Global Enterprise AI Governance, Risk, Control & Supervisory Platform

Govern enterprise AI at global scale before innovation becomes unmanaged risk.

SENTRUM is Nexentum’s flagship enterprise AI governance platform for global organizations that need AI usage visibility, Shadow AI detection, policy enforcement, AI Prompt Guard, continuous monitoring, audit-defensible evidence, vendor AI governance, obligations control, and regulator-ready reporting in one supervisory operating model.

Book an Executive Demo Explore the Platform

AI usage visibility Shadow AI detection AI Prompt Guard Audit evidence ledger Evidence packs Board & regulator reporting

Enterprise AI inventory

1,248

AI tools, copilots, models, workflows, agents, vendors

Governed in control

91%

Mapped to owner, risk tier, policy, obligations, evidence

High-priority exceptions

Items awaiting supervisory review and remediation

Evidence packs ready

246

Inspection-ready packs for audit, board, and regulators

AI Prompt GuardInput + output control

Maker-checker governanceEmbedded

Obligations monitoringContinuous

Evidence chain postureAudit-defensible

Deployment flexibility

Built for global enterprises and high-scrutiny regulated environments

On-premises, private cloud, public cloud, or hybrid
Role-based access and maker-checker operating model
Evidence-first decisions, packs, and reporting
Designed for board, audit, compliance, and regulatory scrutiny

Designed for

Global enterprises

Operating model

Evidence-first governance

Deployment

On-prem to hybrid cloud

Scrutiny readiness

Board, audit, regulator

Product story

Real supervisory workflows, not generic dashboard slides.

These product views show how SENTRUM moves from AI visibility to control, evidence, reporting, obligations, and third-party governance with the level of confidence enterprise buyers, boards, auditors, and regulated institutions expect.

01 · Enterprise AI Usage Visibility

Enterprise AI Usage Visibility

See governed telemetry, attributed usage, evidence linkage, and export-defensible records across the enterprise.

This screen demonstrates how SENTRUM converts raw AI activity into accountable enterprise telemetry. Leadership can see who is using AI, whether evidence is linked, whether decisions are attributable, and whether export posture is strong enough for audit and regulator challenge.

02 · Shadow AI Detection

Shadow AI Detection

Detect unmanaged AI tools, triage findings, and drive evidence-backed containment instead of ad hoc response.

SENTRUM turns Shadow AI signals into governed action. Clients can show exactly which tools were detected, what evidence supports the finding, what remediation is pending, and whether containment is backed by workflow lineage rather than manual guesswork.

03 · Audit Evidence Ledger

Audit Evidence Ledger

Prove that Prompt Guard and supervisory decisions are explainable, lineage-backed, and chain-verifiable under scrutiny.

This is the audit spine of the platform. Every Prompt Guard decision, policy basis, review state, duplicate state, and chain proof can be reconstructed. That gives clients confidence that control claims are backed by evidence, not presentation-only dashboards.

04 · Compliance Reports

Compliance Reports

Deliver regulator-ready reporting with Prompt Guard control-quality truth, watermarking, export control, and discrepancy visibility.

SENTRUM transforms operational evidence into executive-, audit-, and regulator-ready reporting. Reports are expected to be reproducible, watermarked, approval-aware, and evidence-linked, so customers can defend reporting outputs under internal audit and external inspection.

05 · Risk & Obligations Management

Risk & Obligations Management

Turn AI events into named risks, obligations, owners, timelines, and boardroom action so governance becomes operational.

Governance is only credible when risk and remediation are explicit. This module shows how SENTRUM converts Prompt Guard and other AI control signals into risk objects, obligation tracking, evidence coverage, and executive action queues with named accountability.

06 · Vendor AI Inventory

Vendor AI Inventory

Bring vendor inventory, evidence readiness, data trust, and high-risk vendor posture into one governed supervisory surface.

Third-party AI governance is not just a procurement list. SENTRUM links vendor exposure, contract lineage, inventory completeness, evidence packs, and due-diligence posture so customers can manage third-party AI with the same rigor as internal controls.

07 · AI Due-Diligence Workflow

AI Due-Diligence Workflow

Control onboarding with maker-checker approvals, evidence completeness, and traceable review workflow before production use.

This workflow gives confidence that AI vendors, tools, and models do not move into production without evidence completeness, named approvals, control linkage, and review traceability. It is designed for organizations where onboarding must withstand audit and regulator challenge.

08 · Vendor Cost & Utilization

Vendor Cost & Utilization

Connect optimization decisions to governance facts, evidence readiness, risk posture, and renewal defensibility.

SENTRUM shows that cost optimization is governed, not guessed. Renewal and cost actions are tied back to evidence readiness, usage telemetry, vendor posture, and audit-defensible decision support so customers do not optimize blind.

