train on your data, or a local model running on your own servers.
Common questions
Is this a SIEM replacement?
No. Tridan AI does not offer a SIEM product. In a pilot, our engineers build log collection, correlation rules and a live view of flagged events for your team. If you already run a SIEM, the pilot works next to it, on sources or questions it does not cover yet, and can hand approved events to it by webhook.
Does the AI block attacks or respond on its own?
No. AI summarizes and flags events. Your people investigate and decide. Any action the AI proposes waits for a person to approve it.
Which logs can you work with?
Application, network and access logs are the usual starting point. In scoping we pick the sources that matter first and check their formats. Our engineers then build collection and parsing for exactly those sources.
Do our logs leave our servers?
Not with on-prem. Everything runs on your infrastructure, with read-only access. For AI processing you choose enterprise AI APIs that do not train on your data, or a local model on your own servers.
How long does it take and what do we need to provide?
A pilot takes 4 to 8 weeks, depending on the sources and the rules. You provide read-only access to the chosen logs and a few hours of your analysts' time to define and tune the rules. Our engineers do the building.
One log source, one question, 4 to 8 weeks
No slides. We show it on your data.
Tell us what your team wants to catch. We will show you, on your own logs, whether it can be found.
- On-prem available
- Read-only access
- You approve every action