CS

AI Gateway

AI Gateway: Take Control of Company AI

Your people use ChatGPT, Claude, or Gemini every day. But do you know exactly what data they send into them and how much it really costs you? AI Gateway turns shadow AI into a fully auditable system. It works as an intelligent firewall that protects your know-how, controls budgets, and gives company leadership confidence that AI is used safely and according to the rules.

AI inputs

  • Git / CI/CD
  • Chat / apps
  • Browser
  • CRM / ERP / Helpdesk
  • Slack / Teams
  • IDE / development

Users and systems send questions, documents, code, and data to AI

Captured

  • Birth number
  • API key
  • Critical passwords

AI Gateway

Security, governance, audit, costs

  • Sensitive data control (DLP)
  • Jailbreak and prompt injection detection
  • Approved models and access
  • Logging and audit trail
  • Limits and budgets
  • Approval of risky actions

Gateway captures harmful or inappropriate inputs, applies rules, records incidents, and returns a safe result.

AI models

Gateway forwards only a safe and approved request

Safe output

  • Response check
  • Sensitive data masking
  • Incident recording
  • Safe delivery to the user
The company has full
control over AI

The company knows what was blocked, why it happened, and how to keep improving the rules.

What the company gains

Lower risk of data leakage
Audit and complianceGDPR, NIS2, DORA
Cost control
VisibilityWhat happened, why, and what to improve
Shadow AI risks

The hidden risk growing
behind your back

Artificial intelligence is often used in companies without oversight. Employees experiment, send sensitive data to public models, and the company loses visibility into costs and security.
4

1 in 5 data leaks goes through AI

A full 20% of all corporate security incidents over the past year demonstrably involved misuse or uncontrolled use of Shadow AI.

Programs.com: Cybersecurity Education & Careers

An expensive oversight (+ USD 670,000)

According to IBM analysis, incidents in companies with high levels of uncontrolled AI cost USD 670,000 more on average. Investigating incidents without central logs is extremely complex.

IBM, August 2025

Massive copy-paste culture

Research shows that 77% of employees routinely copy company data directly into public GenAI tools. More than half of those pastes contain sensitive internal information or proprietary code.

uSecure

Lack of control (97%)

A full 97% of AI-related incidents happened in companies that did not have properly configured access roles and rules for using language models.

Programs.com: Cybersecurity Education & Careers
Technical capabilities

How AI Gateway works in practice

AI Gateway (AI Proxy) is a central infrastructure layer between your people and external LLM models. It works as an intelligent router and firewall.

Data protection (DLP)

It automatically detects and blocks leaks of birth numbers, IDs, IBANs, source code, salaries, or business contracts. It protects against jailbreaks.

Model governance

It assigns models by role, such as Claude for developers and GPT for legal teams. It enforces that EU citizens' data cannot leave the EU and blocks risky models.

Audit & NIS2 compliance

It logs the full trail: who used which model, when, and what answer they received. It generates solid evidence for ISO 27001 and NIS2.

Cost control (FinOps)

It sets budget ceilings for teams and projects. Routine queries are automatically switched to cheaper models, while expensive ones are reserved for complex tasks.

Typical scenarios

When will AI Gateway save your skin?

Instead of complex theory, here are 4 concrete situations AI Gateway solves for you:
4
  1. 01
    A developer copies code into a public AI
    They want to speed up their work, but unknowingly share internal know-how.
    Gateway recognizes it: It blocks the request, anonymizes it, or safely redirects it to an approved company model.
  2. 02
    Sensitive data shared through a public link
    An employee generates a public link to an AI conversation containing financial margins or NDA content.
    Gateway intervenes: It blocks external sharing of links with sensitive content across the board.
  3. 03
    An attempt to extract internal data (jailbreak)
    An attacker tries to force your company chatbot through a prompt to reveal a customer database or system instructions.
    Gateway stops the attack: It detects prompt injection and blocks the attempt.
  4. 04
    The token bill goes through the roof
    A forgotten script or careless developer generates 10 million tokens in a single day.
    Gateway protects you: It sends an immediate notification and prevents financial bleeding.
Target teams

Who is AI Gateway essential for?

The solution is designed for companies that need to combine AI flexibility with uncompromising security, cost control, and regulatory compliance.
~

Who primarily needs to manage AI usage?

  1. Regulated entities under ZKB / NIS2

    Companies and institutions covered by the new Cybersecurity Act.

    Kalkulačka NÚKIB

  2. Suppliers of regulated companies

    Development and IT companies delivering into banking, energy, or public administration, where security audits require full control over data flows.

  3. Companies with their own know-how

    Manufacturing and technology companies with 100+ employees that cannot afford leaks of source code, formulas, or business data.

What does AI Gateway solve for key leadership roles?

CEO & Statutory bodies

It turns personal legal responsibility for security required by ZKB into a systematically managed and auditable process.

CISO & Security managers

They get a robust audit log for control and an automated DLP tool that physically prevents data leakage.

CIO & IT Directors

They get centralized management of all AI models in one place without uncontrolled growth in token costs.

Cooperation process

What cooperation looks like

We do not deploy technology blindly. The whole process is designed so you know exactly what happens at every stage and can be confident the solution matches your needs.
  1. 01
    Discovery
    Together we identify the processes where your company faces the greatest security risks and design the first set of rules.
  2. 02
    Architecture & Proof of Concept (PoC)
    We design the technical connection of Gateway to your existing infrastructure and prepare an implementation plan.
  3. 03
    Implementation & Integration
    We connect Gateway to your real systems and use cases. We test operations and deploy production security and cost rules.
  4. 04
    Adoption & Improvement
    We teach your IT and security team to work effectively with Gateway. Based on real production data, we continuously tune the system.
Trust and security

Why trust Unnits with AI governance?

We do not sell boxed products or write theoretical reports. We design and integrate infrastructure so technology works humanly, fairly, and with measurable impact on your business.

Uncompromising protection of sensitive company data.

Clear, centralized management of access and models.

Completed audits and compliance with ISO 27001 and NIS2.

Absolute control over token costs.

How secure are your AI projects?

We will gladly sit down over coffee and spend 15 minutes discussing the key security risks of your AI solutions. Specific, no fluff.