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Creemos que el impacto hacia afuera comienza con la forma en que cuidamos y desarrollamos a nuestra gente. En Suri, la responsabilidad social empieza desde casa.

¿Tu empresa realmente sabe qué tan expuesta está hoy?

Muchas organizaciones siguen creyendo que la ciberseguridad es un asunto técnico, cuando en realidad ya es una decisión de negocio, continuidad y reputación.

Después de recorrer Infosecurity México y analizar lo que esta edición dejó sobre la mesa, algo quedó claro: identidad, vulnerabilidades, datos, terceros, nube e inteligencia artificial ya forman parte de la misma conversación.

En nuestro nuevo artículo compartimos una lectura más amplia sobre lo que dejó Infosecurity México 2026, por qué la seguridad ya no puede tratarse como un tema aislado y cuáles son hoy los frentes más críticos que las empresas deberían revisar antes de seguir escalando tecnología sin control.

Si en tu organización ya están hablando de IA, automatización, nube o productividad, este artículo no es opcional: es contexto.

📖 Nota completa aquí: https://suriservices.com/infosecurity-mexico-2026-ciberseguridad-empresarial/

Explora, y aprende un poco más de Info Security, escucha los podcast de InfoSec sobre ciberseguridad: Radio Hub

Sitio web y redes de Suri Services

Sitio web oficial: Suri Services

Página de contacto: Contacto Suri Services

LinkedIn corporativo de Suri Services: Suri Services en LinkedIn

LinkedIn de Secure AI: Suri Secure AI en LinkedIn

Qué gusto haber vivido InfoSecurity con tanta energía, conversaciones valiosas y nuevas conexiones. 📷

Nos llevamos una gran experiencia, pero también una motivación aún más fuerte: seguir acercándonos a las empresas para ayudarlas a crecer, evolucionar y fortalecerse con soluciones de ciberseguridad e innovación que realmente generen valor.

Seguimos aquí, cerca de ti. 📷

There is a situation that repeats itself across many organizations, often without being fully questioned. Sales commits to a date based on what they see in the CRM, finance validates something different, and operations tries to reconcile everything in between. No one is wrong—each team is simply working with the information available to them. The issue arises when that information does not come from a shared, connected source, but from systems operating independently.

In theory, both the ERP and the CRM are doing their job. They capture, organize, and manage critical business data. In practice, however, they can end up functioning as separate environments that do not share context, forcing teams to manually fill the gaps the systems fail to bridge. This is where delays, repeated validations, and uncertainty begin to appear.

When this happens, organizations gradually start operating with fragmented information. What should move seamlessly across processes becomes duplicated, delayed, or rebuilt multiple times along the way. This is what data silos look like in reality—not as a technical failure, but as a structural gap where information is unable to flow consistently across the business.

The impact is not always immediate, but it compounds over time. Processes slow down, visibility decreases, and decision-making becomes less reliable. Many organizations interpret this as a technology limitation, when in reality it is a direct consequence of how their systems are connected—or not connected—within the operation.

For that reason, before considering replacing an ERP or switching CRMs, it is worth stepping back and looking at something more fundamental: whether information truly flows across systems, or whether each one operates as an isolated island. That distinction completely changes how the problem should be approached.

In the full article, I go deeper into how these silos are created, why they are more common than they seem, and what it actually takes to reconnect your systems and restore operational flow without rebuilding your entire stack.

👉 Read the full article here: https://suriservices.com/erp-crm-no-esta-vi/

Tu empresa puede tener el mejor servicio… y aun así perder contra alguien “promedio” que responde en horas, ejecuta sin fricción y cierra con claridad. La competencia no te está ganando por precio: te está ganando por tiempo.

Porque hoy el cliente espera una respuesta clara, completa. Y cuando tu operación depende de Excel, aprobaciones por correo y datos dispersos, tu margen empieza a diluirse con, retrabajo, errores y ciclos largos.

La automatización con IA no es un lujo ni una moda: es la forma de convertir tiempo de respuesta en ventaja competitiva. Pero ojo: la IA solo acelera lo que ya tienes. Si tus datos están desordenados y tus procesos no tienen dueño, vas a automatizar el caos.

Y la pregunta ya no es “¿cuándo metemos IA?”, sino: ¿qué parte de tu operación sigue diseñada para ser lenta?

En el blog completo te cuento qué pierde una empresa lenta, qué gana una empresa ágil y cómo empezar a construir velocidad real (sin humo) desde el primer mes.

Y si quieres, en Suri Services podemos ayudarte a identificar cuellos de botella, priorizar automatizaciones y asegurar una adopción con base sólida.

🚨 Cybersecurity is no longer just a technical topic — it’s an operational risk. From June 2–4, join us at Infosecurity México (part of the Expo Seguridad México ecosystem) at Centro Banamex.

✅ Register now

At the event, you’ll find: • Talks / workshops and expert-led content • Keynotes and an educational agenda • Exhibitors and solutions to strengthen your security strategy

🎟️ Secure your access here:

Hoy todas las empresas están hablando de inteligencia artificial… pero muy pocas están hablando de lo que realmente puede poner en riesgo TODO: la seguridad.

🎥 En esta entrevista, Ricardo conversa con Héctor Ocadiz sobre una realidad incómoda:

👉 La IA no solo transforma tu negocio… 👉 También puede convertirse en la puerta de entrada a la pérdida de información, control y confianza.

Porque sí: Muchas organizaciones ya están usando IA sin control, sin gobierno y sin una estrategia de seguridad clara. Y eso puede significar filtraciones de datos, accesos indebidos o incluso manipulación de sistemas completos

🚀 En Suri Services lo tenemos claro: La adopción de IA debe ir de la mano con estrategias como Zero Trust y gobierno de datos, porque sin seguridad… no hay transformación sostenible. 🎯 Ve el video completo aquí: https://youtu.be/y8kPIzjIObg o conoce más de Suri aquí.

