AI Threat Detection & Responseby Darktrace

Darktrace

Self-learning AI that detects and responds to novel threats in real time

Darktrace's Enterprise Immune System uses self-learning AI to build a dynamic understanding of normal behaviour across your organisation — detecting and autonomously responding to novel threats that rule-based systems miss.

Network Appliance (Physical)Virtual ApplianceSaaS (Cloud-delivered)

About Darktrace

Darktrace's fundamental innovation is the application of unsupervised machine learning to the cybersecurity problem — rather than relying on rules, signatures, or known threat indicators, Darktrace learns what 'normal' looks like for every user, device, and network in your organisation, then detects deviations from that normal that may indicate a threat. This approach is particularly valuable for detecting novel attacks — threats that have never been seen before, insider threats that don't match external attack signatures, and sophisticated adversaries who deliberately avoid triggering rule-based detection. Darktrace Antigena, the platform's autonomous response capability, can take surgical action to contain threats in real time — blocking specific connections, slowing data transfer, or enforcing behaviour patterns — without disrupting legitimate business activity. For organisations in the UAE and GCC, Darktrace provides coverage across IT, OT/ICS, email, and cloud environments from a single platform, with explainable AI outputs that security teams can understand and auditors can review.

Certifications
ISO 27001SOC 2 Type IICyber Essentials Plus

Key Features

Self-Learning AI (Enterprise Immune System)

Unsupervised machine learning builds a dynamic model of normal behaviour for every user, device, and network entity — detecting anomalies that indicate threats without requiring rules, signatures, or prior threat knowledge.

Autonomous Response (Antigena)

AI-powered autonomous response takes surgical, proportionate action to contain threats in real time — operating at machine speed where human response would be too slow, while minimising disruption to legitimate activity.

Email Security (Darktrace/Email)

Self-learning email security that detects sophisticated phishing, BEC, and account takeover attempts by understanding the normal communication patterns of each individual user — not relying on signature-based detection.

OT/ICS Security

Extends self-learning AI to operational technology environments — industrial control systems, SCADA, and critical infrastructure — providing visibility and threat detection without requiring OT-specific signatures.

Cloud Coverage

Darktrace/Cloud provides AI-native security for cloud environments — detecting misconfigurations, insider threats, and novel attack patterns in AWS, Azure, and GCP without relying on cloud provider security alerts alone.

Explainable AI

Every Darktrace alert includes a human-readable explanation of the anomalous behaviour detected, the threat type, and the confidence level — enabling analysts to quickly validate and prioritise genuine threats.

Common Use Cases

How organisations in the UAE and GCC are deploying Darktrace to address their most pressing security challenges.

  1. 1Novel threat detection — identifying zero-day attacks and unknown threat actors that evade rule-based detection
  2. 2Insider threat detection — detecting malicious or compromised insider behaviour through behavioural deviation
  3. 3OT/IT convergence security — unified visibility across IT and operational technology environments
  4. 4Autonomous incident containment — reducing dwell time through real-time autonomous response
  5. 5Email compromise detection — identifying sophisticated BEC and account takeover attempts

Ideal For

Darktrace is the right fit for these types of organisations.

Organisations with significant OT/ICS environments requiring unified IT/OT security visibility

Security teams overwhelmed by alert volume wanting AI-driven prioritisation and autonomous response

Businesses in critical infrastructure sectors where novel threats are a primary concern

Why implement Darktrace with CYVOXAI?

Darktrace's self-learning capability requires careful onboarding to ensure the AI baseline reflects genuine normal behaviour rather than incorporating existing threats or anomalies. CYVOXAI's Darktrace-certified engineers manage the onboarding process, configure autonomous response thresholds appropriate to your environment, and tune the platform to minimise false positives in your specific network context. We provide ongoing review of AI model performance and threat findings to ensure the platform continues to deliver value as your environment evolves.

Deployment Options
  • Network Appliance (Physical)
  • Virtual Appliance
  • SaaS (Cloud-delivered)
Certifications
  • ISO 27001
  • SOC 2 Type II
  • Cyber Essentials Plus

Ready to deploy Darktrace?

Our certified engineers handle implementation, configuration, and ongoing support — so you get maximum value from the platform from day one.