What Is Shadow IT? How to Detect It and Manage the Risk

Denis Kildishev -

Shadow IT is any software, service, device or app used for work without the approval or knowledge of the IT department. A team signs up for a project tool on a credit card, a manager keeps customer data in a personal Google Sheet, an analyst builds an internal app on a free hosting account. Each one solves a real problem and each one sits outside the controls IT is responsible for.

Shadow IT is not new, but it has changed shape. It used to mean buying unapproved SaaS. Today it increasingly means building: teams creating their own apps, automations and AI tools on company data.

Examples of shadow IT

  • Unapproved SaaS: file sharing, project management or CRM tools signed up for by a single team.
  • Personal accounts: work files in personal Dropbox, Gmail or WhatsApp.
  • Spreadsheets as systems: a shared sheet that has quietly become the source of truth for orders or customers.
  • Homegrown apps: internal tools built by a team outside engineering, hosted somewhere IT does not know about.
  • Personal automations: Zapier or Make flows moving data between systems with one employee's credentials.
  • AI tools: chatbots, AI-built apps and agents used on company data, often called shadow AI.

Why shadow IT happens

Almost always, speed. The official route to a new tool takes weeks or months, and the problem needs solving this week. Other causes are unmet needs, where no approved tool does the job, and ease, where signing up takes two minutes. Shadow IT is a signal about demand as much as a risk.

The risks of shadow IT

  • Security: weak passwords, no SSO and no multi-factor authentication on tools holding company data.
  • Data exposure: sensitive data in systems with unknown security and retention.
  • Compliance: personal data processed outside approved systems, breaking GDPR, HIPAA or contracts.
  • Access that never ends: accounts that survive when an employee leaves.
  • Fragmented data: several versions of the truth in several tools.
  • Wasted spend: duplicate subscriptions across teams.

How to detect shadow IT

  1. Review expense and card data for recurring software charges.
  2. Check SSO and identity logs for OAuth grants to unknown apps, such as "Sign in with Google" connections.
  3. Use a SaaS management or CASB tool that discovers apps from network and browser traffic.
  4. Audit browser extensions on managed devices.
  5. Ask teams. A no-blame survey often finds more than any tool.

How to manage it

Triage, do not purge

Sort what you find into tools to approve, tools to replace and tools to retire. Removing something people depend on without an alternative just creates the next piece of shadow IT.

Shorten the official route

A lightweight review for low-risk tools, with a clear answer in days, removes the main reason for going around IT.

Provide a sanctioned way to build

Most homegrown apps exist because teams need an internal tool and engineering has no time. Giving them an approved platform to build on, with IT-controlled access, turns shadow IT into governed IT.

Enforce identity

Put approved tools behind SSO so access is granted and revoked in one place.

Where Jet Admin fits

Jet Admin is a sanctioned place for teams to build the internal tools, portals and AI apps they would otherwise build on their own. Teams describe what they need and Jet builds it on company data from 200+ integrations, without copying that data. IT keeps control through row-, column- and action-level permissions, SSO and audit logs on the Business plan and above, and on-premise deployment on the Enterprise plan. Users are unlimited on every plan, so adding a team does not require a budget request.

Frequently asked questions

What is shadow IT?

Technology used for work without IT's approval or knowledge, such as unapproved SaaS, personal accounts or homegrown apps.

Is shadow IT always bad?

No. It often points to real needs IT has not met. The risk comes from data and access that nobody controls.

What is the difference between shadow IT and shadow AI?

Shadow AI is the part of shadow IT involving AI tools, models and AI-built software, which adds risks because AI can generate and act on data.

How do you prevent shadow IT?

You reduce it rather than prevent it: shorten approvals, provide good approved tools, and enforce SSO on anything touching company data.

Turn shadow IT into governed IT

Start with Jet Admin for free and give teams an approved way to build on company data.