I invite colleagues from both cybersecurity and AI research communities to share their experiences, recent findings, or insights into emerging technologies, practices, and challenges. Additionally, if anyone has successfully implemented very recent AI solutions in cybersecurity for critical infrastructure, I would love to hear about the real-world applications and the lessons learned.
I have experience in radar infrastructure and cybersecurity requirements during the deployment of 5G spectrum. Also law enforcement applications of AI.
Priynka Sharma
In my experience, combining AI and cybersecurity has proven transformative, especially in securing critical infrastructure like smart grids. I implemented machine learning-based anomaly detection to identify electricity theft and unauthorized access in real-time, leveraging synthetic attack scenarios for model training. A key lesson was ensuring robust data quality to minimize false positives, which could disrupt operations. Additionally, AI-driven predictive analytics allowed proactive identification of vulnerabilities in IoT devices within smart meter networks. While AI solutions excel in scalability and speed, I found that human oversight is crucial for addressing ethical concerns and ensuring context-aware decision-making.
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