Eliminating Organizational Security Silos With AI-Driven Open XDR

Stellar Cyber is a security operations platform that functions as an Open Extended Detection and Response (Open XDR) system, unifying cybersecurity tools and AI to help companies quickly detect and stop cyberattacks across their entire network.

Q: How would you define Stellar Cyber's strategic positioning in the regional cybersecurity ecosystem?

A: Over the past six years, we have established a robust presence across almost every country in Latin America, achieving a 160% growth in the region last year alone. Our strategic positioning stems from an 11-year legacy as a platform natively built on AI to unify functionalities that were traditionally isolated, such as security information and event management (SIEM), network detection and response (NDR), and security orchestration, automation, and response (SOAR). We did not adopt this approach to follow recent market trends; we have been perfecting our autonomous security operations for over a decade, which has earned us recognition as the second most utilized platform by the top 250 managed security service providers (MSSPs) globally.

Q: What is your main competitive advantage over other cybersecurity providers in the market?

A: Our primary competitive advantage lies in our operational agility and our foundational architecture. Unlike older competitors who are retrofitting AI features onto outdated systems, we were born as a unified platform with a single AI engine designed to process data without silos. This structure allows us to provide a highly flexible, open ecosystem that integrates seamlessly with any existing technological infrastructure, which is essential for adapting to the distinct financial, regulatory, and technical complexities inherent to the Latin American market.

Q: What key decisions are being made to adapt the value proposition to a Latin American market that continues to deal with heterogeneous infrastructures?

A: To address the distinct challenges in highly complex markets like Brazil and Argentina, we prioritize flexibility by developing customized commercial structures that do not force clients to entirely replace their legacy systems. For example, we designed a master MSSP framework in Brazil where a primary distributor acquires a large license and divides it into more accessible portions for local providers. This strategy successfully leverages economies of scale while significantly lowering the barrier to entry, allowing us to secure key projects and expand our footprint across diverse technological environments.

Q: What are the main cybersecurity adoption barriers you have identified in the Latin American market?

A: The most significant barrier is a deep-rooted cultural resistance to change, where organizations often prefer the perceived safety of legacy brands instead of adopting disruptive, highly effective technologies. Many companies operate under the false illusion of security simply because they own a traditional SIEM or operate a security operations center (SOC), leading them to request that we merely add AI to their outdated setups. Overcoming this requires clients to unlearn traditional security concepts; they must realize that combating modern, AI-powered threat actors with static rules is impossible and that they must transition toward dynamic, fully integrated platforms.

Q: What are the main benefits companies gain from using Stellar Cyber’s Open XDR platform?

A: Open XDR is a comprehensive security ecosystem that ingests, correlates, and analyzes data from any existing control tool, such as firewalls or endpoint detection and response (EDR) solutions. Beyond aggregating logs, we deploy our own NDR sensors to capture raw network traffic directly, ensuring we maintain unfiltered visibility regardless of the client's infrastructure. By remaining completely agnostic and capable of building parsers for any cybersecurity technology on the market, our platform utilizes AI to establish behavioral baselines and detect everything from simple denial-of-service attempts to highly complex anomalies.

Q: How does Open XDR reconcile data from any existing tool break with the traditional model of technological silos?

A: The traditional cybersecurity approach forces organizations to manage separate tools for network, endpoint, and orchestration, with each running its own isolated AI model and creating fragmented communication. This siloed structure generates dangerous blind spots that prevent security teams from seeing the complete picture, especially when trying to identify sophisticated "unknown unknown" threats that do not trigger standard alerts. By consolidating data into a single platform driven by a unified AI engine, we eliminate these disjointed communications and enable a holistic analysis of the entire digital environment.

Breaking these silos allows our platform to leverage graph machine learning to correlate isolated anomalies across different systems and automatically perform threat triage. Because our single AI engine evaluates the full context of an attack rather than relying on fragmented data points, we deliver a 99.7% true positive rate validated by human analysts. This visibility drastically reduces alert fatigue, empowering professionals to focus exclusively on critical threats rather than wasting resources investigating false alarms generated by disconnected tools.

Q: How has this platform impacted the actual productivity of security analysts within organizations?

A: Our platform fundamentally transforms productivity by automating the initial triage process, enabling what we refer to as a human-augmented autonomous SOC. For example, a client in the United States fully automated their level-one analyst tasks, allowing them to promote their entire security team to higher tiers and reallocate their top experts to high-value proactive activities like red teaming and complex incident response, enabling organizations to handle massive operational growth without the need to constantly increase their headcount.

Q: What key performance indicators (KPIs) or metrics best measure the true effectiveness and productivity of a modern SOC?

A: Security leaders must pivot away from reporting on dense technical specifications and instead focus on business-centric outcomes that clearly demonstrate risk reduction. When working with large entities like the Court of Justice of Minas Gerais in Brazil, we successfully shifted their procurement requirements to prioritize three critical metrics: a false positive rate below 5%, mean time to detect (MTTD), and mean time to respond (MTTR). By prioritizing these indicators, security teams can assure the board that threats are being neutralized rapidly and efficiently.

Q: AI is redefining both the threat landscape and defense capabilities. How is it changing board expectations regarding what cybersecurity teams must deliver?

A: Because threat actors are aggressively weaponizing AI to launch rapid, highly sophisticated attacks, boards now expect defense mechanisms that operate in fractions of a second rather than minutes. We are moving toward a landscape where security architectures must be nearly autonomous, focusing on continuous real-time risk management and immediate post-mortem feedback loops to refine defenses. Consequently, boards expect CISOs to evolve from being technical experts on specific tools into strategic risk managers who design resilient architectures capable of instantly isolating compromised assets while maintaining core business operations.

Q: If board expectations are changing, what new capabilities or profiles must cybersecurity teams develop to respond to these demands?

A: The most profound shift is that entry-level cybersecurity roles are disappearing, as AI now automates the basic analytical tasks that novices traditionally performed. To develop new talent in this environment, professionals must cultivate advanced, pragmatic skills in offline simulation environments, essentially acting as both attackers and defenders within AI-driven sandboxes. Future cybersecurity teams will require profiles that possess a deep understanding of how various AI models operate, emphasizing a broad, strategic vision of system integrations over narrow operational knowledge.

Q: Looking toward the end of 2026, what other regional markets do you consider strategically important, and what initiatives are you taking to capitalize on these opportunities?

A: While Mexico and Brazil will remain our foundational anchor markets, we are prioritizing countries driving strong legislative advancements, such as El Salvador, Peru, and particularly Chile. In these emerging markets, new regulatory frameworks are fundamentally shifting accountability directly to the CEO, transforming cybersecurity from a mere compliance checkbox into a critical corporate mandate. 

To capitalize on this, we are launching initiatives alongside our partners to directly educate corporate executives on these legislative requirements, ensuring they understand that robust cybersecurity is essential to guaranteeing continuous business operations and mitigating severe legal repercussions