AI should be implemented as an important tool in cybersecurity infrastructures, as it can process data more efficiently than algorithmic code, which is the basis of defense mechanisms. Humans cannot often cope with the massive amounts of data received by a network daily, which can be addressed through AI detection. Some new AI cybersecurity platforms brand themselves as finding inspiration from natural immune systems, as the system can detect, remove, and remember threats and train itself based on them as well. AI can accurately predict human behavior in certain security situations, allowing it to address human security weaknesses as well as mechanical ones. Anomaly-based cybersecurity is especially benefited by AI implementation, due to the machine’s superior ability to find patterns and compare them to large datasets of previous threats. This can create issues if implemented in government infrastructures, as the biases of AI-based cybersecurity may reflect the prejudices that are prevalent in that society. AI can also be used by malicious actors to enhance their attacks as well, which is why it should likely be implemented into defense strategies.
