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    iShield Solutions Series, Platform & AI · AI Platform

    Sovereign AI Gateway & Agent Governance

    Every Model Call Through One Policy Plane, Every Agent Action on the Record

    Sovereign AI Gateway & Agent Governance routes every model call and agent action through one place where residency, redaction, cost and approval policies apply, and keeps the policies, exceptions and evidence that governance bodies need.

    Governed LLM access, agent orchestration, prompt firewall and human-in-the-loop approvals.

    Who leads, who contributes

    • LeadiShield Link
    • ContributoriShield Nexus
    • ContributoriShieldGRC · iShield GRC Ltd.

    Provider brokering, prompt firewall and PII redaction, residency/consent/cost policy, agent orchestration with tool approvals, and the evaluation harness.

    The enterprise challenge

    AI adoption moves faster than AI governance.

    Teams connect models to business data through many paths: chat tools, embedded copilots, scripts and agents. Each path makes its own choices about where prompts go, what data they carry and which tools an agent may call. Governance learns about them from expense reports.

    A single policy plane changes that. When every call passes one gateway, policy is applied consistently, agent actions that touch business systems wait for approval, and the record of what happened exists by default rather than by request.

    Where iShield Nexus contributes

    iShield Nexus contributes the governance record — policies, exceptions and audit logs in Risk & Compliance. iShield Link leads the gateway, prompt firewall, policy engine and agent orchestration; iShieldGRC is listed for AI usage assurance.

    The Nexus angle

    AI usage needs recorded policies, exceptions and audit evidence.

    • Technology services and controls are managed apart from the business process
    • Evidence and ownership are fragmented

    Solution overview. One control plane for every LLM and agent in the enterprise. AI Gateway brokers OpenAI, Anthropic, Azure OpenAI, Mistral, on-prem models with prompt-firewall, PII redaction, policy enforcement, cost caps and full audit. Agent Orchestration runs multi-step agents with tool approvals.

    Buyer challenges

    • Shadow model use

      Prompts carrying business data reach external providers through tools nobody registered, in regions nobody chose.

    • Agents with open hands

      Agents can call business tools directly, so an automated action and an approved action look the same in the logs.

    • Policy without evidence

      AI policies are approved by committees, but there is no record showing they were applied to a given call.

    • Cost without control

      Model spend grows by team and provider with no shared limits or attribution.

    Decision owners

    AI governance board
    Which AI use cases are permitted, under which policy and risk classification.
    Platform owner
    Which providers and models are available, in which regions, at what cost limits.
    Business process owner
    Which agent tool calls need human approval before they run.
    Risk owner
    Whether a policy exception is accepted, and for how long.
    Who this servesAI governance boardRisk owners
    Platform ownership

    Who leads, who contributes, and where each stops

    This is a cross-product solution. Each platform keeps its own responsibility and boundary; none is presented as a module of another.

    • Owns

      Provider brokering, prompt firewall and PII redaction, residency/consent/cost policy, agent orchestration with tool approvals, and the evaluation harness.

      Boundary

      Applies the policies the organization sets; it does not decide which use cases are acceptable.

    • iShield NexusContributor

      Owns

      The governance record: AI usage policies, exceptions with expiry and audit logs held in Risk & Compliance.

      Boundary

      Does not broker model calls or run agents.

    • Owns

      AI usage assurance through Audit Management, as listed in the composition.

      Boundary

      A separate related offering of iShield GRC

    Module responsibilities

    ModulePlatformResponsibility in this solutionHands on

    Published composition, by owning platform

    The modules in the solution's published composition, grouped by the platform that owns them.

    Why this composition

    Provider broker, prompt firewall, agent orchestration and audit must share one policy plane or governance is theatre. Adding iShieldGRC ties every model call back to EU AI Act and NCA AI evidence requirements.

    Cross-platform journey

    From a prompt to an approved, evidenced action

    Follow one agent request through the policy plane. Applications and agents enter on the left, providers sit on the right, and governance sits above the plane, receiving the record of every decision.

    8 stages across 3 platforms
    1. Register the use case · Risk & Compliance iShield Nexus
    2. Request · AI Gateway iShield Link
    3. Screen · Prompt Firewall & PII Redactor iShield Link
    4. Apply policy · Policy Engine iShield Link
    5. Approve the tool call · Agent Orchestration iShield Link
    6. Evaluate · Eval & Red-team Harness iShield Link
    7. Decide exceptions · Risk & Compliance iShield Nexus
    8. Assure · Audit Management (AI usage) iShieldGRC

    Stage 1 of 8 · iShield Nexus Register the use case

    Risk & Compliance

    The AI use case is recorded with its policy, owner and risk classification.

    Decision
    The AI governance board approves the use case.
    Exception path
    An unregistered use case is blocked at the gateway until it is recorded.
    Recorded as
    Policy and use-case record

    Next: Request in AI Gateway (iShield Link) — the work passes to another platform

    Policy plane: calls cross one plane of screening, policy and approval between applications and providers; the governance layer above receives the evidence. Illustrative process, not a product screen.

