Harish Gaggar is a technology leader with more than two decades of experience building secure, scalable infrastructure for AI and data platforms that improve developer productivity. He has developed enterprise AI infrastructure that supports the secure deployment of agents in air-gapped cloud environments, including an MCP gateway designed from the ground up to enable developers and AI agents to access internal systems through dedicated MCP servers for each backend.
Beyond his industry work, Harish contributes to the broader technology and research community through his book, journal publications, research, and speaking engagements at industry conferences. He has also served on industry program committees, mentored researchers, and reviewed research papers in artificial intelligence.
His work reflects a continuing focus on building practical, secure, and scalable foundations for the next generation of enterprise AI systems.
Vulnerability prioritization is not a language problem. The safest agent architectures use models to interpret and explain, while deterministic systems traverse the evidence. Ask a security team a simple question: Of the ...