ML-era in cybersecurity: A step toward a safer world or the brink of chaos?

Minimalist · Feb 22, 2019

While artificial intelligence (AI) and machine learning (ML) have been transforming various fields of human activity for some time now, their full transformative potential is yet to be realized. ML-based technologies will increasingly help fight fraud, evaluate and optimize business processes, improve testing procedures and develop new solutions to existing problems.

However, like most disruptive innovations, even machine learning will have its drawbacks.
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https://www.welivesecurity.com/2019/02/22/ml-era-cybersecurity-step-toward-safer-world-brink-chaos/

itman · Feb 22, 2019

Of note:

Another in-the-wild example that shows ML-like signs is the currently prevalent downloader Emotet, suspected of using this type of technology to improve its targeting. Despite infecting thousands of victims daily, it has become surprisingly effective in avoiding honeypots and botnet trackers.

To achieve this, Emotet collects telemetry of its potential victims and sends it to the attacker’s C&C server for analysis. Based on these inputs, the malware not only picks the modules included in the payload, but also distinguishes human operators from virtual machines used by researchers.
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Which means that methods employed in targeted attacks will be easier to deploy and become more widespread.

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ML-era in cybersecurity: A step toward a safer world or the brink of chaos?

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