The platform

One supervisory control plane for enterprise AI.

Most organizations still cannot answer where AI is used, which vendors are involved, what data is exposed, which controls are active, which exceptions remain open, whether evidence is complete, and whether leadership can prove control effectiveness to internal audit, regulators, and the board. SENTRUM closes that gap.

Unknown AI usage

AI adoption spreads faster than governance, leaving management without a trusted inventory of tools, models, agents, workflows, and accountable owners.

Shadow AI and unmanaged vendors

Business teams adopt AI outside approved channels, creating unmanaged exposure across data protection, legal, security, third-party, and operational risk.

Policy without enforcement

Policies exist, but risky AI activity still moves into use without maker-checker review, prompt controls, evidence lineage, and supervisory approval.

Evidence and reporting gaps

Audit and regulator reviews become manual fire drills because obligations, approvals, control actions, and evidence are fragmented across systems.

Supervisory operating model

Discover → Govern → Enforce → Monitor → Evidence → Report

Discover

Identify AI usage, vendors, models, agents, workflows, and risk signals across business, operations, and technology environments.

Govern

Assign ownership, classify risk, define obligations, approve use cases, register controls, and establish evidence requirements.

Enforce

Apply policy gates, AI Prompt Guard, maker-checker approvals, and usage controls before unmanaged AI becomes institutional risk.

Monitor

Track control posture, exceptions, vendor status, configuration drift, risk signals, and supervisory alerts continuously.

Evidence

Capture decisions, approvals, reviews, obligations, evidence packs, and chain-of-proof records in one auditable governance fabric.

Report

Deliver executive, audit, and regulator-ready reporting with traceable evidence, control completeness, and clearer accountability.

SENTRUM modules

One platform. Ten integrated control modules.

SENTRUM scales across the AI governance lifecycle from discovery and approvals to continuous monitoring, audit evidence, supervisory reporting, and inspection-ready packs.

AI Usage Visibility

Create a living map of AI tools, copilots, models, workflows, agents, business owners, and usage footprint across the enterprise.

Shadow AI Detection

Identify unapproved AI usage, unmanaged vendors, hidden workflows, and policy circumvention before they become systemic exposure.

Policy Enforcement & Control

Translate AI policy into operating controls so high-risk AI cannot move forward without review, evidence, and accountable approval.

Continuous Monitoring

Monitor control posture, supervisory alerts, exceptions, vendor status, data risk signals, and change indicators continuously.

Audit Evidence Ledger

Maintain an audit-defensible record of decisions, approvals, reviews, controls, and lineage for reconstruction and scrutiny.

Vendor AI Inventory

Track AI vendors, services, contracts, control posture, responsible owners, usage footprint, and evidence readiness.

AI Due-Diligence Workflow

Run maker-checker due diligence for new vendors, models, tools, and AI use cases before production approval.

Risk Scoring & Obligations

Map AI systems and events to risk tiers, obligations, remediation, responsible owners, and management action.

Compliance Reports

Produce executive, audit, and regulator-ready reporting across posture, controls, exceptions, evidence, and obligations.

Audit Evidence Packs

Generate inspection-ready evidence bundles with traceable lineage for internal audit, supervisors, and board committees.

Solutions

Built for organizations where AI cannot run outside control.

SENTRUM supports multinational enterprises and regulated institutions that need measurable AI governance, while delivering the control depth expected in banking, insurance, capital markets, healthcare, telecom, public sector, and other high-scrutiny industries.

Enterprise AI governance

Establish an enterprise-wide operating model for AI visibility, ownership, approvals, risk, obligations, and evidence.

Shadow AI control

Bring unmanaged tools, agents, and vendor usage into formal governance before they become systemic control failures.

Vendor AI governance

Unify vendor inventory, due diligence, risk scoring, obligations, and evidence readiness in one control plane.

Audit and regulator readiness

Replace spreadsheet-driven evidence chases with reconstructable, inspection-ready proof and governed reporting.

Board and executive oversight

Provide leadership with a current, defensible view of AI posture, coverage, exceptions, remediation, and evidence completeness.

Global deployment at scale

Support region-aware governance, multiple jurisdictions, and enterprise control models without fragmenting supervision.

Industries

Focused on regulated AI environments with credible expansion potential.

SENTRUM is built with a financial-services-first wedge and a platform architecture that extends into other high-scrutiny sectors where AI decisions must be governed, monitored, evidenced, and defended.

