DataDiD | Trustworthy AI & Data Security Consultancy, Training & Audit Skip to content
Data due diligence for the AI era

Trustworthy AI. Defensible Data.

DataDiD is a Trustworthy AI & Data risk authority for organisations deploying high-impact AI. We provide governance, risk, and data security assurance to boards and executives operating in regulated and high-risk environments.

From AI governance and risk assessments to Zero Trust data protection, audits, and executive training, we engineer trust into every AI-driven decision. We are committed to advancing safe, secure, and responsible AI.

Aligned to NIST AI RMF ISO/IEC 23894 ISO/IEC 42001 CSA AICM and Zero Trust best practice.

What you get in 2 to 4 weeks

An executive-ready assessment of AI governance, data exposure, security gaps and regulatory readiness, plus a prioritised remediation roadmap.

Risk heat map Control gaps Evidence pack Roadmap

Designed for regulated and high-risk AI adoption

Board-level clarity for risk, compliance, AI product leadership and security teams. Calm, practical, evidence-based.

Risk & Compliance CISO AI Product Data & Governance

Trust signals

Evidence-first assessments aligned to leading frameworks and built for executive decision-making.

Aligned to NIST AI RMF ISO/IEC 23894 ISO/IEC 42001 CSA AICM and Zero Trust.

Start with a free diagnostic

Use a tool now, then we can review your outputs and turn them into an evidence-backed roadmap.

AI changes everything. Trust becomes everything.

What we mean by Trustworthy AI: AI systems that are lawful, ethical and robust, with clear governance, transparency, human oversight, and strong protection for the data they depend on. Trustworthy AI is not just about models. It is about how AI is designed, deployed, operated and assured across its full lifecycle.

AI is moving faster than governance, regulation and security. Many organisations deploy powerful systems on top of data they do not fully understand, control or protect. In the AI era, trust is not a feature. It is a discipline.

Regulatory exposure

Readiness for emerging AI obligations needs evidence, governance and controls, not slides.

Data leakage through AI

RAG, MCP, agents and copilots widen the attack surface. Data controls must follow the AI lifecycle.

Unexplainable decisions

Risk, bias, transparency and accountability require governance baked into delivery, not bolted on later.

Data is the foundation and the fault line of AI.

AI systems are only as safe, fair and reliable as the data they consume. Yet most organisations struggle with unstructured data, shadow AI, over-exposed access, and AI pipelines that bypass security controls.

Services

Advisory, audit and training, designed to help you move from AI ambition to AI assurance. Pick a starting point, then scale into deeper support.

Trustworthy AI advisory

Governance models, risk assessments, lifecycle controls and assurance reporting.

AI & data security architecture

Secure RAG, MCP, agents, APIs and MLOps with Zero Trust data protection and strong identity.

AI readiness & trust audits

Independent assessments aligned to leading frameworks and emerging regulatory expectations.

Training & executive briefings

Board-level risk briefings and practitioner training in governance, assurance and security.

vAI Safety Officer

Ongoing governance and risk leadership for organisations scaling AI responsibly.

Programmes and retained support

From AI Trust Starter engagements to deeper governance build and secure AI architecture programmes.

Audit

Independent, evidence-based assessments of AI governance, data exposure and security controls, aligned to leading standards.

AI Trust Readiness Audit

Baseline governance maturity, lifecycle controls and evidence readiness.

  • Governance operating model and decision logs
  • Risk and impact assessment approach
  • Policy coverage and control design

Data & Security Audit for AI

Assess how data is accessed, processed and protected across AI pipelines.

  • RAG, MCP, agents, APIs and MLOps control review
  • Access control, logging, DLP and encryption posture
  • Prioritised remediation roadmap

Outputs you can take to leadership and auditors

Risk heat map, evidence pack, control gaps and a prioritised roadmap.

Training

Executive briefings and practitioner training in Trustworthy AI governance, assurance and Zero Trust data security.

Board and leadership briefings

Plain-English risk, accountability and regulatory readiness for decision-makers.

Governance and assurance workshops

Operating model, controls, evidence and reporting aligned to key frameworks.

Secure AI engineering sessions

Practical guidance for RAG, MCP, agents, APIs, MLOps, access control and monitoring.

Free tools

Start with a quick diagnostic. Get immediate clarity on governance, lifecycle controls and unstructured data risk.

AI Governance & Lifecycle Explorer (AIGLE)

Map governance responsibilities and lifecycle controls across your AI use cases.

  • Identify missing controls across the AI lifecycle
  • Improve evidence readiness for audits and scrutiny
  • Align to NIST AI RMF and ISO 42001 style governance

Unstructured Data Security Assessment (UDSA)

Assess unstructured data exposure and prioritise Zero Trust controls for AI-era risk.

  • Baseline data exposure and access risk
  • Spot gaps in control coverage and monitoring
  • Generate a prioritised remediation direction

Bring your results. We will turn them into an evidence-backed roadmap.

We validate findings, map control gaps, and produce an executive-ready plan aligned to your regulatory and business context.

Industries

DataDiD supports organisations where risk matters and scrutiny is real.

Financial services and fintech

Model risk, governance, third-party AI, auditability and data controls.

Healthcare and life sciences

High sensitivity data, safety expectations, traceability and assurance.

Legal and professional services

Confidential data exposure controls, AI usage governance and client trust.

Public sector and GovTech

Transparency, accountability, procurement assurance and governance maturity.

SaaS building AI products

Secure-by-design AI features, data minimisation, controls and evidence.

Critical infrastructure

Resilience, access control, operational risk and safety aligned governance.

About

Trustworthy AI governance and defensible data security, delivered with evidence and clarity.

Leadership

Led by Arinze Okosieme (CISSP, CCSP, CCZT, TAISE) with over 27 years’ cybersecurity experience, focused on AI governance, assurance and Zero Trust data security.

How we work

  • Diagnose: trust readiness audit and evidence review
  • Design: governance model, controls and operating maturity roadmap
  • Deliver: implementation support, training, retained governance

Resources

Practical guides, checklists and tools to accelerate AI trust readiness.

AI Trust Readiness checklist

Request a concise checklist for governance gaps, data exposure risk and evidence readiness.

Prefer to start with a tool?

Use a free diagnostic and we can discuss your results afterwards.

Book an Assessment

Tell us what you need. We will respond with a suggested scope and next steps.

Contact form

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Quick scope prompts

Include these in your message for a faster response:

AI use cases Data sensitivity RAG/MCP or agents Third parties Timeline Regulatory drivers

Talk to a Trustworthy AI expert

Have questions about AI governance, data exposure or readiness for audit? Start with a conversation, or jump straight into a Trust Readiness Assessment.

📧 hello@datadid.io
☎️ 0843 886 6007
📍 128 City Road, London, United Kingdom, EC1V 2NX