I am a results-driven AI leader with over a decade of experience at the intersection of AI innovation, security, and governance. As the Head of Responsible AI at Forcespot, I lead initiatives focused on trust, safety, and accountability in AI, driving secure adoption for enterprises and government.
Driving Innovation in AI Systems
AgenticAI Security at BITS Pilani
I'm Sumit Ranjan — AI researcher, author, and security strategist with a decade of experience at the forefront of AI innovation and safety. My focus lies in building secure, scalable, and ethical AI systems with deep specialization in Agentic AI, LLM security, and AI governance.
Currently, I serve as the Head of Responsible AI at Forcespot, leading cross-functional initiatives to integrate ethics, transparency, and risk mitigation into enterprise AI deployments. Alongside, I'm pursuing a PhD in Agentic AI Security at BITS Pilani, researching trustworthy agent-based systems.
I contribute to the OWASP Agentic Security Initiative, helping define global standards in GenAI safety. My past roles span healthcare, retail, and finance—delivering real-world impact by translating complex models into meaningful business outcomes.
As an author, I've written the bestselling book "Applied Deep Learning and Computer Vision for Self-Driving Cars" and am currently working on "Enterprise Agentic AI" which explores secure deployment of autonomous AI systems in enterprises.
To build AI that's not just powerful, but also safe, ethical, and accountable.
Specialized skills across the AI development lifecycle
Featured works in prestigious journals and conferences
Recognitions for excellence in AI research and innovation
Recognized as an ambassador for AI Universal Council promoting responsible AI practices globally.
Awarded by Institute of Engineering & Technology, United Kingdom for exceptional contributions to AI research.
Global Generative AI Advance Prompt Engineering Webinar 2025, Singapore.
Conducted "Developing AI Agent" workshop at the prestigious University of Birmingham Dubai Campus, February 2025.
XPath identification using computer vision & localization
Application Number: 202231060501
Journal Date: 26/04/2024
For driving multiple AI/ML innovations at MResult Corp.
For Oncology Document classification Project at MResult Corp.
Solution Ranked 2nd for innovative marketing analytics solution.
Insights on AI, cybersecurity and responsible innovation
I was honored to be invited by the SharafDG AI Group to speak on their popular podcast about the critical intersection of cybersecurity, human cognition, and responsible AI practices.
In this engaging discussion, we explore the challenges and opportunities in developing secure AI systems that align with human values and ethical principles. We dive deep into strategies for building AI that not only advances technology but also protects users and maintains trust.
Key topics include balancing innovation with security, implementing ethical AI frameworks, and preparing organizations for the next generation of AI governance.
Additional accomplishments and contributions