We live in an age where cyberattacks are no longer isolated incidents, but have become increasingly sophisticated, many of them originating and powered by Artificial Intelligence. Their effect is immediate: attacks are faster, more credible, and more difficult to detect and prevent. However, even in the face of this reality, many organizations continue to rely on SOC/MDR services that function as veritable “black boxes,” where their customers know little or nothing about the service being provided to them, having visibility only on alerts when a particular attack may already be underway, and subsequently on the respective monthly reports when they are presented.
This is a critical issue. A SOC/MDR service should not only detect and respond to security incidents. It should also provide customers with clear, real-time visibility into the work being done, translating complex technical data into objective information that enables risk assessment and enhances decision-making processes. Trust only exists when there is transparency, and the absence of clear metrics makes investment in this type of service difficult to justify.
This is precisely where Redshift’s approach, through its RED.Box platform, stands out. Unlike an opaque model, the RED.Box platform is designed to shed light on the entire process, providing intuitive dashboards that allow real-time monitoring not only of security alerts and incidents as they are detected, but also of the performance of the SOC/MDR service itself. Customers no longer have to rely on monthly reports that sometimes arrive late, but now have immediate access to indicators such as average detection, confirmation, and response times, the most common attack vectors, the evolution of risk posture, as well as how alerts and cases are being handled by operational teams during the different phases of an incident.
For technical teams, this detailed information allows them to monitor the effectiveness of the operation, correlate events, and detect patterns that would otherwise go unnoticed. For executives, the RED.Box platform translates these indicators into business impact: how many critical threats were blocked, how much downtime was avoided, and what the actual return on investment in the service was.
This bridge between the technical and strategic worlds is, in my view, the real differentiator that the market has been demanding for years and that Redshift has managed to materialize with this platform.
In this context, it is equally important to emphasize the role of forensic activities. Digital forensic investigation allows us to understand not only that a particular incident occurred, but also how it happened, its origin, and the extent to which certain systems and data were effectively compromised. It is this in-depth analysis that provides the right answers to strengthen defense mechanisms, support legal or regulatory processes, and draw practical lessons from each attack. In this context, the RED.Box platform allows for the centralization and consolidation of all evidence collected, the correlation of indicators with the entire knowledge base of previous alerts and incidents present on the platform, and the provision of a clear, sustained, and transparent view of the entire incident lifecycle to customers—from the detection phase to its eradication.
The use of Artificial Intelligence in RED.Box not only serves to speed up the process of analyzing and responding to incidents, but also to automate containment flows and make information more relevant and contextualized to the reality of customers. In a scenario where attackers are already exploiting AI to increase their effectiveness, it is imperative that those responsible for the lines of defense use the same weapons, but with an additional focus: transparency. Showing the value being delivered in real time is now as important as the response capability itself.
While many SOC/MDR services continue to be evaluated subjectively, based solely on the promise of “continuous monitoring,” Redshift, with its RED.Box platform, offers an objective and measurable model. This is not an invisible service, but a clear operation, accompanied by technical and executive indicators that place customers at the center of the process and allow them to understand, at every moment, how they are being protected.
This is the inevitable future of cybersecurity: AI-assisted and enriched services that support and empower operational teams in the processes of prevention, detection, response, and mitigation in the face of different emerging threats. Service providers that continue to operate as a black box, without visibility and transparency, risk losing relevance in an increasingly demanding market.
Ultimately, what truly differentiates a cybersecurity service is not only its ability to detect and respond, but how it can demonstrate its value transparently. And in this field, the RED.Box platform shows that the future is already here.