AI SIEM

The agentic SIEM that writes and tunes its own detections, with no ingest pricing

Connect any source, ingested or federated, with no parsers to maintain. Artemis builds detectors around your users and systems to catch the threats that matter.

Book a demo

AI SIEM

The agentic SIEM that writes and tunes its own detections, with no ingest pricing

Connect any source, ingested or federated, with no parsers to maintain. Artemis builds detectors around your users and systems to catch the threats that matter.

Book a demo

AI SIEM

The agentic SIEM that writes and tunes its own detections, with no ingest pricing

Connect any source, ingested or federated, with no parsers to maintain. Artemis builds detectors around your users and systems to catch the threats that matter.

Book a demo

“With a legacy SIEM, our platform’s audit logs would have had to follow a specific format, and we’d have written a lot of custom alert logic. Artemis learns on its own, so we don’t spend time fine-tuning alerts or fixing JSON parsing.”

Lukas Lozovski

Senior Director of Engineering, Canoe

“With a legacy SIEM, our platform’s audit logs would have had to follow a specific format, and we’d have written a lot of custom alert logic. Artemis learns on its own, so we don’t spend time fine-tuning alerts or fixing JSON parsing.”

Lukas Lozovski

Senior Director of Engineering, Canoe

96%

reduction in mean time to resolution

95%+

reduction in false positives

90%

increase in detection coverage

Legacy SIEMs leave the hardest work to your team

Legacy SIEMs leave the hardest work to your team

Legacy SIEMs leave the hardest work to your team

Parsers break quietly

Every source has to be mapped into the schema by hand, and the mapping fails without warning when a vendor renames a field.

Detection rules go stale

Detection content comes from a generic rule library or custom rules written by engineers, and those rules silently break as the environment changes.

AI is bolted on

Legacy SIEMs slap AI chatbots onto platforms that were not natively built for AI, then charge an extra token tax for AI queries.

Pricing taxes every log

Ingest-based pricing pushes teams to drop the sources an investigation will later need.

Artemis is everything a SIEM should have been

Detection that keeps up with your environment, without the parser upkeep, stale rules, or ingest bills of a legacy SIEM.

Artemis is everything a SIEM should have been

Detection that keeps up with your environment, without the parser upkeep, stale rules, or ingest bills of a legacy SIEM.

Artemis is everything a SIEM should have been

Detection that keeps up with your environment, without the parser upkeep, stale rules, or ingest bills of a legacy SIEM.

Any source, automatically parsed for you

Connect from 300+ connectors, stream logs in, or query them where they live in your EDR or data lake. An AI agent reads each new source, writes its normalization to OCSF, and fixes it when the format drifts.

Multi-layer detection wherever data lives

A managed MITRE ATT&CK library is live on day one. Behavioral baselines for each user, account, and device flag activity that is unusual. Adaptive detectors are written for your environment from attack paths and observed patterns, and every new threat report becomes a detector of its own.

Continuously tested and tuned detectors

Each detector is graded for volume, overlap, accuracy, and efficacy against your own data before it goes live. Noisy detectors tune themselves down, and every change is versioned with a readable diff and one-click rollback.

Bring your own detections or write new ones in English

Import Sigma or rules from your current SIEM, and Artemis translates each one. Write new detectors in plain English, SQL, or Sigma, and manage them as code in GitHub, GitLab, Bitbucket, or Cursor Origin.

Agentic search wherever your data lives

Ask in plain English. Artemis searches ingested and federated data together, runs the follow-up searches an analyst would, and links every answer to the raw logs behind it.

Up to 7 years of retention

Hot storage powers detection, search, and investigation, and every event is archived from day one and kept for up to seven years. Nothing is sampled or aggregated.

Detection coverage you can measure

Map your detection coverage to MITRE ATT&CK and to threat scenarios such as account takeover. Recommended connectors show which detectors each new source would turn on.

Detections trigger investigations automatically

Related detections are grouped into one case and investigated the moment they fire, so your team starts from a judgement and its evidence, not a raw alert.

Any source, automatically parsed for you

Connect from 300+ connectors, stream logs in, or query them where they live in your EDR or data lake. An AI agent reads each new source, writes its normalization to OCSF, and fixes it when the format drifts.

Multi-layer detection wherever data lives

A managed MITRE ATT&CK library is live on day one. Behavioral baselines for each user, account, and device flag activity that is unusual. Adaptive detectors are written for your environment from attack paths and observed patterns, and every new threat report becomes a detector of its own.

Continuously tested and tuned detectors

Each detector is graded for volume, overlap, accuracy, and efficacy against your own data before it goes live. Noisy detectors tune themselves down, and every change is versioned with a readable diff and one-click rollback.

Bring your own detections or write new ones in English

Import Sigma or rules from your current SIEM, and Artemis translates each one. Write new detectors in plain English, SQL, or Sigma, and manage them as code in GitHub, GitLab, Bitbucket, or Cursor Origin.

Agentic search wherever your data lives

Ask in plain English. Artemis searches ingested and federated data together, runs the follow-up searches an analyst would, and links every answer to the raw logs behind it.

Up to 7 years of retention

Hot storage powers detection, search, and investigation, and every event is archived from day one and kept for up to seven years. Nothing is sampled or aggregated.

Detection coverage you can measure

Map your detection coverage to MITRE ATT&CK and to threat scenarios such as account takeover. Recommended connectors show which detectors each new source would turn on.

