Every AI use case exposes new threat surfaces and vulnerabilities the moment it goes live — a chatbot, a RAG system, an agentic workflow, each surfacing gaps that didn't exist before deployment. Most organizations end up reacting one vulnerability at a time, calling a different vendor for each newly exposed aspect. We built a team that secures every AI use case an organization runs — not just pieces of one.
We don't hand over a PDF of vulnerabilities and disappear. Every engagement carries findings through to runtime controls and access changes.
Off-the-shelf policy packs catch generic attacks. We calibrate defenses from what testing reveals about your specific systems.
The moment a model can call a tool, the conversation is the attack surface for an action — so we treat it with the rigor of IAM, not just content filtering.
We map to OWASP, MITRE ATLAS, and NIST AI RMF because it lets findings plug into governance your team already runs — not to collect logos.
Founder & CISO
Founder & Chief Information Security Officer, SecuredAI · MS, MBA, CISSP, CCSP, CISM, CSSLP
Ajay founded SecuredAI to close a gap he saw widening across the industry. Enterprises were racing to deploy chatbots, RAG systems, and agentic AI workflows faster than the data governance and security foundations underneath them could keep up. His approach starts from foundational first principles, beginning with the requirement that data layers must be mapped and controlled before any AI push, not after.
He brings over 20 years of experience scaling global engineering and data organizations at Oracle and Intel. He served as Senior Director at Oracle Applications Labs, where he owns architecture and delivery for Oracle's internal enterprise AI Cloud Data Platform. In that role, he led global engineering teams of up to 50 people that took the platform from concept to production, embedding multi-agent frameworks, fine-tuned LLMs, and GraphRAG systems directly into enterprise business processes.
Before Oracle, Ajay spent over a decade at Intel, where he led Intel IT's enterprise wide Big Data and Business Intelligence program and served as the division's external facing voice to press, analysts, and industry partners. He reached over 1.1 million IT decision makers through outlets including CIO.com, InformationWeek, the Wall Street Journal, and NPR. He also set Intel IT's "5/6/10" investment standard, requiring 5 people, 6 months, and a minimum of $10 million in ROI, a project evaluation framework still referenced internally as a model today. Between Intel and Oracle, he led Tableau Software's global Analyst Relations team, influencing 230 plus analysts across 58 research firms and helping secure Tableau's consecutive placement as a Leader in Gartner's Magic Quadrant for Business Intelligence and Analytics.
Ajay holds an MBA and an MS in Applied Science from UC Davis. He pairs deep technical credentials, including CISSP, CISM, CCSP, CSSLP, and recent NVIDIA and Oracle certifications in agentic AI and generative AI, with executive business acumen. He is also a Lecturer in UC Davis's Graduate School of Management, teaching the full AI lifecycle from data to autonomous agents.
That combination of deep enterprise architecture experience and a governance first mindset shaped SecuredAI's founding thesis. Securing customer facing chatbots, internal RAG systems, and agentic AI workflows requires a unified approach spanning offensive red teaming, defensive runtime guardrails, and identity and access governance, rather than a patchwork of point solutions.