Darktrace - agentwelt.com

Overview

Darktrace is an enterprise cyber AI platform that uses Self‑Learning AI to model normal behavior for every user, device, and application, then flags and contains anomalous activities in real time. It spans network, cloud, email, OT/ICS, and identity environments, and can take autonomous actions (“Antigena”) to interrupt attacks like ransomware, account takeover, and insider threats within seconds.

Pricing

Bandwidth / Host-Based (Typical Ranges)

Darktrace pricing is custom and often based on monitored bandwidth and number of hosts or sensors; median contracts are around 55,200 USD per year, with some AWS Marketplace listings at 30,000 USD/year for up to 200 hosts and 60,000–100,000 USD/year for 1,000–10,000 hosts.
User reports mention quotes in the 4,000–5,000 USD per month range for mid-size environments, with 5%+ annual price escalators common in multi‑year contracts.

Enterprise Contracts

Larger organizations (multi‑site, global) frequently pay well into six figures annually, depending on data center, cloud, OT, and email coverage.
Pricing is positioned at the premium end of the NDR/XDR market and is generally not targeted at very small businesses.

Trials & Proof of Value

Darktrace commonly offers a 30‑day “Proof of Value” deployment where the system passively monitors traffic and demonstrates detected threats before a full contract.

Key Features

Self‑Learning AI – Builds a continuously updating model of “normal” behavior across users, devices, and applications, rather than relying only on signatures and rules.
Cyber AI Analyst – An “AI analyst” that stitches together events from multiple sources to produce narrative incident summaries, mimicking human investigation at scale.
Antigena Autonomous Response – Takes granular, targeted actions (e.g., throttling connections, enforcing normal behavior) to neutralize threats in seconds while minimizing business disruption.
Coverage across environments – Products for network, cloud/SaaS, email, OT/ICS, endpoint, and identity allow enterprise‑wide detection and response.
Visualization & incident timeline – Rich UI to visualize attacks across the digital estate, showing paths, affected assets, and response actions.

Best Use Cases

Mid‑market and enterprise security – Organizations with complex hybrid environments (on‑prem, cloud, SaaS, OT) needing unified anomaly detection.
Ransomware & zero‑day defense – Environments at high risk of fast‑moving, novel attacks where behavior‑based protection is critical.
OT / critical infrastructure – Industrial and critical infrastructure networks where traditional IT security tools have limited visibility.
Lean security teams – Security operations centers that need AI to triage alerts, investigate incidents, and automate response.
Highly regulated industries – Finance, healthcare, and government organizations needing strong detection and response with clear audit trails.

Pros

✅ Behavior-based, not just signature-based – Self‑Learning AI can surface unknown and zero‑day threats that bypass traditional tools.
✅ Autonomous response at scale – Antigena can contain threats 30x faster than manual workflows, often stopping attacks in seconds.aws.
✅ AI Analyst reduces alert fatigue – Automatically correlates events and produces human‑readable incident reports, easing SOC workload.
✅ Broad, integrated coverage – Single platform spanning network, cloud, email, OT, and identity improves visibility and reduces tool sprawl.

Cons

❌ Premium pricing – Median contracts above 55,000 USD/year and quotes of 4,000–5,000 USD/month make it expensive for SMBs.
❌ Tuning and onboarding effort – Initial learning phase and policy tuning require time and skilled staff to minimize noise and unnecessary actions.
❌ Perceived opacity in pricing – No public price list; negotiations, bandwidth tiers, and yearly increases can complicate budgeting.

Official Website

Darktrace – Official website and Cyber AI platform: https://www.darktrace.com

Release Date: Darktrace founded in 2013 in Cambridge, UK; Antigena autonomous response launched in 2016.

Last Updated: December 2025