Detections trigger investigations automatically

Related detections are grouped into one case and investigated the moment they fire, so your team starts from a judgement and its evidence, not a raw alert.

Replace your SIEM with Artemis

Book a demo

30 min

Replace your SIEM with Artemis

Book a demo

30 min

A SIEM built from your environment, with no ingest pricing and a flexible deployment based on your chosen architecture

A SIEM built from your environment, with no ingest pricing and a flexible deployment based on your chosen architecture

A SIEM built from your environment, with no ingest pricing and a flexible deployment based on your chosen architecture

01

Your environment sits in the detection path

Artemis models your organization from identity, cloud, HR, CMDB, and ticketing data. Detectors run against that model, so activity is judged against each account's own baseline.

01

Your environment sits in the detection path

Artemis models your organization from identity, cloud, HR, CMDB, and ticketing data. Detectors run against that model, so activity is judged against each account's own baseline.

01

Your environment sits in the detection path

Artemis models your organization from identity, cloud, HR, CMDB, and ticketing data. Detectors run against that model, so activity is judged against each account's own baseline.

02

Pricing that does not punish data

Artemis doesn't charge for ingest, queries, or AI usage. Pricing stays flat and predictable, so teams never trade coverage for cost.

02

Pricing that does not punish data

Artemis doesn't charge for ingest, queries, or AI usage. Pricing stays flat and predictable, so teams never trade coverage for cost.

02

Pricing that does not punish data

Artemis doesn't charge for ingest, queries, or AI usage. Pricing stays flat and predictable, so teams never trade coverage for cost.

03

Run it next to your SIEM, then replace it

Start by federating into your current SIEM and data lake, then move sources over at your pace. Your existing rules come with you, translated automatically by Artemis.

03

Run it next to your SIEM, then replace it

Start by federating into your current SIEM and data lake, then move sources over at your pace. Your existing rules come with you, translated automatically by Artemis.

03

Run it next to your SIEM, then replace it

Start by federating into your current SIEM and data lake, then move sources over at your pace. Your existing rules come with you, translated automatically by Artemis.

04

Your own isolated deployment, in your region, on your storage

Every customer runs in a dedicated, single-tenant AWS account in the region they choose. Keep data in Artemis or on storage you own, export anything through the API or MCP, and set granular permissions on who sees what.

04

Your own isolated deployment, in your region, on your storage

Every customer runs in a dedicated, single-tenant AWS account in the region they choose. Keep data in Artemis or on storage you own, export anything through the API or MCP, and set granular permissions on who sees what.

04

Your own isolated deployment, in your region, on your storage

Every customer runs in a dedicated, single-tenant AWS account in the region they choose. Keep data in Artemis or on storage you own, export anything through the API or MCP, and set granular permissions on who sees what.

One unified platform for security operations

Artemis is built on one foundation: the same data, detections, cases, and model of your environment. Run the whole platform or start with one piece, and it all works as a single system.

One unified platform for security operations

Artemis is built on one foundation: the same data, detections, cases, and model of your environment. Run the whole platform or start with one piece, and it all works as a single system.

One unified platform for security operations

Artemis is built on one foundation: the same data, detections, cases, and model of your environment. Run the whole platform or start with one piece, and it all works as a single system.

AI SOC

Investigates the alerts your other security tools raise.

Explore AI SOC

AI SOAR

Response actions and workflows that read the investigation.

Explore AI SOAR

AI Threat Hunting

Hunts each new threat across all your sources.

Explore AI Threat Hunting

FAQs

Questions buyers ask

Artemis translates your detections to run across every source, and shows the original rule beside the translation on every proposal.

FAQs

Questions buyers ask

Artemis translates your detections to run across every source, and shows the original rule beside the translation on every proposal.

FAQs

Questions buyers ask

Artemis translates your detections to run across every source, and shows the original rule beside the translation on every proposal.

Can AI SIEM replace our current SIEM?

Yes. 70% of Artemis customers have moved off their legacy SIEM onto Artemis. Many start by running Artemis next to their SIEM, federating into it, and move sources over once they trust the results.

How is AI SIEM priced?

On the size of your organization and the number of users. There is no charge for ingest, queries, or AI usage. Cold retention beyond the default window is billed at cost.

Do we need to write or maintain parsers?

No. Artemis writes the normalization for each source, including custom application logs, and updates it when a vendor changes its format. The raw log is kept next to the normalized one.

How soon are detections running?

Connecting takes under an hour, and the managed MITRE ATT&CK library runs the same day. Behavioral baselines need one to two weeks of data before they settle.

Can we bring our existing detection rules?

Yes. Import Sigma, or pull rules straight from your SIEM or a detection-as-code repository. Artemis translates each rule by meaning, shows any data it still needs, and migrates lookup tables with it.

How long is our data kept?

60 days hot for detection, search, and investigation. Every event is also archived at ingest, for 90 days by default and up to 7 years.

Where does our data live, and can we get it out?

In a dedicated, single-tenant AWS account, with in-region hosting available. Export at any time through the API or the Artemis MCP server, or keep a copy in your own storage.

What if a source has no connector?

Add an API credential and Artemis builds the connector, usually within 48 hours.

See Artemis in your environment.

Connect your sources in minutes. Get your first environment-specific detections the same day.

Book a demo

30 min

See Artemis in your environment.

Connect your sources in minutes. Get your first environment-specific detections the same day.

Book a demo

30 min

See Artemis in your environment.

Connect your sources in minutes. Get your first environment-specific detections the same day.

Book a demo

30 min