Idempotency in distributed systems: preventing data duplication
A two-tier architectural control strategy: why automatic retries require idempotency and how to decouple transport acknowledgments from business transactions.
Read the latest article ↗Engineering decisions, approaches to information security and developments in the platform.
52 public articles
Try another search or browse all articles.
A two-tier architectural control strategy: why automatic retries require idempotency and how to decouple transport acknowledgments from business transactions.
Read the latest article ↗On October 19, 2026, LLC IQUSION IT held a final training seminar for its clients in the IQusion Days cycle – ‘AI Governance and RAG: Enhancing Control…
On October 16, 2026, during the IQusion Days event, LLC IQUSION IT showcased updated human resource management information systems for businesses and…
On October 15, 2026, LLC IQUSION IT held a presentation "FinOps and Cloud Optimization" for its clients as part of the IQusion Days cycle. The company…
On October 14, 2026, as part of the IQusion Days series, LLC IQUSION IT held a training seminar for its clients on the topic "Cybersecurity based on the…
During the IQusion Days event, LLC IQUSION IT presented the capabilities of artificial intelligence application in corporate business process management…
In the era of generative AI, visual data verification is losing relevance. Architectural integrity and cryptographic provenance are the new security standards.
LLC IQUSION IT (iQusion IT) launched the IQusion Days cycle with a series of presentations for potential corporate clients on the application of voice…
Transitioning to industrial AI in DMS requires a paradigm shift: from seeking model accuracy to architectural risk management based on NIST and DMN standards.
Integrating AI agents requires moving away from "super-user" models toward standard Zero Trust mechanisms. Learn how RLS and ACL minimize risks for enterprise systems.
How to integrate AI agents into the corporate perimeter so they become user-managed, rather than a source of risk for data security and business process integrity.
Bridging the gap between operational technology (OT) and business systems (IT) by implementing the OPC UA standard and semantic normalization for effective automation.
Transitioning to declarative policies within an Archive as Code strategy enables automated compliance and reduced TCO, turning passive archives into managed assets.
How to avoid AI agents becoming 'black boxes'? Digital provenance ensures architectural transparency and decision auditing in complex enterprise systems.
We explore architectural approaches to integrating AI agents into business processes, focusing on maintaining access control and data integrity.
Integrating industrial equipment data into corporate ERP/MES systems: bridging the IT/OT gap using OPC UA and network segmentation principles.
How to implement intelligent document classification without becoming a hostage to the AI "black box"? We analyze approaches to transparency and auditing in corporate ECM.
Technical methods for countering number spoofing in VoIP networks. We examine implementing the STIR/SHAKEN framework for cryptographic call authentication.
How to implement AI agents in corporate infrastructure while minimizing data leakage risks? We examine the transition from "free agent" models to managed API architecture.
Static access models are vulnerable to phishing. We analyze how to transition from role-based trust to context-aware security in enterprise systems.
A 2026 enterprise modernization strategy: transitioning from fragmented microservices to domain-oriented models using metadata as a single source of truth.
Integrating AI into corporate document management requires moving from a 'black box' to an Audit-by-Design architecture. We explain how to ensure legal validity while maintaining control and Human-in-the-loop.
Learn how an iterative migration strategy helps telecom operators replace monolithic systems with an API-first architecture, minimizing operational risks.
How to protect corporate data when integrating AI modules? We examine the transition from perimeter defense to granular ABAC control based on NIST AI RMF.
Autonomous AI agents in ECM systems require dynamic protection. We analyze the limitations of RBAC and methods to prevent Excessive Agency risks.
Traditional perimeter security is insufficient for protecting critical assets. Learn how implementing granular access control at the data level helps meet CISA CPG requirements.
Modernization via an integration layer allows for connecting fragmented business processes and implementing an API-first interface without full system replacement.
How to implement the principle of least privilege and architectural metadata-level access restrictions to prevent a compromised administrator from threatening business data.
Integrating visual AI control systems with ERP and DMS: architecture, ISA/IEC 62443 security compliance, and transforming raw logs into business events.
Transitioning from AI pilot projects to production often stalls due to inadequate IT infrastructure. Learn how to build a secure framework for LLMs while adhering to data governance.
Integrating AI agents into BPM workflows requires shifting from static RBAC to dynamic Attribute-Based Access Control (ABAC) and row-level security for data protection.
How to protect integration nodes from lateral movement and ensure NIS2 supply chain security requirements at the architectural level.
How to transition from IoT pilots to scalable enterprise ecosystems. We examine balancing Edge/Cloud, securing the IT/OT perimeter, and integrating with business processes.
Modernizing IT infrastructure without full system replacement: how an integration layer connects legacy registers with modern EDM interfaces while maintaining data integrity.
How telecom operators can transition to TM Forum's Open Digital Architecture without risky rip-and-replace, using data metamodels and low-code microservices.
Transitioning from chaotic point-to-point connections to managed integration gateways to ensure end-to-end transaction auditing and protect industrial perimeters.
Reducing enterprise time-to-market requires eliminating infrastructure glue. Shifting from fragmented scripts to a unified platform-level data metamodel frees resources to focus on delivering business value.
Transform chaotic document archives into secure digital assets using intelligent automation, ISO 15489 methodology, and modern low-code platforms.
Why traditional CDR analysis is ineffective against modern VoIP fraud and how to build a real-time architecture to secure billing systems.
Legacy systems do not require a full rewrite. Learn how integration patterns, data metamodels, and event-driven architecture help isolate legacy cores and scale infrastructure securely.
We explore strategies for modernizing legacy IT infrastructure by implementing an API layer and event-driven architecture to resolve point-to-point integration chaos.
Architectural challenges of integrating AI agents into enterprise document management systems: preventing data leaks and mitigating Excessive Agency risks per NIST AI RMF.
Effective security monitoring in air-gapped networks requires a multi-layered architecture. We examine NIST requirements, log protection, and data transmission.
Ensuring cyber resilience for critical infrastructure through NIS2 and CISA CPG compliance in ECM systems using robust audit and access control mechanisms.
How to securely integrate AI agents into corporate processes using BPMN 2.0, DMN, and Governance as Code platforms to avoid excessive agency.
How to implement Zero Trust and Row-Level Security for industrial data without compromising process continuity or halting production.
Transitioning to a Zero Trust model requires re-architecting Identity and Data layers. We analyze maturity criteria based on CISA and NIST standards.
Learn how to avoid over-provisioning when moving legacy systems to the cloud. Optimize costs using FinOps practices and domain metadata models.
Transitioning from chaotic experiments with large language models to managed AI processes: integrating NIST AI RMF requirements into corporate BPM architecture for risk management.
A guide to secure data exchange architecture using data diodes. Transitioning from synchronous APIs to asynchronous message queues in isolated environments.
Building an electronic document management system in a closed loop while meeting QES, RLS/ACL, and cybersecurity standards without sacrificing flexibility.
Physical isolation does not eliminate cyber risks; it shifts their vector. We explore secure methods for importing updates and monitoring air-gapped systems.