    This journey shows how responsibilities are intended to divide between the platforms. It describes an operating model, not a pre-built integration between them.

    Governance and accountability

    Decisions, exceptions and who owns them

    Policies and exceptions are owned and reviewed.

    DecisionAccountable ownerEvidence recordedException path
    Permit an AI use caseAI governance boardUse-case record with policy and risk classificationUse cases outside policy are refused or accepted as time-bound exceptions.
    Make a provider or model availablePlatform ownerAvailability, region and cost settingsCalls to unavailable models are refused with the reason.
    Approve an agent's tool callBusiness process ownerApproval record linked to the tool callDeclined calls return to the agent; nothing runs without approval where policy requires it.
    Accept a policy exceptionRisk ownerException with compensating measure and expiryExpired exceptions return for decision.

    How AI obligations are mapped

    AI policies and their risk classifications are written and approved by the organization's AI governance board and held in Nexus Risk & Compliance. The gateway applies those policies; neither platform ships a pre-built interpretation of an AI regulation.

    • Each policy names its owner, the use cases it covers and the regulation it responds to.
    • Gateway decisions reference the policy version that produced them.

    Regulatory context

    Regulations and frameworks organizations in this domain commonly work with. Listed as context for planning, not as a certification, attestation or pre-built mapping.

    EU AI ActNCA AI Ethics FrameworkISO/IEC 42001 (AI Management)NIST AI RMF 1.0OWASP LLM Top 10
    AI, analytics and automation

    Intelligence in explicit modes, by platform

    Nexus AI capabilities assist the people involved; decisions remain with accountable owners.

    • Assistance drafts, answers or summarizes
    • Recommendation proposes for a person to accept
    • Predictive anticipates or flags
    • Workflow-triggered runs only as configured and approved
    • Evidence mapping

      Recommendation

      Suggests gateway and exception records as evidence for AI governance controls.

      Risk & Compliance — Evidence mapping
    Standards and best practices

    Recognized practice behind the operating model

    Mappings describe how the operating model aligns with recognized practice. They are not attestations or certifications.

    The governance record follows the risk-management process of ISO 31000 mapped on the accepted Risk & Compliance page.

    FrameworkPracticeHow the solution operatesRelationship
    ISO 31000:2018Risk treatment, monitoring and reviewAI use cases and policy exceptions are owned, treated and reviewed with expiry.Mapped on the accepted Risk & Compliance page.Compliance-supporting capability
    Business outcomes

    What changes for the organization

    Outcomes are described qualitatively. Figures are published only once evidenced.

    • AI use you can see

      Every registered use case and every call passes one place, with its policy on the record.

    • Agents that ask first

      Tool calls that touch business systems wait for approval where policy requires it.

    • Policy with proof

      Each gateway decision names the policy version that produced it.

    • Spend under owner control

      Cost limits are set by owners and overruns wait for a decision.

    What sets this solution apart

    • Governance kept apart from execution

      The governance record lives in Nexus Risk & Compliance, separate from the gateway that executes calls.

    Planning and reference

    Delivery and industry context

    Planning information carried over from the solution record.

    30 / 60 / 90-day value plan

    Days 0–30 — Foundation

    Stand up the iShield workspace, integrate sources of truth, ingest baseline data.

    • Tenant provisioned in chosen region (KSA / UAE / EU / US)
    • SSO + RBAC mapped to enterprise identity (Entra ID / Okta)
    • Top 5 integrations connected and reconciled
    • Baseline KPIs measured before any change

    Days 31–60 — Activation

    Turn on automation, AI agents and guardrails for the priority value stream.

    • Workflows live for the top 3 use cases
    • Link AI agents enabled with explicit guardrails and approvals
    • Power-user enablement and admin training complete
    • First measurable KPI improvement vs baseline

    Days 61–90 — Scale

    Industrialize, roll out to additional teams, prove ROI to the steering committee.

    • Solution rolled out to additional business units / geos
    • Executive dashboard with target vs actual outcomes
    • Continuous improvement backlog established
    • Signed ROI memo and renewal / expansion plan

    Personas served

    CTOChief Data OfficerChief AI OfficerHead of IntegrationHead of ArchitectureLead Data Engineer

    Illustrative industry scenarios

    Representative situations by industry. Regulations named here are context, not certifications or commitments.

    Banking

    All LLM calls brokered with PII redaction, cost caps per LoB, eval evidence pack for SAMA AI guidance and EU AI Act high-risk classification.

    Public Sector (KSA)

    NCA AI Ethics-aligned agent orchestration, residency-pinned models in KSA, citizen-data prompt firewall.

    Healthcare

    Clinical-decision-support agents with mandatory human approval, PHI redaction on every prompt, full audit per regulator request.

    Telecom & ISVs

    Per-tenant LLM brokering, cost and rate-limit guardrails, eval/red-team harness on customer-facing copilots.

    Bring Sovereign AI Gateway & Agent Governance to your enterprise

    Get a tailored plan that shows which platform owns each step, with phased delivery and a deployment proposal.

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