AI Without Risks: How to Balance Innovation and Data Security with Cribl and GTB Technologies

When a company starts actively using AI, the load on databases and analytical systems critically increases. Traditional information processing architectures lose their efficiency. Moreover, employees, unaware, may send sensitive corporate data to external AI models (e.g., trade secrets, source code, or clients’ personal data).

For safe integration of artificial intelligence, companies need a new technological foundation that addresses two tasks simultaneously:

1. Data optimization and preparation: Cleaning, filtering, and routing of information flows in real-time.
2. Continuous security perimeter: Control over where, how, and in what volumes data is directed, and instant blocking of leakage attempts.

The main danger of integrating artificial intelligence into corporate processes often lies in the human factor. Seeking to optimize their daily work, employees massively copy financial reports, customer databases, marketing strategies, or even source code into public chatbots and AI services. Once these data are on external servers, the company completely loses control over them – they become material for training general models and may “leak” in responses to other users, including competitors. Moreover, modern AI agents can independently and with great speed generate thousands of automated requests to the company’s internal systems. Without clear monitoring, security turns into a “blind spot”: the IT department simply does not see which massive amounts of confidential information leave the organization’s perimeter every minute.

In the webinar, experts will demonstrate how the joint application of solutions from industry leaders, Cribl and GTB Technologies, enables the creation of a unified, secure perimeter for working with data.

• Cribl acts as a flexible regulator of information flows. It allows preparing high-quality data sets for AI services in real-time, without overloading systems, and provides full understanding of what information circulates within the infrastructure.
• GTB Technologies provides intelligent DLP control (Data Loss Prevention). Advanced protection mechanisms ensure that no fragment of intellectual property or confidential data gets into unauthorized AI agents or external cloud platforms.

• Big data challenges in the AI era: why classical systems fail to meet the demands of automated agents.
• Cribl architecture as a foundation: how to optimize data flows and interact with AI without losing productivity.
• Complete DLP control from GTB Technologies: the role of intelligent content analysis in protecting sensitive information.
• Practical synergy: creating a continuous security perimeter to protect your business.
• Q&A session: answers to questions and personalized recommendations from technical experts.