Vivek Yadav — DevOps Engineer

An AI Security–focused Cloud Security Architect securing production-scale LLM and RAG systems across multi-cloud environments including Azure, AWS, GCP, and OCI. My expertise spans both AI Platform Security and Product AI Security, helping organizations safely adopt generative AI while embedding governance, trust, and compliance into their workflows. I specialize in securing LLM/RAG platforms and multi-tenant AI infrastructure on services such as Azure AI Services, Google Vertex AI, and other cloud-native AI platforms. My focus includes: 1- LLM threat modeling, prompt injection prevention, and data leakage mitigation 2- Model access governance and tenant isolation 3- AI Security Posture Management (AI-SPM), AI governance frameworks, and driving AI security adoption 4- Multi-cloud security across CSPM, CWPP, CNAPP, and other cloud-native controls 5- Embedding security-by-design in cloud-native, containerized, and CI/CD AI pipelines At the product level, I help secure customer-facing AI features and generative AI applications, including: 1- Abuse prevention, misuse detection, and runtime monitoring, leveraging Prompt Security and Usage Security 2- Data protection and privacy-safe model APIs, integrating AI Data Security and Model Security 3- Trust & Safety controls for AI-driven applications, including AI-BOM Security and other safeguards for responsible AI deployment I leverage and integrate modern AI security tools such as Vectra AI, Protect AI, Prompt Security, and cloud-native AI security services to automate threat detection, enforce policies, and strengthen AI system defenses. I bring deep experience in DevSecOps automation, container/Kubernetes security, and embedding security-by-design into AI and cloud-native workflows, enabling scalable, compliant, and trustworthy deployment of AI systems.

Stackforce AI infers this person is a Cloud Security Architect specializing in AI Security within multi-cloud environments.

Location: Noida, Uttar Pradesh, India

Experience: 12 yrs 1 mo