Governed AI footprint
94
AI tools, research workflows, and vendor solutions under control
Primary Market
Supervise AI in capital markets with control-room-grade oversight, runtime enforcement, and evidence.
SENTRUM gives capital-markets institutions an Enterprise AI Firewall and audit-defensible governance layer across research, surveillance, trading support, operations, compliance, and vendor AI. It helps front-office control functions, Risk, Compliance, Audit, and Technology teams govern AI in high-velocity environments without sacrificing evidence or supervisory discipline.
Enterprise AI FirewallControl-room-grade oversightSurveillance and research controlEvidence-led supervision
Runtime control coverage
90%
Mapped to policy, owner, evidence, and escalation
Escalated events
21
High-risk interactions reviewed or blocked
Inspection readiness
22
Evidence packs ready for audit and supervisory challenge
Sector focusCapital Markets
Operating modelFirewall + supervision
Review postureCompliance, audit, regulator
DeploymentPrivate / hybrid / on-prem
Operating fit
Built for fast-moving capital-markets environments
- Research and trading support controls
- Surveillance and compliance workflows
- Named ownership and escalation
- Evidence-backed supervisory reporting
Sector reality
High-velocity operations
Control posture
Supervision-heavy oversight
Deployment fit
Enterprise architecture ready
Scrutiny readiness
Control-room-grade defensibility
Why this industry is different
Control architecture for front office, surveillance, operations, and technology
Capital-markets AI usage creates outsized risk when research, surveillance, client workflows, or trading support move faster than governance. Runtime control and attributable evidence are essential.
Fast-moving AI adoption
Front-office and support teams can adopt AI faster than control functions can evidence and govern it.
Sensitive workflow exposure
Research, surveillance, and client-facing workflows require attributable oversight, escalation, and controlled AI usage.
Policy without runtime control
Guardrails must operate in runtime environments where speed is high and manual discipline alone is not sufficient.
Third-party and embedded AI risk
External AI tools, models, and market-facing vendors require due diligence, onboarding controls, and periodic review.
Priority AI use cases
Structured workflows where governance must be operational, not aspirational.
SENTRUM supports capital-markets workflows where supervision must be embedded into execution, not reconstructed afterward.
01 · Research copilots
Research copilots
Control AI-assisted drafting, summarization, and knowledge workflows with attributable usage and policy enforcement.
Capital Markets workflow
Research copilots Illustrative sector workflow panel representing governed runtime control, evidence capture, and supervisory readiness.02 · Surveillance support
Surveillance support
Govern AI-assisted surveillance, operations, and client support workflows so oversight remains real-time and evidence-backed.
Capital Markets workflow
Surveillance support Illustrative sector workflow panel representing governed runtime control, evidence capture, and supervisory readiness.03 · Trading and decision support
Trading and decision support
Keep AI-assisted desk and decision-support usage attributable, reviewable, and tied to approved control paths.
Capital Markets workflow
Trading and decision support Illustrative sector workflow panel representing governed runtime control, evidence capture, and supervisory readiness.04 · Investigative and exception workflows
Investigative and exception workflows
Apply evidence-backed oversight to high-velocity investigative, surveillance, and exception-management workflows.
Capital Markets workflow
Investigative and exception workflows Illustrative sector workflow panel representing governed runtime control, evidence capture, and supervisory readiness.05 · Vendor AI onboarding
Vendor AI onboarding
Run due diligence, risk scoring, and governed approval before vendor AI is deployed into capital-markets environments.
Capital Markets workflow
Vendor AI onboarding Illustrative sector workflow panel representing governed runtime control, evidence capture, and supervisory readiness.Risk and control model
Map sector risk to required control and expected evidence.
Risk themes
Required controls
Evidence expectations
Desk-side usage
Usage telemetry, role controls, and exception management
Attribution history, policy state, and alert evidence
Surveillance augmentation
Review workflow, threshold controls, and escalation governance
Case evidence, reviewer actions, and remediation records
External tooling
Due diligence, monitoring, and re-approval logic
Vendor records, decisions, and review timeline
How SENTRUM fits
Modules selected for this industry control model.
These modules are the highest-priority control capabilities for Capital Markets organizations adopting AI under scrutiny.
Shadow AI Detection
Detect unmanaged tools and unapproved AI usage across desks and support teams.
Enterprise AI Firewall & Policy Enforcement
Apply role-aware controls and workflow approvals.
Continuous Monitoring
Monitor AI activity, control drift, and exception queues continuously.
Audit Evidence Ledger
Capture traceable evidence for oversight, investigations, and review.
Risk Scoring & Obligations
Turn AI issues into governed risks and supervisory obligations.
Compliance Reports
Produce reviewable reporting for control, compliance, and leadership audiences.
Operating stakeholders
Multi-buyer relevance for enterprise sales, governance, and implementation.
Compliance / Surveillance
See AI usage across sensitive workflows, control exceptions, and escalations in one supervisory view.
Risk
See policy adherence, obligations mapping, and defensible reporting across research, surveillance, and operational workflows.
Internal Audit
Access exportable evidence lineage, reviewable decisions, and proof of control execution under compliance and audit challenge.
CIO / CTO
Assess deployment governance, integration fit, and operating-model alignment for capital-markets control environments.
Deployment and architecture fit
Oversight architecture for research, surveillance, and desk support
SENTRUM supports capital-markets deployment where speed matters, but governance, escalation, and evidence cannot be compromised.
Architecture notes
- Control overlays for research, surveillance, and knowledge workflows
- Continuous monitoring plus supervised exception handling
- Evidence reconstruction for investigations and control validation
Evidence and reporting
Designed for audit, executive review, and regulator-facing evidence requests.
Capture decisions, review actions, exceptions, and exportable evidence so capital-markets firms can answer audit, compliance, and supervisory questions with proof.
FAQ
Decision-stage questions for deployment, control, and evidence.
Can we deploy it in restricted environments?
Yes. SENTRUM supports on-premises, private cloud, and hybrid deployment models.
Can we govern internal copilots and external vendor tools together?
Yes. SENTRUM produces attributable records, lineage, approvals, and evidence packs suitable for compliance, audit, and supervisory review.
How do we evidence supervisory actions and escalations?
Yes. SENTRUM supports on-premises, private cloud, and hybrid deployment models for restricted capital-markets environments.
Next step
Take capital-markets AI from informal adoption to controlled execution.
Discuss how SENTRUM can establish Enterprise AI Firewall control, supervisory evidence, and reviewable governance across capital-markets workflows.