Today, we’re dealing with:

AI tools operating outside corporate governance

Intelligent agents that already take real actions

Identities becoming the main attack vector

This isn’t theoretical. It’s happening right now.

In this webinar with Microsoft and Suri Services, we talk about Shadow AI, Secure AI, and how to adopt artificial intelligence without slowing down the business or putting security at risk.

If you’re making decisions in your organization, this content will make you pause and reflect.

🎥 The full webinar is now available on YouTube.

In this blog, we break down a reality that is already happening across organizations of all sizes:

AI agents with excessive permissions

Little to no visibility into what agents do or what they access

A lack of governance, identity, and continuous monitoring

New attack vectors that didn’t exist in traditional IT environments

When an AI agent fails—or is exploited—the impact is not theoretical: ⚠️ exposure of sensitive information ⚠️ flawed operational decisions ⚠️ legal, reputational, and business continuity risks

In the article, we explain how organizations are addressing these risks by adopting a security-by-design approach, using Microsoft Agent 365 as a centralized control plane to:

Manage agent identities

Enforce the principle of least privilege

Monitor agent activity in real time

Detect anomalous or risky behavior

Integrate security, compliance, and governance directly into Microsoft 365

This is not about slowing innovation. It’s about allowing AI to scale without losing control.

👉 If your organization already uses AI agents—or plans to—this is required reading. 🔗 Read the full analysis here:

La seguridad no es un complemento, es el punto de partida.

Nuestra IA se construye bajo principios de Zero Trust: nada se asume, todo se valida.

The big question now is: Are we prepared to manage it securely?

Today, cybersecurity is no longer just a technical issue; it has become a strategic challenge for leaders, executives, and decision-makers.

On April 23, we invite you to an executive conversation with leaders who face these challenges every day:

🔐 AI, cybersecurity, and strategic decisions, from a real-world, executive perspective.

👉 Register and join the conversation.

AI Culture: Where Innovation and Critical Thinking Meet

An AI culture isn’t just about using smart tools; it’s about learning to think with them.

It’s about questioning, testing, and creating with purpose.

At first, everything is enthusiasm.

The license is active, the emails announce it, someone from IT shares a couple of quick examples, and the organization feels it has already taken “the big leap” into artificial intelligence.

During the first few weeks, some users tried Copilot out of curiosity. They ask for summaries, corrections, and quick ideas. It works… but only halfway. Not because the tool fails, but because it doesn’t find fertile ground to operate.

Information is scattered. Documents live in legacy folders. Permissions have accumulated over the years without a clear structure. Copilot responds, yes—but often with generic, incomplete, or barely useful results. Little by little, the excitement fades. AI stops being a topic of conversation and becomes just another tab no one opens.

It wasn’t a lack of technology. It was a lack of context.

The Awkward Silence of Data That “Has Always Been There”

In almost every organization, there is a truth that is rarely spoken out loud:

Data grew faster than the ability to govern it.

Years of emails, duplicated versions, parallel reports, and access granted “just in case” built a fragile foundation. Before, that mess was annoying but manageable. With the arrival of AI, it becomes critical.

Copilot doesn’t question whether a file is the right one, the most recent, or the authorized one. It simply works with what it sees. And when it sees too much—or sees it poorly—the company starts to doubt.

Not the AI. Its own foundations.

That’s when the real question emerges:

Are we ready for artificial intelligence to navigate our information?

Adoption Doesn’t Fail Because of Resistance—It Fails Because of a Lack of Meaning

Many organizations assume that if users don’t adopt Copilot, it’s because they are “resistant to change.” Reality is usually simpler.

People don’t reject technology. They reject what they don’t understand how to use to improve their work.

When AI isn’t connected to real processes, clear objectives, or everyday problems, it feels like an interesting curiosity—but a disposable one. No one wants to invest time in learning something that doesn’t return to immediate value.

On the other hand, when Copilot is embedded into clear workflows—preparing a meeting, analyzing a report, responding to a customer, making a decision—adoption stops being a challenge. It becomes natural.

The difference isn’t in the tool. It’s in the experience design.

The Turning Point: When the Company Understands AI Is Not an IT Project

There is a defining moment in organizations that truly move forward.

It happens when Copilot stops being seen as a technological initiative and starts being treated as a strategic business decision.

At that point, the conversation changes:

It’s no longer just about licenses, but about impact.

The question shifts from what AI can do to where it creates the most value.

Improvisation disappears, and a roadmap is built.

Security, data, processes, and adoption stop being isolated topics and become part of a single effort. AI begins to make sense because it responds to clear vision.

It doesn’t happen overnight—but when it does, the difference is obvious.

When Copilot Stops Being a Promise and Becomes an Ally

Organizations that cross this threshold experience a profound shift. Copilot is no longer an experimental tool, but a daily companion in decision‑making.

Teams trust the information because they know it’s protected. Users understand when and how to use AI. Leadership sees results because there are clear metrics.

At that point, the question stops being:

“Is Copilot worth it?”

At Suri, we believe that real transformation starts at home.

That's why our first step toward an artificial intelligence culture was to create EVA, our first internal agent.

EVA was born in the Human Resources department to improve our team's experience, automate processes, and create a more human, agile, and close interaction.

We decided to experiment with our own internal tools and processes before offering solutions to the outside world. And that decision changed everything.

Thanks to this learning experience, we now have an ecosystem of 15 artificial intelligence agents, which emerged organically when we detected areas of opportunity within our own teams.