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Past CIONET Events

37699204923

Belgium 2-6-26 [TRIBES Squad Session] Invitation Only Virtual english

The Self-Healing Infrastructure: Designing automation that prevents failure without creating blind spots

Automation was supposed to make infrastructure predictable. Systems would detect anomalies, resolve issues, and learn from every incident. And for a while, it worked: fewer tickets, faster recovery, better uptime. Until something broke silently, and no one noticed. The system had learned how to fix itself, but not how to explain what it did. That’s the new paradox of modern operations: The more autonomous your infrastructure becomes, the less visible it is. And when reliability depends on AI-driven logic, trust becomes the main failure point. Who monitors the machine that monitors everything else? At what moment does “self-healing” turn into “self-hiding”? So how do you build automation that keeps humans in the loop without slowing response? How do you set the right limits before systems act faster than people can intervene? And what skills do operations teams need when they’re managing learning, not just code? Let’s talk about what’s really changing in infrastructure operations: new accountability, new transparency, and the boundary between automation and control. A closed conversation for those designing systems that recover gracefully and stay explainable when they do.

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Belgium 2-6-26 [Round Table] Invitation Only Physical english

Federated Data Consumption

Federated Data Consumption, Unified Meaning How do we keep one semantic contract across platforms, tools, and teams? “Hybrid by default” is the normal situation for most companies: SaaS, operational databases, APIs, multiple clouds, legacy platforms. And even though the intention is to simplify, it often leads to chaotic data consumption that goes everywhere. Trusting and accessing the right data becomes a challenge, especially when there is no consensus on what the data actually means. FTE, Customer, Revenue, Risk, Order… definitions drift across domains and tools, and you end up with duplicated pipelines, fragile integrations, and endless reconciliation. Let’s challenge that. With AI now sitting on everyone’s agenda, the need for basic data sanity is not optional anymore. If teams want to scale analytics, automation, and AI safely, we need a way to consume data across the estate while keeping meaning consistent. We need to decide where semantics live, how they’re maintained, how governance and security travel with the data, and when caching is a smart optimisation versus just another copy that nobody owns. So how do we enable cross-estate consumption that scales? Do we keep rebuilding the same logic five times? Do we force every team to learn a new dialect for every platform? Or do we finally agree on a shared semantic contract and make it usable across the enterprise?

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Netherlands 2-6-26 [Round Table] Invitation Only

The paradox: Governance in the age of autonomy - Executive Round Table

On June 2, CIONET and AvePoint will host a private round table dinner at Restaurant Den Burgh focused on one of the biggest leadership challenges in AI: how to govern AI adoption when innovation is moving faster than control. Together with John Peluso, CIOs and senior digital leaders will discuss Shadow AI, Agentic AI, governance, liability and practical ways to balance risk with innovation in a confidential peer setting.

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Germany 18-5-26 [Online Briefing] Country Members Virtual german

Online: AI & DATA Knowledge Transfer - Briefing 25

Unsere Wissensaustausch-Briefings "AI & Data Knowledge Transfer" zielen darauf ab, CIDOs und Senior Digital Leaders mit praktischen Anwendungen und umsetzbaren Erkenntnissen von Fachexperten zu vermitteln, die den Weg für transformative digitale Reisen ebnen.

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Belgium 2-4-26 [Advisory Board] AB Members Physical english

Advisory Board: Signal Over Noise

CIOs face a growing range of enterprise-wide decisions—AI adoption, cyber resilience, vendor dependency, cost management, regulatory compliance, and operating-model friction. Failures rarely stem from technology itself, but from decision paralysis caused by too many stakeholders, unclear decision rights, risk-averse language, and leadership demanding both speed and certainty.

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Belgium 19-3-26 [Circle - Rencontres] Country Members Physical french

Vendor Detox: La consolidation vaut-elle le risque ?

Moins de Partenaires : La consolidation vaut-elle le risque ? Le problème est la prolifération des fournisseurs : trop d'outils causant de la complexité, une taxe d'intégration paralysante et de la redondance. La Taxe d'Intégration est le coût caché (en temps, en échecs et en ressources) d'essayer de faire fonctionner ensemble des systèmes disparates. Cet échange se concentre sur des stratégies éprouvées pour simplifier de manière agressive le parc technologique, consolider les fournisseurs et élever certains fournisseurs clés au rang de partenaires stratégiques.    

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Belgium 10-2-26 [Round Table] Invitation Only Physical english

CIONET Round Table - Resilience: Competitive Advantage?!

Escalating global instability and rapid technological shifts are creating systemic risk that transcends the CISO's and CIO’s office and now directly impacts the P&L and shareholder value. Driven by the new demands of EU directives like NIS2 and the accelerating push for digital sovereignty, this exclusive roundtable is designed for CIOs, CISOs as well as for CEOs, CFOs and board Members, who recognise that traditional risk mitigation is no longer sufficient.  We will explore how leading organisations are making proactive, strategic investments to intentionally de-risk their supplier chains, guarantee uninterrupted service, and leverage high-assurance stability as a premium market differentiator. They will show us how to quantify the Resilience Dividend: the tangible growth and customer trust earned by operating with superior, demonstrable stability.

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Belgium 5-2-26 [Circle - Cyber] All Members Physical english

AI for Security, Security for AI

This is the first event of CIONET’s Cyber Circle: a new three-event programme exclusively focusing on the most urgent, complex, and high-impact challenges in cybersecurity today.  This first event of the programme is entirely dedicated to AI's dual role in cybersecurity. To give CISOs clarity and direction, the session is structured around two distinct conversations: Part 1. AI for Security What AI Really Delivers Today — Beyond the Promises AI is marketed as the next revolution in cyber defense — from smarter detection to automated response and predictive analytics. But the reality is mixed: effectiveness varies widely, maturity is still uneven, and many promised capabilities remain aspirational. In this first part, we explore: Real vs hype in AI-driven cyber defense What mature CISOs are actually using today Where AI genuinely improves SOC performance — and where it falls short Hallucinations, false positives, and operational limits How attackers use AI to accelerate phishing, social engineering, and exploit development This is a grounded, experience-based look at what works, what doesn’t, and what is still wishful thinking. Part 2. Security for AI How to Protect AI Systems — New Risks, New Controls As organisations deploy AI models, they introduce entirely new attack surfaces. Securing AI requires capabilities that many cybersecurity teams are only beginning to develop. This second part focuses on: Attacks on AI itself: prompt injection, data poisoning, model extraction, adversarial inputs What leading CISOs are already doing to govern and secure AI applications What is working and failing in protecting AI systems in practice New skills, controls, and architectures required for safe, scalable AI adoption The organisational impact: oversight, risk management, and upcoming regulatory pressure This segment equips CISOs with the insight needed to secure AI responsibly and proactively.

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Spain 26-11-25 [Advisory Board] AB Members Physical spanish

Sesión Consejo Asesor Catalunya Q4

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Spain 12-11-25 [Round Table] Invitation Only Physical spanish

IA Práctica: Navegando con sentido

Cómo la IA puede aportar valor real a los procesos de negocio, simplificar tareas y facilitar la toma de decisiones sin añadir complejidad.

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