Challenges of Integrating AI into Cybersecurity
Integrating Artificial Intelligence (AI) into cybersecurity offers significant benefits, such as enhanced threat detection, predictive insights, and automation of repetitive tasks. However, this integration also presents unique challenges and risks, particularly the potential for AI systems themselves to be exploited by malicious actors. In this blog, I intend to share with you the top challenges that make integrating AI into the space of cybersecurity an ongoing challenge. In my next article, I will research on recommendations to address these.
Top Challenges that stands between AI and Cybersecurity Integration
1. When the data used to trained is intentionally altered or Poisoned
AI systems in cybersecurity often rely on machine learning, which requires large datasets for training. If malicious actors can influence or poison this training data, they can easily manipulate the AI model. For instance, attackers could introduce subtle, misleading patterns into the data, causing the AI system to make incorrect predictions or fail to detect actual threats…
