Darktrace builds self-learning cybersecurity software that models normal network, cloud, and email behavior in real time, then uses autonomous agents to detect and contain anomalies without waiting for known threat signatures.
Darktrace provides a cybersecurity platform built around behavioral AI. Its Darktrace DETECT product identifies anomalous activity across customer environments, while Darktrace RESPOND is designed to take targeted actions to contain active threats.
Darktrace was incorporated in 2013 and is headquartered in Cambridge, England. The company reported more than 9,400 customers at the end of its fiscal year ended June 30, 2024. Thoma Bravo completed its acquisition of Darktrace in October 2024, returning the company to private ownership.
Documented from public materials · these are the products the AMS scores
Darktrace/DETECT
Shipping date not publicly documented
Darktrace DETECT uses self-learning AI to establish patterns of normal activity and identify anomalous behavior across an organization's digital environment. Darktrace presents DETECT as a current platform product; a first-shipping date is not public.
Darktrace/RESPOND
Currently offered
Darktrace RESPOND evaluates response options and can take targeted autonomous actions intended to interrupt active threats. Darktrace describes response actions as configurable to the customer's environment; a first-shipping date for the current product name is not public.
Darktrace Cyber AI Analyst
Darktrace Cyber AI Analyst
Cyber AI Analyst automates security incident investigation, correlating related alerts into a single narrative, forming hypotheses, and producing analyst-style reports. It is designed to compress investigation workflows normally performed by human SOC analysts.
2024 - 2026 ·gold = a monetization move· grey = product or capital
Thoma Bravo announced a definitive agreement to acquire Darktrace. The transaction was an ownership event and did not announce a public change to Darktrace product pricing or packaging.
Thoma Bravo completed its acquisition of Darktrace, taking the company private.
Darktrace's FY 2024 annual report describes a subscription business. It states that customers generally commit to contracts of one to five years and are generally billed annually in advance.
Darktrace publicly identifies DETECT and RESPOND as separate products, but the reviewed public materials do not publish a rate card, a standard pricing metric, or mandatory package composition. Pricing not public.
No public discount schedule was identified in the reviewed materials. No reliable public evidence identifies a separate usage meter or standalone price for autonomous-response or agent-like capabilities.
Analyst layer · placement follows the documented capability above
Independence: M. Darktrace documents that RESPOND can take targeted autonomous containment actions, but its public materials also describe customer configuration of response behavior. The public record supports meaningful automation within a managed security workflow, not demonstrably unattended operation across all security decisions.
Job width: M. The documented DETECT and RESPOND workflow spans detection and containment within the cybersecurity function. It does not document an end-to-end workflow that crosses into unrelated business functions such as finance, legal, or customer operations.
Output versus cost: Linear. Darktrace documents automated detection and response capability, but the reviewed public sources do not provide a verified output-to-cost multiplier. This provisional position therefore remains conservative and does not infer inflecting or exponential gains from vendor capability descriptions alone.
Monetization pattern. Darktrace's public filing describes recurring subscriptions with generally annual advance billing and multiyear commitments. The filing and current product materials do not disclose an agent-specific meter, public list price, or published discount framework; pricing not public.
| Edition | AMS score | Metric on record | Change |
|---|---|---|---|
| AUG 2026 | M · M · Linear | 2026-09 | M · M · Linear |
Future editions add a row whenever the score or the metric moves, with the evidence that moved it.
About this data
Everything on this page is a synthesis of public information: published reporting, vendor documentation, and procurement data that anyone can access. We link to those sources throughout. Nothing on this page draws on private or confidential information, and the positions are Monetizely's analysis of that public record, refreshed monthly.