SOC transformation

A new operating model for machine speed security operations

Cases instead of an alert queue. Detection engineering as supervision instead of authorship. Hunting that runs daily instead of when there is time.

Book a demo

SOC transformation

A new operating model for machine speed security operations

Cases instead of an alert queue. Detection engineering as supervision instead of authorship. Hunting that runs daily instead of when there is time.

Book a demo

SOC transformation

A new operating model for machine speed security operations

Cases instead of an alert queue. Detection engineering as supervision instead of authorship. Hunting that runs daily instead of when there is time.

Book a demo

Who this is for

CISOs and security leaders with a mandate to transform security operations and run them at machine speed, to stop machine-speed attacks.

“As a team, we spend multiple hours in Artemis a day. I might spend an hour in the product every day, myself. I look forward to using Artemis each morning.”

Jonathan Jaffe

CISO, Lemonade

Who this is for

CISOs and security leaders with a mandate to transform security operations and run them at machine speed, to stop machine-speed attacks.

“As a team, we spend multiple hours in Artemis a day. I might spend an hour in the product every day, myself. I look forward to using Artemis each morning.”

Jonathan Jaffe

CISO, Lemonade

Who this is for

CISOs and security leaders with a mandate to transform security operations and run them at machine speed, to stop machine-speed attacks.

“As a team, we spend multiple hours in Artemis a day. I might spend an hour in the product every day, myself. I look forward to using Artemis each morning.”

Jonathan Jaffe

CISO, Lemonade

Attacks now move at machine speed.
The SOC operating model still does not.

Analysts rebuild alerts by hand across consoles, detections take weeks to write, and hunts rarely run. Every step is manual while attacks are increasingly automated.

Attacks now move at machine speed.
The SOC operating model still does not.

Analysts rebuild alerts by hand across consoles, detections take weeks to write, and hunts rarely run. Every step is manual while attacks are increasingly automated.

Attacks now move at machine speed.
The SOC operating model still does not.

Analysts rebuild alerts by hand across consoles, detections take weeks to write, and hunts rarely run. Every step is manual while attacks are increasingly automated.

89%

year-over-year increase in attacks by AI-enabled adversaries (CrowdStrike 2026 Global Threat Report)

Hours to weeks

the manual investigation cycle a legacy stack imposes

2 weeks

the typical detection lifecycle from report to rule

Artemis powers the AI-native SOC

Artemis removes tedious manual work from the security operations lifecycle and empowers teams where judgement is needed.

Artemis powers the AI-native SOC

Artemis removes tedious manual work from the security operations lifecycle and empowers teams where judgement is needed.

Artemis powers the AI-native SOC

Artemis removes tedious manual work from the security operations lifecycle and empowers teams where judgement is needed.

Before Artemis

With Artemis

From building data pipelines to connecting sources

Engineers write parsers, normalize fields, and maintain correlation rules for every new source

Artemis connects sources without manual parsers, normalizes every event to OCSF, and correlates across sources automatically

From alerts to cases

A queue of thousands of alerts, each a reconstruction project, few ever investigated

A handful of daily cases, each investigated before anyone opens it, with judgement, evidence, and a staged response

From authoring detections to supervising the machine that builds detections

Detection engineers write and tune rules by hand, and coverage decays between revisions

Artemis writes and tunes detectors for your environment, and teams review proposals in plain language with versioning and rollback

From periodic hunts to continuous hunting

Hunts when time allows, from intel feeds nobody acts on

Daily hunts across every source, hunts triggered the moment a new report lands, and ad-hoc hunts in plain English

From point-in-time posture to live insights

An annual assessment and a spreadsheet of MITRE coverage

Live coverage by technique and source, and daily findings on identity, data, network, coverage, and cost

From building data pipelines to connecting sources

Artemis connects sources without manual parsers, normalizes every event to OCSF, and correlates across sources automatically

Compare with before Artemis

From alerts to cases

A handful of daily cases, each investigated before anyone opens it, with judgement, evidence, and a staged response

Compare with before Artemis

From authoring detections to supervising the machine that builds detections

Artemis writes and tunes detectors for your environment, and teams review proposals in plain language with versioning and rollback

Compare with before Artemis

From periodic hunts to continuous hunting

Daily hunts across every source, hunts triggered the moment a new report lands, and ad-hoc hunts in plain English

Compare with before Artemis

From point-in-time posture to live insights

Live coverage by technique and source, and daily findings on identity, data, network, coverage, and cost

Compare with before Artemis

Before Artemis

With Artemis

From building data pipelines to connecting sources

Engineers write parsers, normalize fields, and maintain correlation rules for every new source

Artemis connects sources without manual parsers, normalizes every event to OCSF, and correlates across sources automatically

From alerts to cases

A queue of thousands of alerts, each a reconstruction project, few ever investigated

