AI and Cybersecurity
Cybersecurity professionals are increasingly using AI to streamline incident response and identify the root cause of threats. By automating the detection, analysis and mitigation of attacks, teams can respond quickly to mitigate breaches and reduce the impact on their organisation’s reputation and business operations.
Unlike traditional security tools, which are built on rigid rules, AI-powered solutions use dynamic threat models that can adapt and learn in real time to detect emerging threats. In addition, these systems can be integrated with existing cybersecurity infrastructure to streamline processes and enable faster response times.
However, cybersecurity leaders must be mindful of the risks associated with using AI in their organisation. These include data breaches, tampering and malicious use of AI for the purpose of delivering offensive content or conducting attacks. Keeping these risks in mind, it is important to craft explicit AI security strategies and implement security controls at all stages of an AI’s lifecycle, including development, training and deployment.
This includes ensuring that the data used to train an AI model is safe, and that it can be trusted. Additionally, it is crucial to ensure that the AI system can be securely supervised and managed by humans to minimize the risk of attackers exploiting weaknesses in the system. The NCSC’s comprehensive guidance on advancing responsible AI for America’s critical infrastructure can help stakeholders understand these risks and prepare to protect their organisations from them.