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Applications and access

Shadow IT discovery tools for SMBs: Elba, Nudge Security and With Wings

Compare vendor-stated SaaS and AI discovery, supported responses and deployment needs. Includes a practical pilot checklist for lean IT teams.

What to take away

Compare what each tool can establish, what happens after a finding, and who does the work. Elba brings connected-source and browser evidence into a source-aware workflow. Nudge combines email discovery with browser and API capabilities. Wing Security now presents itself as With Wings, focused on AI-agent exposure. These are vendor-stated approaches, not results from a head-to-head product test.

1. Decide what discovery must cover

An application count does not tell you whether a tool found a sign-up, an active account, a permission grant or a browser visit. Start with the evidence your team needs, then compare how each shortlisted product supplies it.

Review these four signals separately. Ask how personal accounts and activity without a sign-up email are handled, and which devices or connections remain outside the deployment.

  • Email: account creation, sign-in and other application activity signals.
  • OAuth and connected sources: accounts, assignments and permissions reported by the source.
  • Browser: observed app use and available account context, including activity outside connected apps.
  • Data: the specific prompts, uploads or sharing situations the configured control can inspect.

2. Compare the method and its prerequisites

The primary vendor pages linked below were reviewed on 23 October 2026. The table summarizes their public descriptions. A capability not described on a reviewed page is not treated as unavailable; ask for its current specification and test it in your pilot.

2. Compare the method and its prerequisites
QuestionElbaNudge SecurityWith Wings (formerly Wing Security)
Discovery evidenceConnected applications, OAuth, email and browser observations, with source provenance.Email metadata from Google Workspace or Microsoft 365, complemented by browser and API signals.AI agents, identities, connections and the reach of inherited permissions.
Browser and AI dataSupported AI signals on Chrome, Edge, Firefox and Safari 26+ on macOS 26+; validate the workflow.Browser-extension monitoring of AI uploads, copy/paste and related activity.The reviewed homepage describes agent authority, not a browser/file-inspection specification.
Public emphasisSaaS and AI visibility, supported data controls and follow-through.AI/SaaS governance, posture, third-party risk and spend.Agent exposure and permission reduction.
What to deployConnect the relevant sources and enroll the browsers needed for browser coverage.Read-only email connection for initial discovery; additional browser/API capabilities need their own deployment.Confirm the connections and permissions required for your agent estate with the vendor.

References: Elba — Third-party apps · Elba — Browser extension capabilities · Nudge Security — Homepage and discovery FAQ · Nudge Security — AI security and governance · With Wings — Agent exposure management

3. Follow a finding through to its outcome

A finding is useful when someone can make the right decision and carry it through. Ask each vendor to demonstrate the response, the actor, the failure path and the evidence left afterward.

  • Elba: configured Playbooks can distribute an issue, notify admins, assign complementary training, remediate a source-supported issue or block a supported browser action. Available actions depend on the trigger and connection. An access-review decision or revocation request is not verified removal.
  • Nudge: its OAuth page describes grant review and revocation workflows; its AI page also describes in-browser policy enforcement. Employee justification and supported automated action should be evaluated separately.
  • With Wings: its stated model maps agent reach and reduces authority, with recovery support. Its Control Agent describes permission and policy-drift checks. Validate the action and recovery path for your connections.

References: Elba — Playbooks · Elba — Identity and access reviews · Nudge Security — OAuth risk management · Nudge Security — AI security and governance · With Wings — Agent exposure management · With Wings — Control Agent

4. Test AI data coverage explicitly

Use synthetic data to compare the same action, account and browser in each product. Test a harmless prompt, a sensitive example, a supported text upload and a format outside the inspection scope. Record whether each case is observed, warned about, blocked or not inspected. A successful upload without an alert does not prove its contents were inspected.

Elba can monitor or block supported sensitive prompts and uploads according to its configured Playbook. Supported text files provide a bounded excerpt; PDFs, Office files, most images and archives provide metadata only. Incomplete inspection does not itself block an upload. Coverage depends on the app, browser, enrollment, format and policy.

Nudge also documents sensitive upload and copy/paste monitoring through its browser extension. Compare the actual covered tools and actions instead of assuming that email discovery is its only signal.

Ask each vendor what is processed, sent to a classification service and retained. Elba’s relevant prompt or bounded excerpt can pass through its classification service; a stored finding is not a guarantee about every processing step or provider’s retention. Review the current documentation for the deployment you intend to use.

References: Nudge Security — AI security and governance · Elba — Browser extension deployment and processing scope · Elba — Shadow AI control validation

5. Keep SaaS sharing and access evidence distinct

An AI-use inventory and a SaaS-sharing review answer different questions. If oversharing is in your pilot, include a test document shared beyond its intended audience and check the response in that source application.

