Run AI across trust boundaries. Keep control at every step.

SCEF · Secure Confidential Execution Fabric SCEF enables organizations to execute AI workflows across independently owned data, models and compute—with runtime policy enforcement, confidentiality protections and verifiable execution evidence. Built for today’s enterprise AI, with quantum-ready integration paths.

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Example governed workflow

Four owners. One governed AI workflow.

Sensitive Data OwnerPrivate datasetsData remains under owner control

AI Model OwnerProprietary AI modelModel access governed

Quantum Algorithm OwnerQuantum circuit / IPAlgorithm use governed

Compute ProviderCloud · GPU · HPC · QPUApproved execution resources

SCEF Authorize · Protect · Execute · Monitor · Verify Governed coordination across independent trust boundaries

Authorized execution Protected assets Verifiable evidence

An illustrative hybrid AI–quantum workflow. Asset owners retain control; execution follows approved policies without requiring centralized ownership of sensitive assets.

AI Governance

Enforce authorization, execution policies and approved workflow boundaries.

Real-Time Monitoring

Observe workflow progress, policy decisions and execution events.

Confidential Computing

Protect sensitive data, models and intellectual property during computation.

Verifiable Auditability

Generate execution evidence and provenance for review and accountability.

Quantum-Ready Integration

Connect AI workflows to quantum platforms and hybrid AI–quantum applications through governed execution.

SCEF brings together execution-time AI governance, confidential computing, real-time workflow monitoring, and verifiable audit evidence.

Why SCEF matters

Governable. Confidential. Verifiable. Across independent owners.

Enterprise security tools protect individual systems. SCEF addresses the workflow between them: who may use which assets, what can execute, how controls are enforced, and what evidence remains.

Collaborate without surrendering control

Connect data owners, AI model providers and compute partners in one approved workflow while preserving each party’s ownership, permissions and trust boundaries.

Govern AI during execution

Bind execution intent and check authorization and policies at critical runtime boundaries—not just when a workflow is first approved. Deny actions that violate configured controls.

Protect sensitive assets during computation

Keep data under owner control where required, and apply supported local isolation or confidential computing environments to protect sensitive data, proprietary models and IP.

Make AI execution verifiable

Capture authorization decisions, policy checks, execution events and permitted outputs as reviewable evidence for accountability, verification and audit.

Connect AI and compute environments

Coordinate governed workflows through supported local, cloud and GPU/HPC adapters, with quantum integrations as an expanding path—not a prerequisite for customer value today.

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BUILT FOR COMPLEX TRUST ENVIRONMENTS

Healthcare
Life sciences
Banking & financial services
Government & public sector
Technology & compute

The challenge

AI workflows increasingly span organizations. Trust and control don’t.

Sensitive data, proprietary AI models, quantum algorithms, and compute infrastructure are often owned by different parties. Existing security controls may protect individual assets or environments, but coordinating authorized, confidential, and verifiable execution across those boundaries remains difficult.

Sensitive data can’t simply move

Privacy, residency and institutional policies restrict centralization.

Models and IP need protection

Each collaborator needs control over valuable models, algorithms and compute assets.

Shared intent needs enforcement

Infrastructure access alone does not govern the complete multi-party workflow.

The platform

One trust fabric for governed AI execution.

One SCEF platform. Multiple organizations. Governed execution across trust boundaries.

SCEF brings execution-intent integrity, execution-time governance and infrastructure-independent trust to AI, GPU/HPC and quantum workflows. It complements existing security, governance and compute platforms rather than replacing them.

Execution-intent integrity

Define approved stages, assets, owners and constraints.

Confidential computing

Integrate protected runtimes and appropriate isolation controls.

Vendor-neutral orchestration

Coordinate approved tasks across local, cloud and specialized compute.

Audit & provenance

Produce evidence about execution decisions and outcomes.

Policy-aware outputs

Control release of results and preserve accountability.

AI agents & quantum-ready execution

Bound agent actions and extend governed execution to hybrid AI–quantum workloads as applications mature.

How it works

One governed workflow. Four essential stages.

Authorize

Bind approved assets, owners, policies and execution intent.

Protect

Apply appropriate confidentiality and isolation controls.

Execute

Run through approved local, cloud, GPU or supported quantum adapters.

Verify

Inspect provenance, execution evidence and audit records.

Why QAILinks

Your infrastructure is secure. Is your AI execution governed?

Cloud identity, network security and confidential computing protect important parts of your stack. But a workflow involving multiple asset owners also needs agreement on what is allowed to run, how assets may be used and what evidence is produced. SCEF is designed to coordinate those controls across organizational and compute boundaries—complementing, not replacing, existing security platforms.

What may run

Bind approved execution intent, asset ownership and workflow constraints before a task starts.

How it runs

Apply execution-time policies, confidentiality controls and monitoring at critical workflow boundaries.

Where it runs

Coordinate governed tasks across institutional environments, cloud, GPU/HPC and supported quantum integrations.

Execution evidence

From approved intent to verifiable execution.

See how a governed AI workflow can progress from asset-owner authorization through controlled execution to reviewable evidence. The sequence below describes the SCEF approach; supported protections depend on the configured runtime and integration.

01 · Approve

Bind execution intent

Identify participating owners, approved assets, permitted stages and policy constraints.

02 · Enforce

Check each boundary

Validate authorization and policy before protected tasks or transfers proceed; deny unauthorized actions.

03 · Observe

Run approved work

Execute through supported agents and compute adapters, recording workflow events and decisions.

04 · Review

Inspect the evidence

Review authorization decisions, policy checks, provenance and permitted outputs.

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Solutions

Start with a sensitive AI workflow. Expand across trust boundaries.

Initial engagements focus on governed enterprise AI execution and secure collaboration with external data, model and compute partners. Healthcare, banking, government and research applications can build on the same reusable trust infrastructure.

Featured use case · Banking & financial services

Use third-party AI innovation without surrendering control of sensitive assets.

A bank wants to run fraud or risk analysis using an external AI provider. The bank must protect its transaction data; the vendor must protect its proprietary models and algorithms.

SCEF governs approved execution across these trust boundaries. Quantum algorithm integration is an optional future path, not a claim of demonstrated quantum advantage.

BankSensitive transaction dataData stays under bank control

AI / Quantum VendorProprietary model & algorithmIP use stays governed

Independent trust boundaries

SCEF Authorize · Protect · Execute · Monitor · Verify

Approved fraud / risk analysisAuthorized results + verifiable execution evidence

Healthcare AI

Coordinate multi-institution analysis and model development while honoring local data controls.

Life sciences research

Collaborate across research institutions and technology partners while protecting IP.

Banking & financial services

Govern sensitive AI, fraud analytics and multi-party workflows across institutions, partners and cloud environments—without relying on one provider to control the full execution lifecycle.

Government & public sector

Enable governed AI collaboration across agencies and trusted partners while supporting data sovereignty, institutional control, confidential execution and verifiable accountability.

Technology & compute providers

Integrate cloud, GPU/HPC, AI and supported quantum computing resources into governed enterprise workflows across trust boundaries.

Supporting expertise

Specialized engineering beyond the platform.

We help organizations identify quantum-AI opportunities, develop hybrid applications, and prepare for post-quantum cryptography.

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Research & Innovation

Building toward the quantum era

Research into secure and trustworthy quantum-AI, healthcare and life sciences applications, hybrid computing and scalable quantum systems supports our long-term technology direction.

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Let’s Collaborate

See SCEF govern your workflow.

Tell us your workflow, who owns the data and models, and which controls you need to verify. We can discuss feasibility, integration boundaries and a scoped technical pilot.

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