Freelancers using Microsoft Intune in Lagos
Freelancers using Microsoft Intune in Lagos
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ibukun Babalola
Lagos, Nigeria
SOC Analyst |M365 · SIEM · Security Engineer · AI Automation
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SOC Analyst |M365 · SIEM · Security Engineer · AI Automation
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Deployed a cloud-native SIEM integrating Microsoft Azure infrastructure, Windows endpoints, Microsoft 365, and Defender XDR telemetry into a unified detection and response platform. Wrote KQL analytics rules for real-time threat detection covering: privilege escalation, suspicious PowerShell execution, lateral movement via RDP and SMB, anomalous Azure AD sign-ins, and malware execution patterns. Automated incident response using Azure Logic Apps. Reduced log ingestion costs by 20% through optimised data collection, balancing coverage against cost without losing detection fidelity. Published full write-up on Medium: medium.com/@babsib2dk
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Performed a read-only Microsoft 365 security assessment for an 11-user UK logistics company, uncovering two Critical findings: MFA disabled on Global Administrator accounts and an active email forwarding rule on the Finance Manager's mailbox consistent with Business Email Compromise. Delivered a clear priority action plan, all remediable within 72 hours using tools already included in the client's existing M365 licence along with SharePoint sharing controls and Conditional Access policy configuration to close legacy authentication gaps.
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Conducted a full cybersecurity risk assessment for NexaSoft's AWS EKS-hosted Employee Self-Service HR Portal, processing sensitive employee PII including payroll, health records, and government-issued ID. Identified three Critical and five High risks across Azure AD SSO, cloud IAM configuration, and insider privilege controls, aligned to ISO 27001. Delivered a prioritised 90-day remediation roadmap using native AWS and Azure tooling, reducing all Critical risks before go-live and supporting the client's ongoing ISO 27001 certification obligations under Australia's Privacy Act 1988.
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Delivered a GRC-aligned cybersecurity risk assessment for an Azure-hosted AI-Driven HR Analytics Service processing employee PII and behavioural data. This engagement went beyond conventional security reviews to address AI-specific risks including data poisoning and model bias that carry direct legal exposure under the Canadian Human Rights Act and the proposed AI and Data Act (AIDA). Identified five High risks and produced a mitigation strategy using Azure-native controls, alongside governance recommendations to ensure compliant and auditable AI decision-making ahead of AIDA enforcement.
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