Artificial intelligence (AI) and machine learning (ML) are actively shaping the cybersecurity landscape. This year, we'll likely see a further rise in their application:
- Enhanced Threat Detection: AI and ML algorithms excel at identifying patterns and anomalies, translating to quicker detection of and reaction to potential cyber threats.
- Predictive Analytics: AI can predict potential vulnerabilities and suggest proactive measures by analysing past cyberattacks and security incidents.
- Automated Response: AI can be programmed to automatically isolate compromised systems as well as block malicious activity and trigger incident response procedures. This saves valuable time and reduces the potential impact of attacks.
AI and ML offer significant benefits. But it's important to remember they are tools, not magic solutions. Deploying them effectively requires skilled professionals - experts who can interpret the data and make informed decisions.