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Shadow AI in 2026: How to Control Data When Every Department Runs an AI Agent — Softprom

News | 29.07.2026

Shadow AI is the use of AI tools and agents by employees without the knowledge or control of IT and security teams — from a contract pasted into a public chatbot to autonomous agents connected to CRM and email. In 2026 it is the fastest-growing category of insider risk: AI makes attacks faster and cheaper, while corporate data leaks not through a breach, but through an innocent "help me with this document". Softprom — a value-added IT distributor since 1999, operating in 33 countries across Central and Eastern Europe, the Caucasus, and Central Asia, with 120+ vendors in its portfolio — explains why bans don't work and which three control layers actually close the risk.

Why Banning Doesn't Work

A banned tool doesn't disappear — it moves to a private browser and a personal phone. The company loses not the risk, but the visibility of the risk. The working strategy for 2026: allow — but see, classify and restrict.

Three Layers of Control

Layer / the question it answers Solution from the Softprom portfolio

Usage visibility
Who sends which data to which AI services

Menlo Security (browser isolation and GenAI session control)

Application risk scoring
Which SaaS/AI extensions have access to corporate data

Spin.AI (inventory and risk scoring of AI applications)

Protecting the data itself
What happens to a file AFTER it leaves the perimeter

Seclore (data-centric protection: rights live inside the file)

A Shadow AI Policy in 5 Steps

  1. Inventory: a list of all AI services actually in use — Spin.AI shows this in hours, not months.
  2. Data classification: what must never end up in a prompt.
  3. An allowed perimeter: corporate accounts instead of personal ones, isolated sessions (Menlo Security).
  4. File-level protection: documents with embedded rights (Seclore) — even a sent file stays under control.
  5. Training: not "AI is forbidden", but "here is how to use it safely".

FAQ

Employees use AI services without IT's knowledge, and corporate data ends up in third-party models and APIs.

No: tools migrate to personal devices and the company loses visibility. Control beats prohibition.

Tools like Spin.AI scan the SaaS environment and show all connected AI extensions with a risk level.

The data-centric approach (Seclore): access rights are embedded in the file and can be revoked even after sending.

With an AI usage inventory. Softprom provides a pre-sales consultation and a demo-lab pilot free of charge.