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Introducing My Capstone Project: A Foundation for AI-Driven Cyber Resilience in Healthcare I have developed an AI-powered threat hunting and intrusion detection prototype designed to: Detect both known and unknown cyber threats using a dual-model architecture Reduce alert fatigue and improve signal-to-noise ratio in security operations Enable earlier detection of anomalous network behaviour Support proactive, intelligence-driven cybersecurity strategies This is not just a machine learning project. It is a conceptual foundation for a new model of cybersecurity in healthcare, one that aligns with: 1. patient safety 2. clinical continuity 3. diagnostic reliability 4. data integrity and 5. system resilience My long-term vision is to help build AI-enabled, cyber-resilient healthcare ecosystems, where: threat detection is intelligent and adaptive systems are designed with security embedded from the ground up laboratories and hospitals can operate without disruption I am actively looking to collaborate with: 🔐 Cybersecurity Organisations Threat detection & response teams SOC innovation teams AI/ML security researchers Organisations working on next-gen cybersecurity platforms 🏥 Healthcare & Diagnostics Organisations Public health systems (e.g., NSW Health, pathology networks) Diagnostic laboratories and hospital IT teams Digital transformation and innovation units Health informatics and data governance teams 🧠 AI & Data Science Teams Machine learning engineers Applied AI researchers Healthcare AI startups Data scientists working in cybersecurity or healthcare This project is not an endpoint. It is an early-stage concept with the potential to evolve into something impactful with the right people, teams, and environment. If you believe in the future of: secure digital healthcare AI-driven cybersecurity resilient diagnostic systems Then let’s connect. Read upcoming healthcare related cybersecurity blogs on: https://medlabinsights.com Connect with me on linkedin: www.linkedin.com/in/akanksha-saini-