Cybersecurity Risks in Real-Time Stock Market Analytics and Digital Marketing Campaigns

Abstract

To safeguard digital infrastructure in this day and age, where cyber threats are always changing, a proactive approach to cybersecurity is necessary. This research explores the implementation of proactive cybersecurity strategies that leverage artificial intelligence-driven threat detection with the aid of Fortinet's FortiAI. Because standard reactive security measures often fall short in countering evolving threats, predictive defense requires artificial intelligence-powered solutions. FortiAI uses deep learning to autonomously detect and eradicate malware, advanced persistent threats (APTs), and zero-day attacks before they can compromise information networks. The application of real-time analysis of massive datasets results in improved threat intelligence, faster response times, and automated threat mitigation. Continuous monitoring, anomaly detection, and the deployment of adaptive protection systems are guaranteed when proactive cybersecurity is combined with artificial intelligence solutions like FortiAI. The results of this research show that cybersecurity frameworks powered by artificial intelligence can improve enterprise security postures, reduce attack surfaces, and increase resilience to changing cyberthreats. The results suggest that a key element of future-proof cybersecurity strategies should include artificial intelligence-powered solutions.