Elba Data Protection supports Google Workspace, Microsoft Teams, Slack, SharePoint, OneDrive, Dropbox and Confluence, with different detection and remediation capabilities by source and object. A supported Google Drive sharing-removal result and an access-review revoke decision remain different kinds of evidence. Check the actual outcome before reporting an exposure closed.

References: Elba — Data protection · Elba — Identity and access reviews

6. Match the approach to your team

Choose the pilot that answers your team’s main question. The following are evaluation starting points based on the reviewed descriptions, not measured rankings or a claim that another vendor lacks a capability.

  • Start with Nudge if email-led inventory, vendor review or SaaS-spend visibility is your first question; include its browser/API coverage where relevant.
  • Start with With Wings if agent reach and excessive inherited authority are the main concern; prove the required connections and response in your estate.
  • Start with Elba if lean IT needs application evidence, supported AI/data controls and source-aware follow-through in one workflow. Demonstrate each required connection rather than relying on a catalogue count.

References: Elba — Third-party apps · Elba — Playbooks · Nudge Security — Homepage and discovery FAQ · Nudge Security — AI security and governance · With Wings — Agent exposure management · With Wings — Control Agent

How Elba supports the evaluation

Elba keeps connector-confirmed accounts and grants distinct from email-supported use and browser observations. Its application inventory can support approval decisions and investigation without turning an observed visit into a verified account.

Use the source capabilities shown in your workspace to select supported responses. Access reviews can delegate decisions and export evidence for supported connected applications or reviewed authoritative imports. A discovery catalogue is not the number of connected applications, and a completed review does not establish that every requested change was verified.

References: Elba — Third-party apps · Elba — Playbooks · Elba — Identity and access reviews

Checklist: run a fair pilot

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Common questions

What is the difference between Shadow IT and Shadow AI?

Shadow IT is technology used outside the organization’s approval process. Shadow AI is the AI subset, including chatbots, assistants and agents. Review the work purpose, account, data and connected permissions before deciding what is acceptable.

Can email-based discovery find every application?

No single signal establishes everything. Email can reveal sign-ups and activity; connected sources can confirm accounts and grants; browsers can add observed use. Evaluate each vendor’s combined deployment and keep the evidence types distinct.

Does Elba automatically revoke every risky application?

No. Configured Playbooks support only available source actions or browser blocks. Review decisions and revocation requests do not prove removal; check the specific connection’s result.

Can a small IT team evaluate these tools?

Yes. Limit the pilot to a representative authorized group and a few synthetic scenarios. Count the decisions and follow-up work that remain with IT, and check outcomes in the source. Do not choose from application counts or a promise of universal coverage alone.

Sources & further reading

Primary documentation used to review this guide. Product settings and edition requirements can change; check the linked documentation before making changes.

Put it into practice

Shadow AI inventory and controlsUser access review checklistAudit third-party OAuth appsSaaS employee offboarding checklist
AI security6 min

Shadow AI: discover tools and control sensitive data

Build a Shadow AI inventory, distinguish observed use from verified access, and test controls for sensitive prompts and uploads.

Read the guide
Data protection9 min

Google Workspace DLP: setup, rules and limits

Check your Workspace edition, configure Drive DLP rules, test detections, and fix risky sharing. Includes rule examples and an access-review checklist.

Read the guide
Applications and access6 min

User access review checklist: from accounts to completed changes

Run an access review with verified accounts, clear decisions, tracked changes, and completion evidence. Includes a reusable review checklist.

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Data protection6 min

SharePoint external sharing: review access with Copilot in mind

Review SharePoint and OneDrive sharing, distinguish permissions from discovery controls, and verify access changes with owners and practical checks.

Read the guide
Data protection7 min

Find and fix Anyone links in Google Drive and SharePoint

Build a dated inventory of anonymous file links, decide with owners, and verify changes in Drive, SharePoint, and OneDrive.

Read the guide
Security awareness7 min

After a phishing click: check the SaaS controls training cannot close

Keep phishing practice, then verify mailbox rules, OAuth consent, file links, and sensitive AI use after a suspected compromise.

Read the guide
Application security7 min

Audit third-party OAuth apps in Google Workspace and Microsoft 365

Inventory connected apps and consent, rank grants by scope, and verify keep, restrict, or revoke decisions in the source.

Read the guide
Applications and access6 min

Employee offboarding checklist for SaaS access

Download a free offboarding review template. Confirm accounts, assign access changes, preserve ownership and verify removal in each source application.

Read the guide
Audit evidence8 min

Third-party SaaS and OAuth apps as ISO 27001 evidence (SMB checklist)

Turn your SaaS and OAuth app inventory into ISO 27001:2022 evidence: control mapping, dated exports, owners and decisions. A checklist for lean SMB teams.

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Platform evaluation4 min

Evaluate SaaS security across the whole workflow

Compare how your tools connect a SaaS finding, employee context, an authorised action and verification in the source application.

Read the guide

From review to remediation

See how Elba fits your Shadow IT workflow.

Bring your required signals and pilot scenarios to a demo with the Elba team.

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