The company's practice is formed through projects related to critical infrastructure, management systems, and corporate AI environments
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
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
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
To implement the project, the Baksan platform was integrated — a data protection system for AI and ML services
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
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
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
To implement the project, the Baksan platform was integrated — a data protection system for AI and ML services
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
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