IBA Group

02/09/2026

A cyberattack can wipe out a year’s profit, disrupt every part of the business, and damage customer trust in a matter of hours.

Security today requires a holistic approach that goes beyond traditional on-premise systems. As AI makes attacks faster, cheaper, and easier to automate, companies need to build resilience before an attack happens.

Technology managers can secure networks and build automated event detection, but security also depends on how people and the wider business operate. A complete security strategy combines technology, clear processes, employee awareness, and regular testing to identify weaknesses before attackers do.

Discover more insights https://blog.ibagroupit.com/2026/08/the-firewall-is-dead-welcome-to-the-age-of-relentless-ai-enabled-hacking/

Traditional firewalls need to be replaced by dynamic and intelligent security systems that are actively looking for unauthorized access.

01/09/2026

For small and medium-sized manufacturing enterprises, deploying AI on the shop floor promises unprecedented efficiency. However, rushing into algorithmic automation introduces a complex web of interconnected risks that can jeopardize operations if left unmanaged.

In the first article of our blog series on digital technologies in manufacturing, Raymond Sheen explores the hidden risks of shop floor AI adoption. The article covers technical performance and data integrity, process ex*****on and edge cases, personnel interactions and the human element, and management control and dynamic drift.

To harvest the rewards of AI, SMEs must look beyond vendor promises and implement robust human-in-the-loop governance that balances algorithmic speed with frontline manufacturing expertise. Discover the full article https://blog.ibagroupit.com/2026/08/navigating-the-hidden-risks-of-shop-floor-ai-adoption/

27/08/2026

Recovering legacy code does not mean recovering the knowledge behind it. A business-critical mainframe application can have its source code reconstructed and still stay difficult to understand. Business logic, dependencies, and architectural decisions may remain hidden inside years of accumulated code.

In our new article, Aleh Lapushanski, Division Director at IBA Group, explains why application knowledge is a critical foundation for mainframe modernization. He looks at how AI-driven code recovery and application reverse engineering can help reconstruct business context, map dependencies, and give engineering teams a clearer understanding of the systems they need to modernize.

Gain all insights https://ibagroupit.com/insights/application-reverse-engineering-mainframe/

Learn how IBA Group uses AI-driven application reverse engineering to recover lost COBOL codebases, restore application knowledge, and prepare business-critical mainframe systems for successful modernization.

25/08/2026

AI can create new opportunities for manufacturers, but it also raises important questions around regulation, liability, and intellectual property.
How can manufacturers implement AI without exposing their business to unnecessary risks?

In the final article of our blog series on manufacturing transformation, Jay Keller examines the balance between AI ambitions and the risks that come with them. He looks at data governance, risk assessment, IP protection, and the decisions manufacturers need to make before they scale AI across their business.

The article also addresses the EU AI Act and what its requirements mean for companies that plan to use AI in manufacturing. Delve into the details https://blog.ibagroupit.com/2026/08/supply-chain-excellence-managing-data-risk-and-trust-in-a-connected-world/

AI and data can create significant opportunities for manufacturers, but these opportunities also come with growing responsibilities.

20/08/2026

The use of AI is accelerating in almost every organization. The challenge is that AI adoption can move faster than governance. As a result, there is a gap between how AI is actually used and what leadership knows about that use.

In an article on Baltic News, Sergei Zhmako, Executive Vice President of IBA USA, examines the governance risks associated with public AI tools. He looks at data exposure, jurisdiction, intellectual property, and limited visibility into employee AI usage. Sergei also explains why AI adoption is becoming a board-level issue and when private AI deployment may be relevant for organizations.

Explore the full perspective https://balticnews.com/why-public-ai-has-become-a-governance-issue/

19/08/2026

Responsible business is reflected in the way IBA Group works every day. Our approach covers employee support, customer satisfaction, information security, IT education, community engagement, and environmental protection. These areas are part of how we manage the company, work with our stakeholders, and plan for long-term development.

✅ Our new blog article brings these aspects together and shares examples of how they are reflected in IBA Group’s activities. It also looks at our commitment to the UN Sustainable Development Goals and the efforts we make to achieve them.

Get the complete overview https://blog.ibagroupit.com/2026/08/responsible-business-in-action-iba-group-approach-to-sustainability/

IBA Group’s 2026 CSR Report provides an overview of the principles and practices that shape company’s approach to responsible business.

18/08/2026

Technology alone cannot deliver the full value of digital transformation. Manufacturers also need people who understand how to use new tools and a culture that supports experimentation, learning, and change.

In the fourth article of our blog series on manufacturing transformation, Jay Keller looks at the gap between AI ambition and practical adoption. He examines the skills manufacturers need, the role of reskilling, and what it takes to move beyond pilot projects and apply AI to real business challenges. Gain all insights https://blog.ibagroupit.com/2026/08/management-excellence-turning-data-and-ai-ambitions-into-business-results/

Technology alone cannot deliver the full value of digital transformation. Manufacturers also need people who understand how to use new tools.

11/08/2026

Legacy systems, fragmented data, and complicated IT and operational environments can turn promising cloud and AI initiatives into expensive and difficult transformation programs. What are the prerequisites for these technologies to scale?

In the third article of our blog series on manufacturing transformation, Jay Keller explores Industry 4.0 and the foundations needed for cloud and AI transformation. He looks at how manufacturers can connect operational data, modernize their environments, and manage complexity. Gain all insights https://blog.ibagroupit.com/2026/08/industry-4-0-building-a-connected-foundation-for-cloud-and-ai-transformation/

Legacy systems, fragmented data, and skills shortages can turn promising initiatives into expensive and difficult transformation programs.

06/08/2026

Where can businesses find growth?

This question has become especially relevant in the acquiring industry. Traditional retail payment infrastructure has reached maturity in many markets and new opportunities come from merchant segments that historically lacked access to payment acceptance.

Vadzim Smatrayeu, VP Fintech Services at IBA Group, shares a story behind our payment acceptance solution and explains how a response to a specific business challenge led to a different approach to digital payments. See the full picture https://blog.ibagroupit.com/2026/08/the-story-of-one-solution-as-a-reflection-of-business-transformation/

Successful transformation is not driven by technology alone, but by the ability to connect innovation with real business needs.