#cloud migration challenges

#cloud migration solution

Offline #cloud migration moves data and applications from the organization’s on-premise automation infrastructure to the cloud without relying on the Internet. This strategy is frequently applied when a company has enormous amounts of data that would take too long to send over the Internet.

Online #cloud migration transfers digital assets and applications from a local data center to a cloud-based infrastructure over the Internet, without disrupting the business’s regular operations.

#cloud migration

#data governance

#data governance key elements

#data governance maturity model

Benefits of #data governance

Challenges and solutions in #data governance

ISO 22989
#AI Artificial intelligence —
Artificial intelligence concepts and terminology

☑️ ISO/IEC 22989:2022
Information technology - Artificial intelligence - Artificial intelligence concepts and terminology

☑️ ISO/IEC 23053:2022
Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML)

☑️ ISO/IEC 23894:2023
Information technology - Artificial intelligence - Guidance on risk management

☑️ ISO/IEC TR 24028:2020
Information technology - Artificial intelligence - Overview of trustworthiness in artificial intelligence

☑️ ISO/IEC 42001:2023
Information Technology - Artificial Intelligence - Management System (AIMS)

☑️ ISO/IEC AWI 42003
Information technology - Artificial intelligence - Guidance on the implementation of ISO/IEC 42001

☑️ ISO/IEC 42005:2025
Information technology - Artificial intelligence (AI) - AI system impact assessment

☑️ ISO/IEC 42006:2025
Information technology - Artificial intelligence - Requirements for bodies providing audit and certification of artificial intelligence management systems

☑️ ISO/IEC AWI 42007
Information technology - Artificial intelligence - High-level framework and guidance for the development of conformity assessment schemes for AI systems

☑️ NIST AI Risk Management Framework (AI RMF)
(Rev 1.0 - 2023)

☑️ NIST SP 800-53
Security and Privacy Controls for Information Systems and Organizations (Rev 5.1.1 - Nov 7, 2023)

☑️ EU AI Act
The AI Act is a European regulation on artificial intelligence (AI)
(July 2024)

☑️ General Data Protection Regulation (EU GDPR)
Europe’s data privacy and security law includes hundreds of pages’ worth of new requirements for organizations around the world
(May 2018)

☑️ ENISA AI Cybersecurity Guidelines

☑️ High-Level Expert Group on AI (HLEG) Ethics Guidelines

⬇️ Technical Part

☑️ MITRE ATLAS™
ATLAS (Adversarial Threat Landscape for Artificial-Intelligence Systems) is a globally accessible, living knowledge base of adversary tactics and techniques against Al-enabled systems based on real-world attack observations and realistic demonstrations from Al red teams and security groups.

☑️ OWASP AI Security & Privacy Guide

☑️ OWASP GenAI Security Project

☑️ Google Secure AI Framework (SAIF)

#AI standards and frameworks

Future of #cloud

According to Gartner, by 2027, cloud computing will become a key driver for business innovation and the common style of computing.

Firewall as a Service (FWaaS) is a cloud-based security solution that provides firewall capabilities, such as traffic filtering and threat prevention, without on-premises hardware, enabling scalable and centralized network protection.

#cloud #FWaaS

Benefits of #FWaaS: Why Modern Businesses Need It

A Secure Web Gateway (SWG) is a security solution that protects users from web-based threats by enforcing policies and filtering traffic.

#security

#Programming #Architecture Trends in 2025: What’s Shaping the Future of #Software #Development

1. Hyper-Modular #Microservices

While microservices have been the standard for several years, 2025 sees this approach becoming even more #modular and granular. The concept of hyper-modular microservices involves breaking down traditional microservices into smaller, highly specialized services. This enables even more flexibility and faster deployment cycles. In this architecture, each #service is lightweight and designed to fulfill a specific function, making the system easier to maintain and scale as needed. This trend aligns with the growing demand for highly adaptable and rapidly deployable applications.

2. AI-Optimized Architectures

#AI and machine learning are no longer just add-ons; they are integral to the #architecture itself. AI-optimized architectures involve embedding intelligent algorithms into the core layers of applications, allowing systems to self-optimize in real-time based on changing conditions. These architectures can dynamically adjust resource allocation, optimize workflows, and enhance user experiences through predictive analytics. AI-driven infrastructure management, where the architecture adapts and evolves autonomously, is expected to be a major trend by 2025.