AI Cybersecurity
AI cybersecurity uses artificial intelligence tools to help detect, mitigate, and protect against cyber threats. Its underlying technologies include machine learning (ML) and deep neural networks. These techniques help AI learn and improve from previous data without explicit programming, enabling the technology to rapidly evolve in response to new threats and evolving attack strategies. In addition, ML algorithms help the technology better understand how users communicate and their typical behavior, identifying patterns that might indicate a cyber attack. This can be particularly effective in preventing advanced attacks like spear phishing, which involves attackers impersonating high-profile individuals like company CEOs.
Once a threat is detected, AI can quickly identify and respond in real time to minimize damage and disruption. For example, it can prioritize vulnerabilities and automate responses by blocking malicious traffic and isolating affected systems. It can also alert and notify cybersecurity teams, giving them the time they need to assess and manage each incident.
AI can also help defend against attacks targeting industrial control systems. The technology can monitor vast amounts of data from industrial control systems to identify any unusual patterns or behaviors that might indicate a cyber threat. The system can then take action to quickly detect and block any malware that is trying to enter the network or access critical infrastructure equipment.
However, there are still many challenges when deploying AI in cybersecurity. For example, it is important to ensure that AI models are safe from tampering and that they process information ethically. This includes ensuring that they do not inadvertently violate privacy rights or become biased in their decision-making processes.