Cybersecurity Compliance Specialist

Job Description:

• Identify and evaluate Cybersecurity goals, deliverables and responsibilities involved in integrating artificial intelligence (AI) and machine learning (ML) to address both internal and external business demands.
• Implement AI-driven monitoring systems can continuously assess whether the organization’s cybersecurity posture aligns with compliance frameworks. 
• Designing methodology to solve security problems and support planning decisions using advanced analytics and statistical/machine learning models.
• Transform the way of work, discover automation opportunities, and implement automation strategies, resulting in enhanced operational efficiency and streamlined processes.
• Development of interactive dashboards powered by AI insights, including real-time alerts, threat monitoring, and system health metrics to assist in visualizing cybersecurity posture. 
• Leverage AI and machine learning to enhance dashboard functionality, such as implementing predictive analytics and anomaly detection models that can highlight potential security risks and threats.
• AI Automated Compliance reports by analyzing system logs, security events, and incident response actions. These reports can be tailored for specific regulatory requirements, ensuring that the organization is prepared for audits. 
• Explore and adopt new technologies and methodologies to improve the Security capabilities and impact of digital tools. 
• Collaborate with business users to integrate automation and AI into cross-functional business processes to drive operational efficiency and efficacy.
• Integrate multiple data sources such as SIEM, EDR, cloud environments, threat intelligence feeds, and vulnerability scanners into the dashboards.

Requirements:

• 3+ years of experience in cybersecurity, AI, or data analytics roles, with specific experience in dashboard development and data visualization.
• Strong programming skills in languages such as Python, JavaScript, or SQL for data manipulation and dashboard integration.
• Proficiency in building and maintaining dashboards using tools such as SharePoint, Power BI, Grafana, Kibana, or custom web-based solutions (e.g., React, D3.js).
• Experience with integrating security tools (e.g., SIEM, EDR, IDS/IPS) into visualizations and automating data collection and presentation.
• Understanding of machine learning models and their application in cybersecurity for threat detection and anomaly identification.
• Experience in building or managing Security Information and Event Management (SIEM) systems and integrating them with dashboards.