Cyber Security Immune System

Artitificial Intelligence Can Detect Threats That Others Miss — And Fight Back !

Recent development of Artificial Intelligence (AI) and Machine Learning (ML) offer a significant opportunity to the cyber security industry. Today, new machine learning methods can vastly improve the accuracy of threat detection and enhance network visibility thanks to the greater amount of computational analysis they can handle. They are also offering a new era of automated response, where a AI based system is sufficiently intelligent to understand how and when to fight back against in-progress threats.

With Darktrace, talk about AI in cyber security has turned into action. – Ovum

Darktrace’s cyber AI platform uses unsupervised machine learning to analyze network data at scale, and makes billions of probability-based calculations based on the evidence that it sees. Instead of relying on knowledge of past threats, it independently classifies data and detects compelling patterns.

Darktrace’s pioneering technology, the Enterprise Immune System, applies AI to the cyber defense challenge for the first time, and has proven itself successful in detecting cyber-threats that existing, legacy systems cannot.

The first-ever autonomous response technology, Darktrace Antigena, allowed the Enterprise Immune System to react to in-progress cyber-attacks in a highly precise way, giving security teams the time they desperately need to catch up. When WannaCry ransomware attacks hit hundreds of organizations in 2017, Darktrace Antigena reacted in seconds, protecting customer networks from the inestimable damage.

In November 2017, the company announced a new business unit, Darktrace Industrial, dedicated to fighting threats in industrial and SCADA networks, building on a strong base of customers that use Darktrace AI to protect critical national infrastructure and operational technology.


Trustaira is the sole Value Added Distributor (VAD) for Darktrace solutions and services in Bangladesh.


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