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Value no longer comes from the availability of information, but from the ability to interpret it and to do so at the speed at which threats are moving today.

For years, the world of cybersecurity has been driven by the goal of achieving an increasingly comprehensive understanding of digital environments. Organizations have invested in platforms, dashboards, and tools capable of providing a level of visibility never achieved before. Yet, despite this wealth of information, many organizations still struggle to make rapid and effective decisions.

Assets, vulnerabilities, threat intelligence, detection capabilities, and response processes often exist in separate environments, creating a fragmented view of security. Today, the same technology enables attackers to identify and exploit vulnerabilities in increasingly shorter timeframes. The window between discovery and exploitation is collapsing, which is why we define it as the Zero-Window.

This is where the real transformation brought by AI to cyber defense takes place: the challenge is no longer just how much we can see, but how quickly we can understand what is happening.

Beyond Events, Toward Relationships

Many platforms already integrate increasingly advanced AI capabilities. This is a fundamental evolution: every technology becomes more effective within its own domain. However, risk does not stop at the boundaries of a single platform.

For this reason, at Sorint.SEC, we believe that AI's most significant contribution lies not in automating individual tasks, but in its ability to gather and correlate data from different contexts.

This evolution is transforming cybersecurity from an event-oriented discipline into a relationship-oriented one, guiding the industry toward a new paradigm based on convergence. After all, even an anomalous access attempt may appear irrelevant until it is correlated with other signals and the context of the affected asset.

Turning this capability into a sustainable operating model is, however, a far more complex challenge. Building an AI-driven cybersecurity model internally requires ongoing investments in skills, governance, infrastructure, and processes.

It is from this awareness that MySecOps was created, the operational convergence layer developed by Sorint.SEC. The platform is designed to unify technologies, services, and expertise, transforming isolated signals, events, and data into a shared understanding of what is actually happening.

This allows organizations to benefit from field-proven expertise, governance, and methodologies without having to develop them internally.

We Invested in AI. But We Didn't Start with AI.

MySecOps was not born from Artificial Intelligence, but from the experience accumulated by Sorint.SEC teams. We developed the platform in-house, embedding know-how, operational methodologies, processes, and expertise built over time. Because AI is not the strategy, but the accelerator.

To complement this model, we developed MyZero Agents, an ecosystem of specialized agents designed to collaborate with one another and integrate with existing platforms and infrastructures. From identifying emerging patterns to validating evidence, from intrusion analysis to orchestrating containment actions, each agent contributes to a coordinated view of risk and a more effective response. At the center of this ecosystem is MyAdvisor, designed to transform the information assets of MySecOps into decision support. By analyzing correlations, anomalies, and recurring patterns, it quickly identifies operational priorities.

Within our model, the difference compared to traditional approaches is both operational and measurable. MyZero Agents reduce response times by 94%, bringing them down to just a few minutes while limiting the number of false positives. The goal is not to replace people, but to enable analysts to focus on higher-value activities, from complex investigations to advanced threat hunting and response.

This approach reflects a vision of Service as a Software, a system that starts from operational experience and translates it into processes, methodologies, and decision-making capabilities embedded within the platform. It is not the software that defines the service, but the service that takes shape within the software.

Because an Agentic SOC does not simply mean having agents available. It means knowing how to orchestrate them within the same process according to a model we define as human-powered, agent-enabled, where humans retain control over decisions and risk, while the agentic component amplifies operational effectiveness.

This is the difference between collecting information and transforming it into timely decisions.

The future of cybersecurity does not belong to those who generate more data, but to those who can transform that data into decisions, actions, and tangible outcomes.

For us, this is the true promise of operational convergence.

This article was published in the online magazine SecurityOpenLab.