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Automate cybersecurity systems

Utilise learning systems to effectivel and swiftly respond to security threats, many of which may have been delivered with machine learning support. This is a game where every innovation in defence triggers the next innovation in attack - and vice versa.

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Risk reduction

Risk reduction - Reduce data theft risk

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Risk reduction

Risk reduction - Malware reduction

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Operational

Operational - Increased machine uptime

Executive Overview

Automate cybersecurity systems

Linked Case Studies

Giunti, an Italian publishing house, detects cybersecurity threats in real-time using machine learning

Tencent detects malware on Android phones in real-time using deep neural networks

NovAtel plans to reduce hacking risk through its GPS services to vehicles through deploying Darktrace''s AI-enabled security software

British Telecom

British Telecom improves network security by using machine learning to detect real-time cyber threats

Quickplay (AT&T)

Quickplay safeguards its data and interconnected systems with Darktrace’s AI-enabled cyber security product

The Scottish Government

The Scottish Government is protecting its sensitive data against cyber threats using machine learning

Servizi in Rete

Servizi in Rete detects cyber-security threats in real-time using unsupervised machine learning to classify every action in the network

DNK protects its system from cyber threats and proactively defends it with a self-learning threat detection solution

United Service Organizations (USO)

USO predicts cyber attacks using machine learning to analyse activity at network end points

Metropolitan Pathologists (MetroPath)

MetroPath mitigates cyber threats using Darktrace''s network monitoring and machine learning

United World College of South East Asia

United World College of South East Asia is providing security to its digital education by tackling cyber threats using machine learning

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Source: appliedai.com · Editor: original-sdg