Cybersecurity Architect | Cloud-Native Defense | AI/ML Security | DevSecOps | Certified ISO/IEC 42001:2025 AIMS Lead Auditor With over 23 years of experience in cybersecurity, I specialize in designing and building resilient, zero-trust digital ecosystems across multi-cloud environments (AWS, Azure, GCP) and Kubernetes platforms (EKS, AKS, GKE). My journey began in network security—firewalls, IDS/IPS—and expanded into Linux/Windows hardening, Identity and Access Management (IAM), and DevSecOps automation using Terraform, GitLab CI/CD, and policy-as-code technologies such as OPA and Checkov. Today, my focus extends to AI governance and AI/ML security, supported by my certification as an ISO/IEC 42001:2025 Artificial Intelligence Management System (AIMS) Lead Auditor. I help organizations establish governance, risk management, security, and assurance practices for responsible AI adoption while aligning AI initiatives with organizational and regulatory requirements. From a technical security perspective, I focus on MLSecOps, protecting AI/ML models and pipelines against adversarial threats using technologies such as Robust Intelligence and Microsoft Counterfit. I also integrate AISecOps capabilities for intelligent threat detection and investigation, leveraging platforms such as Darktrace and Microsoft Security Copilot, while automating incident response through forensics-driven workflows with Elastic SIEM and TheHive. Whether it’s hardening cloud-native infrastructure, embedding security into CI/CD pipelines, governing enterprise AI adoption, or safeguarding AI systems, I bridge the gap between cybersecurity, AI governance, and innovation—ensuring that security and trust scale with technological velocity. Let’s connect and discuss the future of secure, governed, and intelligent infrastructure.