Software Development
Secure SSDLC for AI systems: from static analysis to architectural control
AI integration requires updating the SSDLC. We explore the shift from traditional code analysis to architectural control...
// 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
Secure SSDLC in the age of generative AI
Implementing AI assistants requires shifting from blind trust in tools to architectural data control and mandatory code ...
Software Development
Implementing ISO/IEC 42001 in enterprise AI development
Transforming ISO/IEC 42001 requirements into engineering controls within the SDLC to ensure automated evidence for succe...
Software Development
Managing excessive agency in enterprise AI systems
Traditional RBAC cannot mitigate Excessive Agency risks. We explore architectural methods to constrain autonomous AI age...
Software Development
Scaling AI-assisted development in enterprise: from code generation to engineering discipline
By 2027, successful AI adoption in development will depend not on code generation speed, but on integrating AI tools int...
Software Development
Integrating AI/ML into products: From prototype to production
Transitioning from experimental ML models to robust enterprise systems using AWS Well-Architected Framework, Google SRE,...
Software Development
Platform engineering and IDP: accelerating development teams
Implementing platform engineering and an Internal Developer Platform (IDP) transforms infrastructure into a product, red...
Software Development
From MVP to production-ready: architectural discipline
Transforming a successful prototype into a stable enterprise solution using the 12-Factor App, SRE practices, and the We...
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 ...
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....