Your logs are sitting in a lake. Put them to work.

Most security data lakes cost too much to search or sit unused. LogSeam keeps every log you send 10 to 20 times smaller, writes detections for each source you connect, investigates across the years, and lets your analysts ask it in plain language, priced by the machine, not by what a search scans.

Glass layers stacked a year to a layer, newest on top. Only the top layer is lit; the older years below it fade into the dark.

Newest Oldest Watched Tested on past logs

The budget decides how far back you look.

A lake nobody searches is just storage.

You moved the logs out of the SIEM to keep more for less. Now every search is metered, by what it scans or the compute it burns, so people ask less, and most of the lake is something nobody looks at: no detections run on it, the queries need someone who writes them, and investigations still start in the SIEM.

Why the lake stays dark

Ration the searches. The bill stays down, and so does what anyone finds.
Hire people to write the queries. The lake becomes one team's tool.
Copy the important logs back into the SIEM. Now you pay for the same logs again, and the rest stays dark.

The logs you keep should be the logs you use.

Nothing to map.

LogSeam already knows the common log sources: which fields hold the users, addresses and hosts.

Ask it in plain language.

Analysts ask in plain language and LogSeam writes the query, or they write SQL.

Detections and investigations run on it.

Rules are written for the sources you connect, and agents investigate cases on the same logs, years back.

Priced by the machine, not by what a search scans.

Machines are brought together for each question and released after, and you set how big each is and how far it can scale.

It's still yours.

Every source you send kept 10 to 20 times smaller, as open files in your own cloud account on Your Cloud and On-Premises. On LogSeam Managed it's a bucket LogSeam creates for your account. Each deployment serves one customer.

Read logs from the bucket they're already in.

Point each log source at your own object storage bucket, or use the one created for your account during onboarding.

Point a source at an object storage bucket you already run, with an access key you issue and can revoke.

Provider: Object Storage.
The bucket: One you already have.
You enter: Bucket Name
Region
Logs Folder Path
Access Key ID
Secret Access Key
The key: Yours to issue and revoke.

Test it before you save.

The test only reads:

Bucket exists
Successfully listed files
Verified read access

Turn it off when you want.

On your own bucket, revoke the key in your own account. Either way, turn the source off in LogSeam.

The lake stays where your deployment puts it.

Storage is where the SOC Operating System's pipeline starts. For each source, you choose where LogSeam picks up its raw logs, and the lake it builds sits in a bucket of its own.

The bucket you pick

The lake

Your Cloud and On-Premises: In your own cloud account.
LogSeam Managed: In a bucket LogSeam creates for your account.

How you get there

Point LogSeam at the buckets your logs already land in, in object storage.
Test the read, then save it.
Ask the questions you stopped asking, on every source you send.
Switch on the detections LogSeam writes for each source you connect.

Questions buyers ask

Does LogSeam search the lake we already built?: Yes. It reads the buckets your lake already uses, in object storage, and can copy or move that data into its own lake: in your account on Your Cloud and On-Premises, in a bucket LogSeam creates on LogSeam Managed.
Do we pay by what a search scans?: No. The price is per node, sized to your volume and the questions you ask.
Can analysts who don't write SQL use it?: Yes. They ask in plain language and LogSeam writes the query.
Is it shared with other customers?: No. Each deployment serves one customer.
What do we give LogSeam for our own bucket?: The bucket's name and an access key you issue. You can also point it at the folder the logs are in.
Doesn't LogSeam keep a copy too?: Yes. The lake, kept 10 to 20 times smaller. On Your Cloud and On-Premises it sits in your own cloud account, as open files your own tools can read.