Darktrace

Darktrace

AI autonomous cyber defense

Security Application

What it's used for

Darktrace is an autonomous cyber defense platform that uses self-learning AI to detect and respond to novel threats, insider attacks, and anomalous behavior across an organization's entire digital estate. It detects threats that rule-based tools miss.

  • Self-learning AI — Learns your organization's unique 'pattern of life' and detects deviations, without relying on threat signatures
  • Autonomous Response (Antigena) — Takes targeted micro-actions to neutralize threats in real time without disrupting operations
  • Network detection — Monitors east-west and north-south network traffic for anomalous communications
  • Email security — Detects sophisticated phishing, business email compromise, and social engineering attacks
  • Cloud and SaaS — Extends self-learning AI to AWS, Azure, GCP, Microsoft 365, and other cloud environments
  • OT/IoT security — Protects industrial control systems and IoT devices with specialized models

Security teams use Darktrace as an always-on analyst that catches threats human teams would miss. SOC teams reduce alert fatigue with AI-prioritized investigations. OT environments get visibility into previously unmonitored industrial networks.

Darktrace's strength is catching genuinely novel attacks — zero-days, insider threats, and supply chain compromises. Visit darktrace.com.

Getting started

  1. Contact sales at darktrace.com for a Proof of Value (PoV) trial
  2. Pricing:
    • Enterprise pricing — Custom quotes based on network size, modules selected, and deployment scope
    • Modules: DETECT (detection), RESPOND (autonomous response), HEAL (incident recovery), PREVENT (attack surface management)
    • Annual licensing — Typically sold as annual subscriptions
  3. Deployment:
    • Install virtual sensors (probes) on your network — usually 1-2 days for initial setup
    • Sensors passively analyze traffic without impacting performance
    • Connect cloud environments via API integrations
  4. Learning period — The AI observes your network for 1-2 weeks, building a model of normal behavior before flagging anomalies
  5. Review and tune — Use the Threat Visualizer dashboard to review detections and configure Autonomous Response policies
Tip: Start with DETECT only and observe for 30 days before enabling Autonomous Response. This lets you calibrate sensitivity and build confidence in the AI's judgment.

No case studies yet

Be the first to share a Darktrace case study and get discovered by clients.

Submit a case study

Related tools in Security

Need a Darktrace expert?

Submit a brief and we'll match you with vetted specialists who have proven Darktrace experience.

Submit a brief — it's free