AI-assisted code review: predicting and mitigating technical debt in 2026
By 2026, AI-assisted code review will shift from static analysis augmentation to predictive modeling, identifying architectural drift and potential technical debt hotspots…
AI-assisted code review: shifting from bug detection to architectural drift identification
AI-assisted code review tools are evolving beyond basic bug detection, offering new capabilities for identifying architectural drift and ensuring system consistency at…
EU AI Act impact on enterprise system design: preparing for 2026 compliance
The EU AI Act, set to be fully enforceable by 2026, introduces a tiered risk framework for AI systems, demanding significant architectural…
Composable architecture and AI: navigating the ethics of automated decisions
Integrating AI into composable architectures presents a critical challenge: ensuring ethical automated decision-making. This requires explicit design for transparency, explainability, and human…
The EU AI Act’s Impact on Enterprise System Design in 2026
The EU AI Act, effective in 2026, mandates significant architectural shifts for enterprise systems incorporating AI, particularly concerning data governance, transparency, and…
Applied AI in document workflows: where LLMs replace, where they fail
Large Language Models (LLMs) offer significant potential for automating document workflows, particularly in tasks involving natural language understanding and generation. However, their…
AI phishing: why even cautious employees open malicious emails
Artificial intelligence has radically changed the cybersecurity landscape, making phishing attacks unrecognizable even to experienced users. AI-generated emails now bypass traditional filters…
DLP in 2026: Data control beyond the corporate perimeter
By 2026, 60% of companies' sensitive data will be stored and processed outside the traditional corporate perimeter. This creates new challenges for…