Cybersecurity as a discipline: threat modeling, architecture, and business risks
Moving from chaotic software procurement to systematic cyber resilience through threat modeling, architectural controls, and Security by Design principles.
INSIGHTS & PRACTICE
Practical guides to data, integrations, enterprise platforms and applied AI.
11 publications
Moving from chaotic software procurement to systematic cyber resilience through threat modeling, architectural controls, and Security by Design principles.
Protecting AI services from prompt injection and data leaks in 2026 requires a comprehensive approach and integration with existing cybersecurity tools.
AI-driven compliance is transforming ISO/IEC 27001 and SOC 2 audits by automating evidence collection and non-compliance detection.
By 2026, over 70% of new AI systems will experience data breaches due to inadequate Data Loss Prevention (DLP) integration, necessitating a reevaluation of sensitive information protection in the age of artificial intelligence.
By 2026, over 70% of new enterprise content management (ECM) systems will integrate artificial intelligence capabilities to automate processes and enhance efficiency. This will transform ECM from a passive repository into a proactive decision-making tool.
The growing volume of unstructured data necessitates new archiving approaches. Scriptum.Repository, developed by InBase, integrates AI for efficient corporate archive management, ensuring rapid access and regulatory compliance.
By 2026, over 80% of large enterprises plan to utilize integrated RPA and low-code solutions for business process automation, highlighting the critical role of platforms like Scriptum. This trend is driven by the need to enhance operational efficiency, reduce costs, and accelerate time-to-market for
Traditional approaches to ERP system security are outdated and struggle to cope with modern threats. The Zero Trust concept offers a radical shift, requiring continuous verification of every user and device, regardless of their location.
Approximately 70% of corporate information remains unstructured, complicating document search, analysis, and management. Effective implementation of ECM systems is critical for optimizing business processes and ensuring regulatory compliance.
The integration of artificial intelligence into electronic document management systems, particularly Megapolis.DocNet, opens new opportunities for automating routine tasks, enhancing efficiency, and improving information security. This enables a reevaluation of approaches to archiving and corporate
Traditional network perimeter security approaches are no longer sufficient for modern cyber threats. Zero Trust architecture offers a radically new approach focused on continuous verification and access minimization, regardless of user or device location.