ai malware
AI is making its mark on the cybersecurity world.
For defenders, AI can help security teams detect and mitigate threats more quickly. For attackers, weaponized AI can assist with a number of attacks, such as deepfakes, data poisoning and reverse-engineering.
But, lately, it’s AI-powered malware that has come into the spotlight — and had its existence questioned.
AI-enabled attacks occur when a threat actor uses AI to assist in an attack. Deepfake technology, a type of AI used to create false but convincing images, audio and videos, may be used, for example, during social engineering attacks. In these situations, AI is a tool to conduct an attack, not create it.
AI-powered malware, on the other hand, is trained via machine learning to be slyer, faster and more effective than traditional malware. Unlike malware that targets a large number of people with the intention of successfully attacking a small percentage of them, AI-powered malware is trained to think for itself, update its actions based on the scenario, and specifically target its victims and their systems.
IBM researchers presented the proof-of-concept AI-powered malware DeepLocker at the 2018 Black Hat Conference to demonstrate this new breed of threat. WannaCry ransomware was hidden in a video conferencing application and remained dormant until a specific face was identified using AI facial recognition software.
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