Principal-level security architect focused on designing AI-ready, data-centric security architectures for modern enterprises.
I am a Principal Security Architect with over 17 years of experience designing and delivering enterprise-scale security architectures across cloud, SaaS, and data-driven environments.
My work sits at the intersection of AI security, data protection, and Zero Trust—helping organizations adopt emerging technologies like LLMs, copilots, and autonomous agents without compromising regulatory compliance, performance, or trust.
I specialize in translating complex business, regulatory, and risk requirements into practical, scalable security architectures. This includes Secure Service Edge (SSE), Zero Trust, Data Loss Prevention (DLP), Data Security Posture Management (DSPM), identity governance, and AI security guardrails.
Over the years, I’ve partnered closely with CISOs, CTOs, and senior engineering leaders across financial services, healthcare, telecom, and high-tech sectors—supporting organizations with tens of thousands of users operating across multi-cloud and global environments.
As enterprises rapidly adopt generative AI, traditional perimeter-centric and SaaS-only security models are no longer sufficient. My recent work has focused on defining AI-ready security frameworks that extend Zero Trust and SSE principles into AI-driven workflows.
This includes governance models for LLM access, sensitive data inspection, prompt-level controls, model access policies, and integration with emerging industry standards such as NIST AI Risk Management Framework and OWASP LLM Top 10.
Beyond hands-on architecture, I regularly serve in an advisory capacity—leading executive workshops, architecture reviews, and strategic planning sessions for security leadership teams.
I’ve supported large-scale security transformation initiatives, competitive platform evaluations, and high-stakes proof-of-value programs, often acting as the technical escalation point for complex or high-risk deployments.
This site is a collection of architecture notes, design patterns, and practical insights drawn from real-world deployments and advisory work. It is intended for security leaders, architects, and engineers navigating the shift toward AI-driven, data-centric enterprise environments.
The perspectives shared here evolve as the threat landscape, technology ecosystem, and regulatory expectations continue to change.