Yogesh Yadav

About Yogesh Yadav

I lead enterprise AI Security Engineering at Verizon Cyber Security, where I architect and operationalize secure AI adoption at scale across agentic, AI/ML, and cloud-native platforms.With 20+ years of experience spanning security architecture, DevSecOps automation, and enterprise transformation, I specialize in building automation-first security control planes that embed governance, identity, and risk management directly into modern engineering ecosystems.Today, I focus on securing AI Agents and Model Context Protocol (MCP) environments by designing enterprise IAM fabrics that provide AI systems with verifiable identity, governed access, policy enforcement, and end-to-end traceability. My work enables responsible scaling of autonomous systems aligned to Zero Trust and enterprise risk standards.Across Verizon and Cisco, I have built and scaled security automation platforms supporting thousands of engineers, thousands of CI/CD pipelines, and millions of artifacts—transforming manual compliance into embedded, automated security validation.My leadership philosophy centers on three pillars:• Secure-by-design AI architecture• Automation over manual control• Governance embedded into engineering workflowsI am passionate about advancing enterprise AI security maturity—bridging architecture, governance, automation, and research to enable safe, scalable AI innovation.Core Expertise- AI Security Strategy- AI Agent Identity & Governance- Secure AI/ML Architecture- DevSecOps & Security Automation- AI Threat Modeling & Red Teaming- Cloud & Container Security- Zero Trust Architecture- Enterprise Security Transformation- Secure SDLC & Platform Engineering

Experience

1. Ai Security Engineering - Associate Director

   Verizon

   Mar 2025 — Present · Cary, NC, US

   Lead enterprise AI Security Engineering across Verizon’s AI initiatives within Cyber AI Services, partnering with executive leadership to define scalable AI governance models.• Designed and operationalized an enterprise AI identity fabric providing AI Agents with verifiable identity, scoped authorization, policy enforcement, and full lifecycle traceability aligned with Zero Trust principles• Defined governance controls for AI Agents and MCP servers to secure service-to-service interaction, prevent privilege escalation, and ensure runtime accountability• Architected AI security control planes integrating identity, secrets management, logging, and Zero Trust access enforcement• Established continuous AI threat modeling practices addressing prompt injection, model poisoning, tool misuse, data exfiltration, and autonomous agent abuse• Evaluated, selected, and enabled an enterprise AI Red Teaming and AI Threat Modeling platform, embedding automated adversarial testing into development workflows and reducing manual validation effort by 60%• Enabled enterprise-wide secrets detection platform integration within CI/CD pipelines to prevent credential leakage and strengthen AI supply chain security• Collaborate with Enterprise Architecture, Identity Services, and Cyber AI Services leadership to define scalable AI governance operating models• Drive automation-first security controls across AI pipelines to accelerate secure AI deployment while maintaining regulatory compliance• Aligned AI security governance frameworks with enterprise risk management and emerging AI regulatory standards like NIST AI RMF

Education

• Osmania University

  Master of Computer Applications - MCA, Computer Science

  1993 — 1996

• North Carolina State University

  Master of Business Administration - MBA, AI Initiative and Business Analytics

  2021

Skills

• Pre-Sales
• Software Development
• Pmp
• Leadership
• Agile Methodologies
• Management
• Project Delivery
• Agile Project Management
• Product Management
• Project Management
• Databases
• Business Analysis
• Global Delivery
• Sdlc
• IT Strategy
• Solution Architecture
• Vendor Management
• Quality Assurance
• Requirements Analysis
• Program Management
• IT Service Management
• Software Project Management
• Strategy
• Training