Your Organization is Already Using AI.

Is It Secure and Governed?

Employees are using AI tools today — sanctioned or not. Sensitive data is moving. Governance is absent. TWE helps organizations at every stage of AI adoption build the security and governance foundation to move forward with confidence.

What we find in every engagement

  • Shadow AI in active use — Employees using ChatGPT, Copilot, and AI SaaS tools with zero visibility or controls in place.
  • Sensitive data exposed to LLMs — Confidential information entering public models with no DLP policies covering AI traffic.
  • No AI governance program — No acceptable use policy, no AI risk register, no designated AI risk owner or board-level accountability.
  • Ethics and compliance gaps — No AI ethics charter, no bias testing, no regulatory mapping to EU AI Act or NIST AI RMF.
  • AI inference unprotected — LLM interfaces exposed to prompt injection and output manipulation with no guardrails or logging.
  • Compound AI risk unchecked — RAG pipelines and AI agents deployed without retrieval authorization, supply chain vetting, or model integrity controls.

AI Maturity Model

Where do you sit on the AI Adoption Curve?

TWE scopes every engagement to your actual AI maturity level — not a one-size-fits-all assessment. Before any scope is set, our Solutions Architect conducts a structured qualification interview to assign your organization to the correct tier.

Level 1: Early AI Adoption

Qualification Signals

  • No formal AI governance policy, risk register, or AI risk owner
  • AI limited to one or two SaaS tools (Copilot, ChatGPT Enterprise)
  • No internally developed or fine-tuned models in production

Framework Scope

  • AICM — Quick-Scan Governance, data security, and identity control domains assessed against 243 control objectives at discovery depth
  • DAGF — Pillar I Only Governance model identification and policy gap assessment
  • DASF — Discovery Tier Deployment model classification and top-risk inventory

Level 2: Active AI Adoption

Qualification Signals

  • AI policy exists but governance program is informal or undocumented
  • Multiple AI tools or platforms across two or more business units
  • At least one internally developed or fine-tuned model in production

Framework Scope

  • AICM — Full Assessment All 18 domains and 243 control objectives with full regulatory gap mapping to NIST AI RMF, ISO 42001, EU AI Act
  • DAGF — All 5 Pillars Governance design, compliance lifecycle, ethics charter, and AI data classification
  • DASF — Full Assessment All 62 risks across 12 components, control implementation roadmap

Level 3: Deep AI Adoption

Qualification Signals

  • Formal AI governance program with executive sponsorship in place
  • Production model registry with versioning and RBAC controls
  • Regulatory obligations specific to AI: EU AI Act high-risk classification

Framework Scope

  • AICM — Full + Audit Package All Level 2 scope plus board-level governance reporting
  • DAGF — Full + Operations AI incident management design and KPI framework
  • DASF — Full + Compound AI All Level 2 scope plus compound AI risk analysis

Our Offerings

Three offerings. One outcome: AI confidence.

Offering 1: AI Visibility & Risk Snapshot

Find out what is happening in your environment right now.

Offering 2: AI Readiness Assessment & Roadmap

Full tri-framework assessment with governance program design and a board-ready prioritized action roadmap.

Offering 3: Secure Foundation & Managed Services

Full implementation and ongoing management of your AI security architecture and governance program.

Get Started

Ready to see what is already happening in your environment?

Start with a no-commitment Risk-Free Assessment. A certified TWE engineer evaluates your AI exposure across all three framework dimensions — governance, compliance, and technical risk — and tells you exactly where you stand before you invest in anything else.