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Belgium 10-09-2026 Squad Only Physical english

Building the Infrastructure AI Needs: From computer and data access to scalability, cost control, and operational readiness.

AI is moving from pilots into operational use, and the infrastructure question is becoming more concrete. The challenge is deciding what needs to be built, expanded, controlled, or delayed as usage grows. Three pressure points usually appear first. - Compute capacity requires careful planning: teams need enough GPU, cloud, or specialised processing power, while keeping utilisation and cost under control. - Data movement becomes more demanding: AI needs access to data across systems, with latency, security, integration, and quality managed from the start. - Operational control becomes essential: monitoring, access rights, resilience, cost visibility, and ownership need to scale with usage. The working question is simple: how do we support AI at scale while keeping infrastructure efficient, governed, and financially sustainable? If you are working through these choices, let’s compare approaches with others facing similar constraints.

Belgium 15-09-2026 Squad Only Virtual english

Turning AI Pilots into Daily Workflows: How to move from experimentation to adoption by redesigning work, ownership, controls, and habits.

AI pilots are easier to launch than to embed into daily operations. The challenge is changing how work happens once AI becomes part of decisions, tasks, handovers, and controls. Three pressure points tend to decide whether adoption holds. - Workflow fit matters: AI has to enter the flow of work as part of the process. - Ownership needs to be clear: someone must own the process, the controls, the exceptions, and the outcome. - User trust has to be built: people need to know when to rely on AI, when to challenge it, and when to escalate. The working question is simple: how do we move AI from promising pilots into daily work while keeping clarity, accountability, and risk control? If this is part of your current reality, let’s compare choices, constraints, and lessons learned.

Belgium 17-09-2026 Country Members Physical french

Les Rencontres: CTO: Le Saint Graal?

Pendant longtemps, le TCO donnait une impression de contrôle. On investissait, on amortissait, on optimisait. Les coûts étaient visibles, relativement prévisibles, et structurés autour d’une logique claire entre CAPEX et OPEX. Ce modèle ne suffit plus à expliquer où va réellement l’argent. Aujourd’hui, une part croissante des dépenses IT ne repose plus sur ce que l’on possède, mais sur ce que l’on consomme: des tokens générés par l’IA des agents qui exécutent des actions en continu des outils SaaS qui se multiplient dans les équipes du cloud qui s’adapte en permanence à l’usage Le coût ne disparaît pas, mais il devient plus diffus, plus dynamique, et souvent plus difficile à attribuer, à expliquer, et à maîtriser. C’est là que des approches comme le Technology Business Management, ou TBM, redeviennent particulièrement utiles: non pas comme un exercice de reporting supplémentaire, mais comme un moyen de relier concrètement les dépenses aux services, aux usages, et aux décisions. Et c’est là aussi que la question du “Saint Graal” revient, mais sous une autre forme. Vous vous demandez peut-être: Comment garder de la maîtrise quand la dépense dépend du comportement, des usages, et parfois même de systèmes autonomes ? Comment piloter l’équilibre CAPEX/OPEX quand le cloud, le SaaS et l’IA déplacent progressivement les coûts vers des modèles variables ? Quels coûts restent encore trop souvent hors radar: ressources métier, formation, support, intégration, sécurité, gouvernance ? Et surtout, qu’est-ce qu’un “bon TCO” veut encore dire quand il faut le mettre en regard d’objectifs parfois plus stratégiques, plus longs à mesurer, ou plus difficiles à quantifier: qualité de service, résilience, agilité, expérience utilisateur, capacité d’innovation ? Ce sont précisément ces questions qui seront au cœur de notre rencontre: une discussion ouverte entre pairs, ancrée dans la réalité du terrain, pas pour débattre de modèles idéaux, mais pour comprendre comment chacun tente, concrètement, de mesurer, d’attribuer et de reprendre le contrôle, sans réduire la valeur d’un choix technologique à son seul coût.

