Platform Vision

The platform behind AI and cybersecurity risk discovery.

sEyeber Hub is being designed to connect to the systems your firm already uses, normalize what it finds through an AI discovery layer, and map those findings into a practical NIST CSF 2.0 workflow.

Join the first 100 firms and lock in 25% off before the first launch wave closes.
Connector Ecosystem

Connectors designed for read-only discovery.

sEyeber Hub is built around a discovery model that reads from tools firms already use instead of creating new operational burden.

Microsoft Graph

User accounts, MFA posture, devices, policies, app grants, audit logs, and security signals.

Google Workspace

User directory, 2FA posture, mobile devices, audit activity, and Drive-sharing controls.

Network Vendors

Firewalls, VPN sessions, device discovery, and network-level operational visibility.

RMM + Endpoint

Installed applications, patching, managed devices, and endpoint operational inventory.

Discovery Engine

The AI layer turns noisy systems into defensible findings.

NormalizeBring data from connectors into a common model across identities, devices, apps, and policies.
DeduplicateReduce duplicates where the same device, app, or service appears in multiple systems.
Map to CSFTranslate findings into the structure of NIST CSF 2.0 subcategories and functions.
Score ConfidenceFlag which findings are high-confidence and which need human confirmation.
Framework Alignment

Mapped to NIST CSF 2.0.

The platform is designed to support all six NIST CSF functions so firms can move from raw technical discovery into a more organized, defensible risk-management process.

Govern

Expose AI and cyber oversight issues, third-party app risks, roles, and control visibility.

Identify

Discover assets, software, accounts, data-related indicators, and environmental context.

Protect

Surface MFA posture, policy gaps, access control weaknesses, and platform-security indicators.

Detect

Assess monitoring signals, alerts, sign-in logs, and the reality of active detection controls.

Respond

Highlight evidence around incident handling, operational follow-up, and investigative readiness.

Recover

Support visibility into resilience, restoration readiness, and recovery-related operating signals.

Why It's Different

Automated discovery is a different tier of visibility.

sEyeber Hub is designed to go beyond self-reported answers and create a stronger starting point for current-state risk assessment.

Manual Assessment
Relies on memory and fragmented internal follow-up Often starts from a blank or partially complete questionnaire Can take weeks to assemble current-state answers Leaves less confidence in what was missed
sEyeber Hub Discovery
Uses read-only connectors to surface what is actually present Pre-populates risk understanding before full manual review Accelerates current-state visibility for financial services teams Creates a clearer path into mitigation and governance planning
Platform Architecture

A secure architecture built for fast discovery and defensible visibility.

sEyeber Hub is designed to connect quickly, protect customer boundaries, translate raw technical signals into practical findings, and move firms toward action without heavy deployment.

Read-only by default Tenant-isolated Encrypted Auditable Retention-ready
1
Connect Securely

Simple connector-based discovery for the systems firms already use.

Microsoft 365 Google Workspace Identity Endpoint and RMM Firewall and VPN AI and SaaS Signals
No heavy deployment burden. API-first where it matters.
2
Secure Platform Core

Built for regulated environments where boundaries, controls, and traceability matter.

Credential VaultProtected secrets and token handling
Scoped ProcessingOrganization-level separation and least-privilege design
Normalization LayerClean, structured processing of raw connector signals
Event LoggingOperational traceability and defensible workflows
Storage and retrieval design supports regulated books-and-records expectations, including SEC Rule 17a-4 and Advisers Act Rule 204-2.
3
Intelligence and Translation

Turn raw technical signals into usable clarity for operators, compliance teams, and leadership.

Discovery Engine Signal Correlation Confidence Scoring Risk Prioritization NIST CSF 2.0 Mapping Business-ready Findings
Technical evidence translated into practical risk language.
4
Drive Action Faster

Create a shorter path from discovery into governance, mitigation planning, and follow-up.

Current-State Visibility Mitigation Planning Governance Support Board and Compliance Conversations Operational Follow-up
Built to reduce blank-questionnaire work and speed time to defensible visibility.

From secure connection to actionable clarity, sEyeber Hub is designed to shorten the path from uncertainty to regulated, defensible risk visibility.

Roadmap

Coming soon in launch waves.

Phase 1

Microsoft Graph-led discovery, early connector insights, and first-wave NIST profile pre-population.

Phase 2

Google Workspace, network connectors, expanded finding coverage, and stronger current-state visibility.

Phase 3

Broader connector coverage, deeper AI risk visibility, and expanded API access for customers.

Reserve Your Place

Secure founding access before the market catches up.

Firms that join the first cohort will be first to experience connector-driven AI and cybersecurity risk discovery and will lock in the founding-user discount.

25% off for the first 100 firms
Priority launch communication and onboarding Early visibility into platform milestones and connectors A chance to gain an operational head start before broad release

We'll use this to help prioritize outreach and shape the earliest launch cohort.

Platform FAQ

Common questions about the Platform

A few high-frequency questions from this page’s topic. For the full list, see the FAQ.

What is the Microsoft-First v1.0 MVP?

The Microsoft-First v1.0 MVP is sEyeber Hub's initial connector scope: a single read-only Entra ID application that powers collectors for Entra (identity, conditional access, MFA), Azure Resource Inventory, Intune (device management), Microsoft Defender (endpoint, identity, email), and optionally Defender for Cloud Apps.

What does the discovery pipeline actually produce?

Each scan flows through Collect → Normalize → derive Observations → generate Findings → produce Suggested Answers mapped to NIST CSF 2.0 subcategories. The output is an evidence-backed draft of your CSF profile that a human reviewer accepts, edits, or rejects — not an autopilot.

Can sEyeber Hub scan without changing anything in our environment?

Yes. The connector requests read-only Microsoft Graph and Azure scopes. sEyeber Hub does not modify configuration, deploy policies, push remediations, or write back any state into your tenant.