Hybrid Analytics
Ingest or federate with flexibility for any architectureIngest or federate with flexibility for any architecture
Deploy Artemis to fit your architecture. Stream high-value sources into Artemis, query the rest where they already live, and detect, search, and investigate across all of your data wherever it lives.
Hybrid Analytics
Ingest or federate with flexibility for any architectureIngest or federate with flexibility for any architecture
Deploy Artemis to fit your architecture. Stream high-value sources into Artemis, query the rest where they already live, and detect, search, and investigate across all of your data wherever it lives.
Hybrid Analytics
Ingest or federate with flexibility for any architectureIngest or federate with flexibility for any architecture
Deploy Artemis to fit your architecture. Stream high-value sources into Artemis, query the rest where they already live, and detect, search, and investigate across all of your data wherever it lives.
Trusted by SOCs from AI-native startups to global enterprises.
“This has been the easiest platform for us to onboard data onto that we’ve worked with. It’s very fast, it just works, and it does all the data engineering work for us automatically.”
AJ Cardarelli
Head of IT and Security, Quartermaster
Trusted by SOCs from AI-native startups to global enterprises.
“This has been the easiest platform for us to onboard data onto that we’ve worked with. It’s very fast, it just works, and it does all the data engineering work for us automatically.”
AJ Cardarelli
Head of IT and Security, Quartermaster
Every source in one plain English query, wherever it lives
Detection, search, and investigation reach data stored in Artemis and data left in your other tools at the same time.
Every source in one plain English query, wherever it lives
Detection, search, and investigation reach data stored in Artemis and data left in your other tools at the same time.
Every source in one plain English query, wherever it lives
Detection, search, and investigation reach data stored in Artemis and data left in your other tools at the same time.
Streamed + federated queries
Every search queries ingested and federated data together, removing the need to jump between tools.
Streamed + federated queries
Every search queries ingested and federated data together, removing the need to jump between tools.
Streamed + federated detection
Detection that runs on data as it streams in, or at the source inside supported platforms, in their own query language.
Streamed + federated detection
Detection that runs on data as it streams in, or at the source inside supported platforms, in their own query language.
Agents decide where to look
Artemis can look anywhere your data lives and, like a senior analyst, decides which sources to check and when.
Agents decide where to look
Artemis can look anywhere your data lives and, like a senior analyst, decides which sources to check and when.
Automated data engineering
Artemis parses and normalizes every source to OCSF, including custom applications.
Automated data engineering
Artemis parses and normalizes every source to OCSF, including custom applications.
Hot and cold storage
Hot storage for instant search, plus a cold archive that stays searchable for up to seven years.
Hot and cold storage
Hot storage for instant search, plus a cold archive that stays searchable for up to seven years.
Control your data
Keep data in storage you own, and export it anytime through the API or the MCP server.
Control your data
Keep data in storage you own, and export it anytime through the API or the MCP server.
Artemis searches and runs detection on data wherever it lives
Artemis searches and runs detection on data wherever it lives
Artemis searches and runs detection on data wherever it lives
01
Stream high-value sources for real-time detection
Identity, cloud audit, SaaS, and other high-value sources stream in through managed connectors, S3, webhooks, syslog, or OpenTelemetry.
300+ connectors across identity, cloud, endpoint, SaaS, and more
Most sources connect in minutes
01
Stream high-value sources for real-time detection
Identity, cloud audit, SaaS, and other high-value sources stream in through managed connectors, S3, webhooks, syslog, or OpenTelemetry.
300+ connectors across identity, cloud, endpoint, SaaS, and more
Most sources connect in minutes
01
Stream high-value sources for real-time detection
Identity, cloud audit, SaaS, and other high-value sources stream in through managed connectors, S3, webhooks, syslog, or OpenTelemetry.
300+ connectors across identity, cloud, endpoint, SaaS, and more
Most sources connect in minutes
02
Query the rest where it lives
High-volume telemetry can stay where it is. Federated connectors query your SIEM, EDR, and data lakes such as S3, Snowflake, and Databricks in their own query language.
Federated results feed investigations and AI Mode
02
Query the rest where it lives
High-volume telemetry can stay where it is. Federated connectors query your SIEM, EDR, and data lakes such as S3, Snowflake, and Databricks in their own query language.
Federated results feed investigations and AI Mode
02
Query the rest where it lives
High-volume telemetry can stay where it is. Federated connectors query your SIEM, EDR, and data lakes such as S3, Snowflake, and Databricks in their own query language.
Federated results feed investigations and AI Mode
03
Every source is parsed and monitored
Artemis maps each source to OCSF, keeps the raw events, and repairs the parsing when a vendor changes a field. It also flags any source that goes quiet, so a broken feed never goes unnoticed.
Customize how any source is parsed, with no black box
Timelines stay accurate, even when logs arrive late
03
Every source is parsed and monitored
Artemis maps each source to OCSF, keeps the raw events, and repairs the parsing when a vendor changes a field. It also flags any source that goes quiet, so a broken feed never goes unnoticed.
Customize how any source is parsed, with no black box
Timelines stay accurate, even when logs arrive late
03
Every source is parsed and monitored
Artemis maps each source to OCSF, keeps the raw events, and repairs the parsing when a vendor changes a field. It also flags any source that goes quiet, so a broken feed never goes unnoticed.
Customize how any source is parsed, with no black box
Timelines stay accurate, even when logs arrive late
04
Keep the data you need, as long as you need it
Events are searchable in seconds in hot storage and archived from the day they arrive. Cold retention extends to seven years, with no sampling or aggregation.
Search archived data the same way as recent data
Export anytime through the API or the MCP server
04
Keep the data you need, as long as you need it
Events are searchable in seconds in hot storage and archived from the day they arrive. Cold retention extends to seven years, with no sampling or aggregation.
Search archived data the same way as recent data
Export anytime through the API or the MCP server
04
Keep the data you need, as long as you need it
Events are searchable in seconds in hot storage and archived from the day they arrive. Cold retention extends to seven years, with no sampling or aggregation.
Search archived data the same way as recent data
Export anytime through the API or the MCP server
FAQs
What security teams ask us most
FAQs
What security teams ask us most
FAQs
What security teams ask us most
Do we have to send all our data to Artemis?
No. Send the sources worth storing and query the rest where it lives. Detection, search, and investigation work across both.
What is the trade-off with federated data?
Federated queries depend on the source platform, so results can arrive more slowly, and anything filtered out upstream is invisible. Sources that matter most for detection are usually better streamed.
Who maintains the parsers?
Artemis does, for every source, including custom applications. You can see the mapping for any source type and add your own field mappings, which Artemis reviews before they go live.
Can we keep data in our own storage?
Yes. Artemis can write normalized data to storage you own. Cursor runs Artemis on its own ClickHouse.
How long is data retained?
60 days hot, searchable in seconds. The cold archive keeps 90 days by default and up to seven years under your agreement.
What if there is no connector for a source?
Any source that can reach Artemis through an API, S3, a webhook, or syslog can be parsed. When a source needs a new connector, Artemis usually builds it within 48 hours.
Where does our data live?
Each customer runs in a dedicated, single-tenant cloud account. Data can be hosted in region, and data at rest is encrypted.
