Security teams are dealing with a different kind of pressure now. It is not just the volume of alerts or the pace of attacks, but also the gap between what teams can see and what they can act on with confidence. That gap shows up in different ways. Threats move across identity and cloud in ways that are difficult to track, exposure data exists but often sits disconnected from response, and AI is being introduced into workflows without a clear role in decision-making. This year’s Rapid7 Global Cybersecurity Summit brings those threads together as part of the same operational solution. 1. You need a clearer view of how attacks actually unfold A lot of detection strategies still assume attacks follow a clean path. In practice, they do not. They start in one place, move quickly, and often rely on small gaps rather than obvious failures. Sessions like The Reality of Running a SOC in 2026 break this down in detail, looking at how attacks begin with things like identity misuse or cloud misconfiguration, then evolve as defenders try to keep up. That matters because it changes how detection should be designed. Coverage alone is not enough if teams do not have the context created by strong exposure management to interpret what they are seeing. That same idea carries into Inside the Modern SOC , where a real investigation is followed from first alert to outcome. It is a useful reminder that detection is only part of the problem.Deciding how to respond, and doing it quickly, is the critical next step. 2. Exposure only matters if it connects to action Most teams already have some form of exposure management in place. The challenge is making it useful. A long list of vulnerabilities does not help much if it is not tied to how risk actually shows up in the environment. Sessions like Beyond the Vulnerability List and From Cloud Exposure to Runtime Attack focus on that connection. They look at how exposures turn into active threats, often before any alert is triggered, and how teams can use that information to prioritize earlier. Here’s the part people miss. Exposure is not just about knowing what is wrong. It is about understanding what matters now, based on how the environment is being used and how attackers are likely to move through it. 3. AI is only useful if it improves decisions AI is already part of most security conversations, but the reality is nuanced. In some cases it helps reduce noise and speed up investigations. In others, it creates new questions around trust and transparency. The AI Dilemma: Automating Defense Without Surrendering Judgment tackles this directly. It looks at where AI is helping in real SOC workflows, where it can get in the way, and why explainability matters if teams are going to rely on it. The discussion is grounded in how analysts actually work, not just what the technology promises. There is also a broader point here. Attackers are using AI as well, which means the balance between speed and accuracy is becoming more important on both sides. Join the conversation Across these sessions, the common doesn’t stem from any single technology. It is how teams connect signals, context, and decisions in a way that holds up under pressure, which shows up in how threats are understood, how exposure is prioritized, and how AI is applied. It is also why the summit is structured the way it is, moving from shared context on day one into more focused, role-based sessions on day two. More sessions and speakers will be added in the coming weeks, but the direction is already clear. Security operations are shifting toward earlier decisions, better prioritization, and fewer assumptions. If your work touches AI, threat detection, or exposure management, this is where those conversations start to come together. Join us May 12–13 and see how teams are approaching it in practice. Register now .