Creator
SafeEval
A Responsible AI evaluation framework for youth mental health AI, focused on realistic multi-turn conversations, clinically informed personas, trajectory-based metrics, and safety validation before deployment.
Responsible AI Leadership
Rani Kumar Rajah is a Responsible AI strategist, founder of SecuraAI, and creator of SafeEval. Her work spans AI Trust & Safety, youth safety, agentic AI, evaluation, governance, education, and enterprise AI strategy.

My work focuses on turning emerging AI risks into practical product decisions. I bring together enterprise leadership, Responsible AI strategy, mental health AI safety, agentic AI research, visual education, and hands-on training to help organizations deploy AI systems that are capable, useful, and demonstrably safer for the people who depend on them.
A body of work across AI evaluation, youth safety, agentic AI, standards, and education.
Creator
A Responsible AI evaluation framework for youth mental health AI, focused on realistic multi-turn conversations, clinically informed personas, trajectory-based metrics, and safety validation before deployment.
Research Lead
Open research mapping agentic AI architectures to CSA MAESTRO, OWASP ASI Top 10, and MITRE ATLAS with real-world validation and hardening guidance.
Creator
Realistic safety scenarios for therapy chatbots, AI companions, coaching assistants, and clinical AI applications.
Creator
Visual learning experiences that make OWASP LLM Top 10 and OWASP Agentic Top 10 concepts accessible without sacrificing technical depth.
Research, tools, and learning assets that help teams understand, evaluate, and act.
Interactive visual adaptation for developers, students, security practitioners, and GRC audiences.
Explore → 02Comical adaptation of agentic AI risks including tools, autonomy, identity, memory, and trust.
Explore → 03A 5Cs framework-based initiative introducing children and educators to AI safety.
Explore → 04A CTF-style environment for realistic hands-on AI security challenges.
Explore →Practical methods for assessing generative and agentic AI systems.
Core contributor to methodologies for evaluating safety, robustness, trustworthiness, and resilience.
Contributor to agentic AI and red teaming initiatives.
Contributor to emerging guidance on autonomous and agentic AI risks.
Author of a framework for understanding AI agent systems and governance implications.
Training across professional communities, conferences, universities, and AI ecosystem programs.
Workshops and talks across ISACA, UCSC Silicon Valley Extension, ISC2, NJSECON, Society for Digital Mental Health, BioNJ, NJ AI Hub, Plug and Play, universities, podcasts, and industry events.








Recognition across technology leadership, entrepreneurship, Responsible AI, and education.

2026
Exceptional Technology Leader recognition.
Google for StartupsSecuraAI participant
NVIDIA InceptionSecuraAI Participant
MassChallenge UK 2026Finalist from 1,961 applicants
BioNJBioPartnering Conference Finalist
NJ AI HubCohort finalist
ISACA New JerseySubject Matter Contribution Award
EY Women Bond ClubFSO Rising Star Finalist





Making complex Responsible AI and agentic AI concepts accessible through podcasts, visual education, and public resources.

Podcast and video series focused on AI safety, evaluation, and mental health AI.

Podcast conversation on AI agents, digital trust, privacy, and governance.
Open security research initiative for agentic AI systems.
The questions behind my work.
How do we know an AI companion is safe before a vulnerable person depends on it?
What changes when AI systems become autonomous agents?
How should product teams balance AI launch velocity with user safety?
Can AI safety be measured rather than merely claimed?
Connect
For Responsible AI strategy, AI Trust & Safety, speaking, research collaboration, or advisory work.
kanmani.rajah@gmail.com LinkedIn Profile