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DealerSocket protects sensitive customer data in a hybrid cloud environment

Protects sensitive customer data in a hybrid cloud environment

OVERVIEW

DealerSocket is a leading provider of software solutions for the automotive industry, offering a suite of seamlessly integrated products to help dealers sell and service vehicles more profitably. Since 2001, more than 100 million vehicles have been sold through the company’s software platforms. DealerSocket’s software-as-a-service (SaaS) products include advanced customer relationship management (CRM), digital marketing and websites, vehicle inventory management, analytics reporting, dealer management systems for independent dealers, and solutions that streamline dealer operations.

Based in Dallas, Texas, DealerSocket also has offices throughout the U.S. and internationally. The company employs more than 1,000 team members, serving 300,000 active users at more than 9,000 dealerships. DealerSocket’s hybrid cloud environment combines Amazon Web Services (AWS) and VMware® data centers. The organization also uses containers for its growing DevOps practice.

CHALLENGES

DealerSocket’s top priority is protecting the credit data for more than 100 million auto sales for its customers. The company’s IT security team must protect this information on AWS and in its data centers to maintain compliance with regulations in the U.S. and worldwide. The effort was complicated by the acquisition of several new companies, which introduced a variety of tools into the mix.

“We needed to consolidate our security tools on a platform that was scalable, easy to deploy and use, as well as protect our cloud and virtual environments,” said Greg Tatum, director of DealerSocket’s network and security operations.

In addition to the need for broader and stronger security, DealerSocket wanted a solution that would support its DevOps operation. “DevOps presents unique security challenges,” said Tatum. “The move to DevOps requires security tools that our engineers and infrastructure teams can easily embed in applications, in real time as they are built.”

"We needed to consolidate our security tools on a platform that was scalable, easy to deploy and use, as well as protect our cloud and virtual environments."

Greg Tatum - Director of Network and Security Operations, DealerSocket

WHY TREND

When DealerSocket began its search for a new security solution, they wanted comprehensive reporting capabilities to support compliance with the Payment Card Industry Data Security Standard (PCI DSS) and other regulations. The solution had to be application programming interface (API)-driven, scalable, and easy to manage, install, and use. Finally, the solution would have to work seamlessly across Linux®, Microsoft® Windows®, Mac®, and virtual platforms.

Based on the results of the proof of concept, and on its reputation for innovative and effective solutions, Trend Micro was chosen among three vendors to provide the company’s security solution. “With a trusted partner like Trend Micro and its leadership in Gartner’s Magic Quadrant, our customers know their data is protected by one of the best companies in the business,” said Tatum.

"At DealerSocket, DevOps starts with engineering, infrastructure, and security leadership. We meet weekly to discuss the cultural changes required to make DevOps and security part of our culture."

Greg Tatum - Director of Network and Security Operations, DealerSocket

SOLUTION

DealerSocket selected Trend Micro™ Deep Security™ to use across all of its hosted infrastructure, including every endpoint within the AWS environment and in the data centers. “Deep Security is required as part of our security policy,” said Tatum. “A machine won’t go into the field unless Deep Security is installed.”

DealerSocket uses Deep Security’s antivirus, file integrity monitoring, and network intrusion detection and prevention features to protect its environment and support compliance. The solution’s reporting capabilities are instrumental in keeping the company secure across its entire infrastructure. “In addition to daily reviews, Deep Security reports are shared once a month with other teams that support our IT environments as part of our vulnerability and threat management review,” said Tatum.

RESULTS

With Deep Security protecting its AWS and data center environments, DealerSocket’s security team can quickly detect incidents and efficiently manage investigations, allowing them to provide vastly improved protection for the company’s data. Deep Security also met DealerSocket’s ease-of-use requirements from the start. In just 30 days, the solution was easily installed on 2,000 machines and the previous product was removed. The product supports DealerSocket’s DevOps goals with its full API enablement and scalability. Finally, Deep Security’s tools and reports have significantly simplified its compliance requirements. For example, the company’s last PCI DSS audit took only two and a half weeks.

WHAT'S NEXT

Looking ahead, DealerSocket plans to continue expanding its DevOps practice. Trend Micro is working with Tatum and his team to secure containers and is currently testing container security in its AWS environment. “At DealerSocket, DevOps starts with engineering, infrastructure, and security leadership. We meet weekly to discuss the cultural changes required to make DevOps and security part of our culture,” said Tatum.

Technologies

Trend Micro™ Deep Security™

Partners

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