A handful of daily cases, each investigated before anyone opens it, with judgement, evidence, and a staged response

From authoring detections to supervising the machine that builds detections

Detection engineers write and tune rules by hand, and coverage decays between revisions

Artemis writes and tunes detectors for your environment, and teams review proposals in plain language with versioning and rollback

From periodic hunts to continuous hunting

Hunts when time allows, from intel feeds nobody acts on

Daily hunts across every source, hunts triggered the moment a new report lands, and ad-hoc hunts in plain English

From point-in-time posture to live insights

An annual assessment and a spreadsheet of MITRE coverage

Live coverage by technique and source, and daily findings on identity, data, network, coverage, and cost

Set up in days, not quarters

Set up in days, not quarters

Set up in days, not quarters

Week one

Connect

Any source out of the box, with no manual parsers

Custom applications included

Real cases typically within 48 hours

Week one

Connect

Any source out of the box, with no manual parsers

Custom applications included

Real cases typically within 48 hours

First 2 weeks

Baseline

Dozens of adaptive detectors written and tuned for your environment

Coverage baseline by MITRE technique

Existing rules imported and run in parallel, with insights on posture and cost

First 2 weeks

Baseline

Dozens of adaptive detectors written and tuned for your environment

Coverage baseline by MITRE technique

Existing rules imported and run in parallel, with insights on posture and cost

First month

Shift the load

Detection, investigation, and response move to Artemis

Your MDR or legacy SIEM becomes optional

Coverage trending up and time to resolution trending down, on one dashboard

First month

Shift the load

Detection, investigation, and response move to Artemis

Your MDR or legacy SIEM becomes optional

Coverage trending up and time to resolution trending down, on one dashboard

Start week one

Fewer tools with one system that understands your environment

Artemis is one system across the entire security operations lifecycle. The more of your environment it sees, the better every part of it gets.

Fewer tools with one system that understands your environment

Artemis is one system across the entire security operations lifecycle. The more of your environment it sees, the better every part of it gets.

Fewer tools with one system that understands your environment

Artemis is one system across the entire security operations lifecycle. The more of your environment it sees, the better every part of it gets.

Absorbed by Artemis

Absorbed by Artemis

SIEM · UEBA · SOAR automation · Threat hunting tooling · CDR · ITDR · Insider risk · AI D&R

Kept and connected

Kept and connected

EDR · Identity providers · Cloud platforms · Email security · Ticketing and chat

For teams paying an MDR to follow a playbook and still doing the thinking

Artemis investigates every alert independently and hands your team the cases that need a decision. Artemis Apollo adds a senior analyst on every case.

One model of your environment, every source reachable, and plain language across all of it.

Artemis Apollo MDR

96%

of investigations resolved autonomously at Cursor

95%+

reduction in false positives at Canoe Intelligence

4,000+ hours

saved per month for an enterprise security team

See how the world’s top performing security operations teams use Artemis

Book a demo

30 min

See how the world’s top performing security operations teams use Artemis

Book a demo

30 min

FAQs

Questions buyers ask

Does transformation mean replacing the SIEM?

FAQs

Questions buyers ask

Does transformation mean replacing the SIEM?

FAQs

Questions buyers ask

Does transformation mean replacing the SIEM?

Does transformation mean replacing the SIEM?

Not necessarily. Many teams start by running Artemis next to their SIEM and decide at renewal. 70% of Artemis customers have moved off their legacy SIEM onto Artemis.

How is Artemis priced?

On the size of your organization and the number of users, with no charge for ingest, queries, or AI usage.

How is this different from an "agentic SOC" from our platform vendor?

Platform vendors' AI agents usually depend on that vendor's own sensors and data platform, and AI usage is often metered on top. Artemis works across the tools you already run, on one model of your environment, and AI usage is not metered.

Does my team need to learn a new query language?

No. Ask in plain English. When an analyst wants to see or edit the query, the SQL behind every result is visible and editable.

What do we measure in the first 30 days?

Cases closed with a verdict, analyst time saved, detectors written for your environment, MITRE ATT&CK coverage by technique, insights surfaced, and findings your existing tools did not raise in the same window.

Is there a managed option?

Yes. AI MDR adds Artemis analysts who review your cases and respond within the limits you authorize.

See how Artemis can transform your SOC

Detection written for your environment, cases investigated before anyone opens them, hunts running daily, and a coverage baseline your board can read with the tools you already run.

Book a demo

30 min

See how Artemis can transform your SOC

Detection written for your environment, cases investigated before anyone opens them, hunts running daily, and a coverage baseline your board can read with the tools you already run.

Book a demo

30 min

See how Artemis can transform your SOC

Detection written for your environment, cases investigated before anyone opens them, hunts running daily, and a coverage baseline your board can read with the tools you already run.

Book a demo

30 min