Responsible AI Leadership

Building AI that deserves people's trust.

Rani Kumar Rajah builds practical systems, research, and learning assets that help organizations evaluate, govern, and safely deploy AI — with a focus on youth safety, mental health AI, and agentic systems.

Flagship initiatives Research & standards

Rani speaking at TiECon Silicon Valley — TiECon Silicon Valley

Mission

Trust is not a feature. It has to be designed, evaluated, and continuously earned.

My work sits at the intersection of Responsible AI strategy, AI Trust & Safety, product execution, and open education. I focus on converting emerging AI risks into evidence-based evaluation methods, deployment guidance, and practical decisions for teams building high-impact AI systems.

20+Years leading enterprise technology

4Flagship Responsible AI initiatives

5+Standards & research contributions

600+Professionals trained

Flagship Initiatives

The core product and research work: evaluation, agentic AI, enterprise trust, and mental health safety.

Creator · Youth Safety · Evaluation

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.

Time-to-DetectionTrajectory AccuracyEscalation PrecisionTurn-Level Recall

SafeEval →

Research Lead · Agentic AI

Project FERAL

Open research mapping agentic AI architectures to CSA MAESTRO, OWASP ASI Top 10, and MITRE ATLAS with real-world validation and hardening guidance.

Project FERAL →

Founder · Platform

SecuraAI Trust Platform

Enterprise AI Trust & Safety capabilities spanning AI asset discovery, red teaming, governance workflows, risk evidence, and deployment readiness for LLM, RAG, and agentic AI systems.

SecuraAI →

Creator · Mental Health AI

Mental Health AI Safety Library

Scenario and evaluation library for therapy chatbots, AI companions, coaching assistants, and clinical AI applications operating in high-stakes situations.

Research & Standards

Contributions to practical methods for evaluating generative and agentic AI systems.

OWASP GenAI AI Red Teaming Manual

Core contributor to methodologies for evaluating safety, robustness, trustworthiness, and resilience of generative AI systems.

Cloud Security Alliance

Contributor to agentic AI and red teaming initiatives focused on practical AI risk management and evaluation.

OWASP Agentic Top 10

Contributor to emerging guidance on risks in autonomous and agentic AI systems.

The Architecture of Intelligence

Author of a framework for understanding AI agent systems and their governance implications.

Open Knowledge

Community learning assets that make AI security and Responsible AI easier to understand and apply.

OWASP LLM Top 10 Comic

Interactive visual adaptation for developers, students, security practitioners, and GRC audiences.

Explore → 02

OWASP Agentic Top 10 Comic

Comical adaptation of agentic AI risks including tools, autonomy, identity, memory, and human-agent trust.

Explore → 03

AI Safety for Kids

A 5Cs framework-based initiative introducing children and educators to AI safety.

Explore → 04

AI Security Challenge Arena

A CTF-style environment for realistic hands-on AI security challenges.

Explore →

Community Impact

Teaching, speaking, podcasts, and community events — positioned as evidence of reach, not the center of the story.

600+ professionals trained in AI Security, Safety, Governance, and Agentic AI.

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.