Expertise

The company's practice is formed through projects related to critical infrastructure, management systems, and corporate AI environments

Integration of neural network information security system for the largest bank in the Russian Federation

Problem Statement

The growing use of AI models in corporate infrastructure has created the need to control the interaction between neural networks, internal systems, and sensitive data

The main goal was to reduce risks:

leakage of confidential information

uncontrolled data transfer to AI services

violation of corporate information security requirements

loss of observability when using intelligent systems

Technological Approach

The project is based on:

data control and filtering mechanisms

AI process observability tools

interaction logging and monitoring systems

integration with the corporate information security framework

The platform provided

control of data transfer between users and AI models

filtering of sensitive information

monitoring of interactions with intelligent services

data access management and AI usage scenarios

increased observability of processes within the AI infrastructure

Solution

To implement the project, the Baksan platform was integrated — a data protection system for AI and ML services

Result

The project enabled the creation of a secure AI operational architecture in an infrastructure with enhanced data protection requirements

The use of intelligent systems has become controlled,

observable, and compliant with corporate security requirements

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