Belgium 23-9-25 Squad Only Virtual english
Security teams are overwhelmed. Too many tools. Too many alerts. Too few people. And now, increasing pressure from the board to protect everything, everywhere, all the time. Expect honest reflection, shared strategies, and a conversation that cuts through compliance noise and focuses on what to do when your team is stretched and your risk is rising.
Read MoreBelgium 23-9-25 Invitation Only Physical english
In today's rapidly evolving digital landscape, the financial services industry in Belgium faces a critical juncture regarding its cloud adoption strategy. While the allure of cloud computing – with its promise of scalability, agility, and innovation – is undeniable, the unique regulatory demands and paramount need for data sovereignty present significant challenges. This CIONET roundtable, aims to bring together Digital Leaders from the Belgian financial sector to discuss how to navigate these complexities. We will explore how financial institutions can leverage cloud technologies while ensuring complete control over their data, maintaining compliance with stringent European regulations like GDPR and DORA, and mitigating geopolitical risks.
Read MoreBelgium 24-9-25 Invitation Only Physical english
As smart devices proliferate across operational environments — from sensors on factory lines and GPS trackers in logistics fleets to wearables in healthcare and connected systems in smart cities — the integration of Managed IoT (MiOT) is accelerating. But with it comes a surge in cybersecurity risks. No longer isolated or air-gapped, OT systems are becoming fully networked, remotely accessible, and deeply entwined with IT. This creates a vulnerable, highly complex digital mesh, one where a single compromised device can trigger physical, financial, and reputational consequences.
Read MoreSeptember 23, 2025 Squad Session Squad Only Virtual english
Security teams are overwhelmed. Too many tools. Too many alerts. Too few people. And now, increasing pressure from the board to protect everything, everywhere, all the time. Expect honest reflection, shared strategies, and a conversation that cuts through compliance noise and focuses on what to do when your team is stretched and your risk is rising.
Read MoreSeptember 30, 2025 Squad Session Squad Only Virtual english
Everyone has technical debt. The question is what to do with it. Refactor now? Wait for the next feature? Build on it and hope it holds? If you’re tired of debating whether to clean up or move on, this session helps you frame the debt conversation in a way that supports both speed and stability.
Read MoreOctober 2, 2025 Squad Session Squad Only Virtual english
Architecture doesn’t happen in diagrams. It happens in minds, seasoned, curious, sharp minds that understand how the pieces fit. But who’s shaping these minds? Who’s growing the next generation of digital architects? If you’re responsible for complex systems, and for the people designing them, this session is for you.
Read MoreSwift innovates with Azure confidential computing to help secure global financial transactions
As the leading infrastructure provider for financial messaging services, Swift has long been working on new ways to detect financial crime. Swift and Microsoft are building an anomaly detection model for transactional data, using federated learning techniques along with Azure Machine Learning and Azure confidential computing.
Using Azure Machine Learning, we can train a model on multiple distributed datasets. Rather than bringing the data to a central point, we do the opposite. We send the model for training to the participants’ local compute and datasets at the edge and fuse the training results in a foundation model.Johan Bryssinck: AI/ML Product and Program Management Lead - Swift
Citizens. Countries. Continents. The entire world relies on the efficiency, reliability, and security of Swift’s global financial messaging network. Swift sets the industry standard for how financial institutions and banks communicate with each other. The member-owned cooperative provides secure infrastructure for money and security transfers and related information for over 11,500 financial institutions worldwide. Swift’s network and platform is trusted to provide seamless automated transmission, receipt, and processing of more than nine billion financial messages a year.
Detecting and stopping fraudulent attacks and crime is a priority for Swift’s customers so the cooperative is constantly innovating to strengthen security. “We connect financial institutions around the globe to our network and deliver products and services in over 200 countries. Our standards are used for financial institutions and banks to communicate with each other, which puts us in a unique position to bring the industry together to try to solve some of the most complex problems,” says Tom Zschach, Chief Innovation Officer at Swift.
As the industry provides faster payment solutions between individuals and organizations across borders, Zschach says the risk footprint increases, as do costs. This is especially true when accounting for secondary impacts like fraud remediation and fund recovery, making fraud a massive issue for all financial intuitions and their customers. “Fraud in payments is a major concern for our clients—in the order of magnitude of billions of dollars every year,” says Isabel Schmidt, Co-Head of Global Payments Products at BNY Mellon, a member of the Swift network. “Preventing financial crime is a problem that we cannot solve individually as a bank, we need to it solve collectively."
