AI in the Battle for Cybersecurity, Defender or Threat?

AI is changing the way we think about cybersecurity, but it also raises important questions about what happens when both defenders and attackers use this technology.
The use of artificial intelligence (AI) in cybercrime has led to the development of sophisticated malware capable of evading traditional detection methods. Attackers exploit AI technologies to enhance the stealth, adaptability, and efficiency of their malicious software.

The Dark Side of Innovation:
AI alignment can emerge at various stages of development, from the people creating the AI to the data used for training, and even within the algorithms that guide decision-making. Developers might accidentally add bias based on their views, and unbalanced data can distort AI results, causing mistakes like false positives or negatives. Additionally, algorithms that try to recover for data gaps can create new problems by overcorrecting, increasing errors in the system. It's crucial to ask ourself how an AI was trained, who built it, and to ensure that expertise in data and algorithmic modeling is employed to improve accuracy.

1 - AI in Malware Development:

Polymorphic malware:
To explore how attackers use AI to create sophisticated malware that can evade detection, let's leverage some of the famous AI malware: "Blackmamba", is an AI powered polymorphic malware, which alters its code to....

Author

Tarik Achoughi