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Responsibilities: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 that can continuously assess whether the organization's cybersecurity posture aligns with compliance frameworks.
Design 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.
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.
As Malaysia's leading mobile telecommunications provider, we look forward to growing together with you.
We believe that our people are our greatest assets and we nurture and develop great talents like yours.
Join our team to begin the journey to success with us today.#J-18808-Ljbffr