Software Development
Architectural defense against AI Prompt Injection and leaks
How to protect corporate LLM systems from Prompt Injection and data leaks at the architectural level in 2025, following ...
// expert
Serhiy Kravchuk
Head of AI Practice, Softengi
Leads AI systems and AI agents development at Softengi. Specializes in implementing bidXplore, salesXplore, solveXplore, and custom agent architectures. Lecturer and speaker at industry conferences on prompt engineering and LLM orchestration in enterprise environments.
Software Development
Enterprise developer: from code to AI system management
AI-native development is transforming the role of the enterprise developer in 2026-2027, shifting focus from writing cod...
Software Development
Domain-specific models: when corporate AI needs its own language
Corporate systems require domain-specific language models for security, efficiency, and compliance with unique business ...
Telecom
AI voicebots in telecom: balancing efficiency and customer trust
AI voicebots in telecom contact centers enhance efficiency but require a balance between automation and customer trust....
Telecom
AI Assistants for Contact Centers: From Chatbots to Voice AI
Modern customer service is undergoing a fundamental transformation. What began as simple scripted chatbots capable of a...
Software Development
Domain-specific AI models for enterprise applications
Domain-specific AI models are becoming a key tool for modernizing enterprise applications in 2026-2027, overcoming legac...
Telecom
AI Act compliance for AI communications in telecom
Telecom operators must proactively prepare data and enhance cybersecurity to comply with the EU's AI Act, minimizing fra...
Telecom
AI Act and the future of communications: challenges for VoIP and contact centers
The AI Act is changing the game for telecom operators. How to prepare VoIP and contact center data and architecture for ...