Leadership & Advisors

Built by people who know governance must work in practice.

Trustethica brings together deep experience across AI governance, technology law, enterprise transformation, international standards, ethics and risk.

Black-and-white portrait of Trustethica founder Vivegavalen Vadi Valu.

Vivegavalen Vadi Valu

Founder · Singapore / Asia-Pacific

AI governance practitioner with 12+ years across technology law, privacy, data governance and AI risk management.

AI Governance · Technology Law · Risk Operations · GenAI & Agentic AI

Black-and-white portrait of Trustethica strategic advisor Arvind Shanmuga Nathan.

Arvind Shanmuga
Nathan

Strategic Advisor · Australia

Board chair and strategic advisor connecting emerging technology, commercial strategy and governance.

Black-and-white portrait of Trustethica AI ethics and risk advisor Dr. Sundaraparipurnan Narayanan.

Dr. Sundaraparipurnan Narayanan

AI Ethics & Risk Advisor · India

Ethics, governance and risk leader with two decades building accountable decision-making and practical AI governance.

Black-and-white portrait of Trustethica trustworthy AI advisor Harm Ellens.

Harm Ellens

Trustworthy AI Advisor · Australia

International AI standards leader with 20+ years across the socio-technical, ethical and economic dimensions of AI.

What We Believe

Governance should move at the speed of AI.

01

Purpose before policy

Every deployment begins with a defined business purpose, context and accountable owner.

02

Context over abstraction

AI risk is shaped by where, why and for whom a system operates—not by the model alone.

03

Continuous over periodic

Drift and policy deviation must surface at runtime, not at the next review cycle.

04

Evidence by design

Every governance decision should leave a structured, timestamped and defensible record.

Our Mission

Make enterprise AI governable in the moments that matter.

We give boards, regulators, risk leaders and engineering teams a shared line of sight—from authorised intent to live behaviour to enterprise impact.

01
Capture
Declared purpose, authorised boundaries and accountable owner, recorded at the moment of deployment.
02
Observe
Live behaviour tracked continuously against declared intent, not by review cycle.
03
Translate
Technical signals converted into operational, conduct, regulatory and reputational risk the board can act on.
04
Evidence
Timestamped, defensible records of every governance decision, ready for auditors and regulators.

Why We Exist

The model is not the whole risk. Context is.

Enterprises already monitor infrastructure, model performance and regulatory posture. Yet one critical question remains unanswered in production: is this AI use case still operating within the purpose it was authorised to serve?

Trustethica was founded to close that gap. We make authorised purpose observable at runtime, translate AI behaviour into operational, conduct, regulatory and reputational risk, and create evidence leaders can defend.

AI governance must operate at the layer where business purpose meets runtime behaviour, anchored to the enterprise risk taxonomy boards already use.