With the aim of creating a solution that combats the latest financial security threats, Swift, as part of its robust innovation agenda, has been collaborating with Microsoft. Using federated learning techniques in Azure Machine Learning combined with Azure confidential computing, Microsoft Purview, and a Zero Trust based policy framework, the two organizations are working to build a highly accurate anomaly detection model for financial transactional data. This is being done without copying or moving data from Swift members’ secure locations. Participants’ data remains confidential even while the new model detects anomalies and gains new insights that will help predict and prevent financial crime.
Johan Bryssinck, AI/ML Product and Program Management Lead at Swift, says the organization’s intent is to provide the model so Swift’s banking partners can share their own data to further educate the model. Once data has been collected, Azure confidential computing will securely run new models on the latest data to gain additional insights creating an ongoing cycle of learning that will help drastically improve the rate at which we can detect fraudulent financial transactions across the globe. “Our first ambition at Swift is to build a foundation model for anomaly detection that underpins the detection and prevention of fraud. Our ultimate goal is collaborating with Microsoft and our community to start thinking about how we can stop fraud occurring in payments,” says Bryssinck. “We are exploring the federated learning aspects of Azure Machine Learning where we take a model developed by Swift and further train and enrich it with additional customers’ data through Azure confidential computing.”
“Using Azure Machine Learning, we can train a model on multiple distributed datasets. Rather than bringing the data to a central point, we do the opposite. We send the model for training to the participants’ local compute and datasets at the edge and fuse the results in a foundation model,” says Bryssinck.
While the full potential of the model has yet to be reached, the shared vision is that it will become a potent new tool for reducing financial crime while achieving the highest level of security, privacy, and cost efficiency. “Working together with Microsoft and with our banking customers, we can build a model that's much more accurate and much more performant than I think has ever been seen in financial services,” says Zschach. ”Microsoft is a very important and productive strategic partner for us. There's a strong alignment in core values like trust and security. They’re able to bring the capability and the expertise to help us solve some of the toughest problems in finance.”
Our first ambition at Swift is to build a foundation model for anomaly detection that underpins the detection and prevention of fraud. Our ultimate goal is collaborating with Microsoft and our community to start thinking about how we can stop fraud occurring in payments.Johan Bryssinck: AI/ML Product and Program Management Lead -Swift
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Digital Transformation is redefining the future of health care and health delivery. All stakeholders are convinced that these innovations will create value for patients, healthcare practitioners, hospitals, and governments along the patient pathway. The benefits are starting from prevention and awareness to diagnosis, treatment, short- and long-term follow-up, and ultimately survival. But how do you make sure that your working towards an architecturally sound, secure and interoperable health IT ecosystem for your hospital and avoid implementing a hodgepodge of spot solutions? How does your IT department work together with the other stakeholders, such as the doctors and other healthcare practitioners, Life Sciences companies, Tech companies, regulators and your internal governance and administrative bodies?
Read MoreThe Telenet Business Leadership Circle powered by CIONET, offers a platform where IT executives and thought leaders can meet to inspire each other and share best practices. We want to be a facilitator who helps you optimise the performance of your IT function and your business by embracing the endless opportunities that digital change brings.
Read MoreDécouvrez la dynamique du leadership numérique aux Rencontres de CIONET, le programme francophone exclusif de CIONET pour les leaders numériques en Belgique, rendu possible grâce au soutien et à l'engagement de nos partenaires de programme : Deloitte, Denodo et Red Hat. Rejoignez trois événements inspirants par an à Liège, Namur et en Brabant Wallon, où des CIOs et des experts numériques francophones de premier plan partagent leurs perspectives et expériences sur des thèmes d'affaires et de IT actuels. Laissez-vous inspirer et apprenez des meilleurs du secteur lors de sessions captivantes conçues spécialement pour soutenir et enrichir votre rôle en tant que CIO pair. Ne manquez pas cette opportunité de faire partie d'un réseau exceptionnel d'innovateurs numériques !
Read MoreCIONET is committed to highlighting and celebrating female role models in IT, Tech & Digital, creating a leadership programme that empowers and elevates women within the tech industry. This initiative is dedicated to showcasing the achievements and successes of leading women, fostering an environment where female role models are recognised, and their contributions can ignite progress and inspire the next generation of women in IT. Our mission is to shine the spotlight a little brighter on female role models in IT, Tech & Digital, and to empower each other through this inner network community.
Read MoreWould you like to know more about CIONET Belgium, membership or partnership opportunities? Do you have feedback or any other question? Send us a message!
You can either send us a registered handwritten letter explaining why you'd like to become a member or you can simply talk to us right here!