The article emphasizes the need for accelerated research and development in AI to address potential vulnerabilities, especially to critical infrastructure. It suggests that AI will disrupt operational cybersecurity models, necessitating continual adaptation of risk management approaches and technology implementation. The article concludes by stating that a thorough understanding of AI's potential uses, benefits, and drawbacks is necessary for the future of cybersecurity.
Key takeaways:
- Artificial intelligence (AI) and machine learning (ML) are increasingly essential to cyber operations and have become a major emphasis area of cybersecurity research development.
- AI can assist cybersecurity in various ways such as facilitating more effective decision-making, monitoring network activity in real-time, enabling automated and adaptable network applications, and assisting Security Orchestration Automation and Response (SOAR) products.
- AI and ML can also be double-edged swords that criminal hackers can utilize for bad intentions. Criminal hackers have embraced AI at a rate that is faster than most commercial cybersecurity teams.
- There is an urgency to address potential vulnerabilities by these actors, especially to critical infrastructure. R&D in AI between the public and private sectors, as well as allied nations, needs to be accelerated and are essential to advancing advanced capabilities and filling in cyber gaps.