RabbIT Solutions

The company’s products are designed with a focus on integrating artificial intelligence while strictly adhering to applicable legal and ethical requirements.

Internet technologies have become an integral and indispensable part of nearly every aspect of public and economic life. This requires businesses to adapt quickly and implement software solutions that ensure their security and long-term viability.

In parallel with technological development, risks have also grown, both from cybercrimes committed entirely in a virtual environment and from traditional criminal activities, the commission of which is significantly facilitated by technological means.

Today, we are talking about globalised crimes carried out in and through the internet environment, which by their very nature require coordinated international measures for prevention and counteraction. These include:

  • Money laundering
  • Financing of terrorism
  • Financing of the proliferation of weapons of mass destruction

There are international standards, as well as European and national regulatory requirements, that are mandatory for companies operating in sensitive and high-risk sectors. The regulatory framework is dynamic and constantly evolving, which poses significant challenges for businesses.

In practice, these challenges cannot be effectively overcome—neither in terms of quality nor quantity—solely through the deployment of human resources.

Non-compliance with applicable regulations leads to:

  • Administrative penalties
  • Significant financial losses
  • Serious reputational risk

A company’s reputation is a prerequisite for its sustainable development and the trust of partners, customers, and regulators.

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AI as a Compliance Tool

This is where artificial intelligence comes in as a compliance tool.

Through automation and the processing of large datasets, AI systems significantly enhance the effectiveness of internal controls and compliance systems. AI supports processes such as:

  • Identification
  • Risk assessment and categorisation
  • Transaction monitoring
  • Behavioural pattern analysis
  • Early detection of suspicious transactions

Its improper implementation or the lack of adequate continuous oversight throughout the system’s lifecycle can lead to significant legal, ethical, and technological risks.

To ensure permissible use, AI should be approached with heightened attention, criticality, and precision due to risks arising from:

  • Improper design
  • Inadequate training
  • Faulty implementation
  • System errors
  • Discriminatory effects
  • Disproportionate infringement of rights
  • Lack of explainability
  • Lack of traceability of algorithmic decisions

The subject matter is extremely sensitive and requires an interdisciplinary team of specialists who conduct:

  • Preliminary risk assessment
  • Model validation
  • Testing
  • Control
  • Continuous monitoring

These activities span the entire lifecycle—from planning and development to production deployment.

In this spirit, the European regulatory framework on artificial intelligence establishes fundamental principles.

Key Principles for the Use of AI

1. Targeted and Justified Use

AI should be implemented only when it has been demonstrated that its use is:

  • Necessary
  • Appropriate
  • Proportionate to the legitimate objective pursued

Its application must lead to lawful outcomes.

2. Human Oversight

Artificial intelligence should not operate completely autonomously and without effective human control.

The human factor remains indispensable for:

  • Monitoring
  • Validating results
  • Intervening in case of deviations

3. Risk-Based Approach

Technological solutions must be proportionate to the level of identified risk, avoiding disproportionate intervention.

Uniform and mechanical treatment of individuals is contrary to:

  • Modern regulatory principles
  • International standards in the field

4. “Zero Trust” Principle

Systems are built on the presumption of potential risk, with:

  • Continuous verification
  • Traceability mechanisms
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Legal and Ethical Dimensions

The legal aspects are closely linked to the ethical dimensions of artificial intelligence use because AI affects fundamental rights, including:

  • The right to privacy
  • Non-discrimination
  • Protection of personal data

Intrusion into the private sphere can be legally justified only when it is:

  • Necessary
  • Appropriate
  • Proportionate to the legitimate objective pursued

This reflects:

  • The principle of proportionality
  • The application of a risk-based approach

The fundamental principle in AI implementation is that it should be treated as a tool supporting decision-making rather than replacing final human expert assessment and responsibility.

About Us

Rabbit Solutions is the first Bulgarian RegTech company specialising in the development and implementation of software solutions for regulatory compliance.

Our products focus on:

  • Risk-based compliance
  • Process automation
  • AI integration
  • Strict adherence to legal and ethical requirements

RabbIT offers a unified platform with four specialised modules:

  1. KYC/KYB Verification
  2. AML/CFT Screening against sanctions lists
  3. Transaction Monitoring (real-time and post-transaction)
  4. Onboarding process automation

Our mission is to stay one step ahead in both:

  • Technological innovation
  • Regulatory developments

to provide sustainable, effective, and long-term solutions.

AI Applications in Regulatory Compliance

We integrate artificial intelligence into key compliance areas:

Identity Verification

  • Recognition and authenticity verification of identification documents

Reputational Risk Assessment

  • Semantic analysis of adverse media

Transaction Monitoring

  • Intelligent monitoring models that analyse and compare:
    • Actual customer behaviour
    • Expected risk profile
    • Declared economic activity

For Rabbit Solutions, business security is a top priority, and the automation we provide—including through AI—significantly optimises workflows.

 

Disclaimer: The original article was published in Bulgarian by Capital on 1.04.2026 here: read more