Peace Ikemefuna
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The Future of AI-Driven Healthcare Security: Sentinel HealthGuard
Healthcare organizations face relentless cyber threats due to the immense value and sensitivity of patient data. Sentinel HealthGuard is a next-generation, cloud-native platform that harnesses advanced AI to proactively detect, analyze, and neutralize security threats in real time, by safeguarding electronic health records and ensuring regulatory compliance. By combining intelligent anomaly detection, automated incident response, compliance with medical records handling processes, and vast cloud security frameworks, this solution changes how healthcare data is protected in an increasingly digital world.
Meet Peace
Peace is a Cloud Security Engineer with a strong foundation in both cybersecurity and cloud technologies. Her technical skills include Cloud Security, risk management, CIS benchmarks, ISO 27001, AWS, Azure, and ISO 27017. She brings a holistic approach to security, as she leverages analytical thinking, problem-solving, effective communication, and teamwork to deliver problem-solving specific solutions.
Her project experience, amongst others, spans setting up secure web applications for fashion retail, and implementing data privacy and protection strategies for healthcare and fintech industries. She holds a degree in Applied Biochemistry from Nnamdi Azikiwe University and she's currently pursuing a one-year Cloud Engineering Diploma at AltSchool Africa.
Click the button below to see the extra features I intend adding to this project in the future.
- AI-Driven Patient Privacy Compliance Auditor: Automated platform integration to scan cloud health data for compliance gaps and privacy violations.
- Cloud-Based Medical Device Security Monitor: A feature that will allow AI detect abnormal behavior in connected devices to prevent unauthorized access, as a process of reducing unauthorized access that can open doors to breach.
- Predictive Ransomware Defense System for Hospitals: This will contain a feature that uses AI and cloud analytics to anticipate and block ransomware attacks.
- Healthcare Insider Threat Detection Platform: This will feature an AI model that identify suspicious insider activity in cloud-hosted systems, by leveraging existing signatures or known usual activities. It will detect the activity, log each suspicious actions, and provide details that will aid the SOC team in analyst.