Primary market

Financial-services-first wedge

Financial Services Enterprise AI governance across regulated financial groups Banking Shadow AI, model controls, audit evidence, supervisory posture Insurance Underwriting, claims, pricing, third-party AI governance Capital Markets Trading, surveillance, research, control-room-grade oversight

Expansion markets

Adjacent sectors with rising AI scrutiny

Healthcare & Life Sciences Clinical AI governance, patient-data controls, vendor oversight Telecommunications AI operations, customer analytics, network-control accountability Energy & Utilities Operational AI, grid-risk controls, evidence-backed remediation Government & Public Sector Policy enforcement, procurement governance, accountable public-sector AI

Architecture

A supervisory architecture, not a disconnected point-tool stack.

SENTRUM sits above enterprise AI tools, vendors, workflows, telemetry, identities, and controls as a supervisory layer. It brings discovery, policy, risk, obligations, monitoring, evidence, and reporting into one operating architecture.

Enterprise AI tools, copilots, models, agents, vendors, workflows

Discovery, telemetry, integrations, registries, security signals, data controls

SENTRUM supervisory layer

Policy engine Risk engine Monitoring engine

AI Prompt Guard Evidence ledger Obligations engine

Vendor due diligence Compliance reports Evidence packs

Risk, compliance, security, CIO, internal audit, board committees, supervisors

Deployment model

On-premises
Private cloud
Public cloud
Hybrid enterprise architecture

Control model

Role-based access control
Maker-checker workflow
Evidence-first approvals and exceptions
Audit reconstruction and inspection readiness

Regulatory alignment

Built for audit, internal control, and regulatory scrutiny across jurisdictions.

Move from “we use AI” to “we can prove how AI is governed, monitored, controlled, evidenced, and reported.”

Global AI governance alignment

Support risk classification, ownership, obligations, evidence lineage, approvals, and supervisory accountability for governed AI use.

EU AI Act, NIST AI RMF, and ISO/IEC 42001

Strengthen govern, map, measure, and manage practices through operational workflows instead of policy statements alone.

Privacy and data protection

Bring sensitive data handling, AI Prompt Guard decisions, vendor usage, and control exceptions into a governance record that can be reviewed.

Banking and financial sector scrutiny

Support environments that require stronger oversight, including internal risk governance, supervisory inspection readiness, and evidence-first control operations.

India readiness

Support AI governance operating models that can align with RBI expectations, SEBI oversight, DPDP obligations, internal policy control, and audit defensibility.

Board, audit, and supervisory reporting

Create credible reporting for risk committees, audit committees, senior management, and external reviewers without manual reconstruction.

Embedded AI Prompt Guard

Prompt risk control across upstream and downstream AI interaction paths.

AI Prompt Guard helps reduce sensitive data exposure, unsafe prompt behavior, policy breaches, and unmanaged model interaction while preserving evidence of control decisions, approvals, and lineage across the AI lifecycle.

Upstream input screening

Reduce sensitive data exposure, policy violations, and unsafe prompt patterns before AI interaction begins.

Downstream output control

Evaluate generated responses for leakage, control breach, policy misalignment, and review requirements before release.

Evidence capture and lineage

Record Prompt Guard decisions, rules, reviews, exceptions, and chain-linked evidence in the broader governance fabric.

Global enterprise control fit

Support organizations that need controlled deployment, monitored AI behavior, and regulator-reviewable evidence at scale.

Why SENTRUM

Why enterprises choose SENTRUM over fragmented point tools.

Monitoring alone is not governance. Inventory alone is not control. Policy alone is not enforcement. Evidence alone is not supervisory operations. SENTRUM combines these layers into one accountable operating model built for enterprise execution and high-scrutiny review.

Visibility without governance Incomplete

Monitoring without approvals Weak control

Inventory without evidence Not audit-ready

Policy without enforcement Paper compliance

SENTRUM supervisory model Defensible governance

Company

Nexentum builds control-grade platforms for enterprises operating under scrutiny.

Nexentum focuses on enterprise-grade governance architecture for organizations operating under audit, risk, compliance, security, and regulatory scrutiny. The company is built around practical control design, operational accountability, evidence discipline, and implementation-ready governance models.

SENTRUM is Nexentum’s flagship enterprise AI governance, control, and audit-defensible platform, helping organizations move from fragmented oversight to a scalable supervisory model with clearer accountability, stronger controls, and inspection-ready evidence.

Book a demo

See how SENTRUM operationalizes enterprise AI governance at global scale.

Walk through AI usage visibility, Shadow AI oversight, policy controls, AI Prompt Guard, vendor governance, evidence lineage, obligations, and regulator-ready reporting in one enterprise supervisory workflow.

Request an Executive Demo Talk to Architecture Team

Product & enterprise sales

For enterprise demos, pilots, executive discussions, and commercial engagement.

contact@nexentum.com

Deployment & architecture

Discuss on-prem, private cloud, public cloud, hybrid deployment, integration patterns, AI governance architecture, and regulated production design.

Built for global enterprises and regulated institutions.