At this year's Gartner Security and Risk Management Summit in Sydney, Rapid7 CISO Brian Castagna joined industry CISO Nigel Hedges for a fireside chat on the decisions security leaders are actually making right now. They discussed the real decisions being made right now about budgets, burnout, AI, and perspective on consolidation. The conversation reinforced what we see across many organizations: SecOps is very much focused on protecting business resilience, enabling confident decisions by senior security leaders, and building programs that scale across people, platforms, and emerging technology. Let's now take a look at some of the main highlights from this year's Summit. The business case for SecOps has shifted and boards are listening The ‘ invest in security or get breached’ pitch has run its course. Boards have heard it too many times; plus, it frames security as a cost center that only proves its value when something goes wrong. We’re seeing it being replaced by a resilience narrative. In most incidents, the biggest business impact is operational disruption. Hours or days of downtime create immediate revenue loss, reputational damage, and perhaps worse still for some, regulatory exposure. CISOs who can connect their programs to that reality – translating incident data into business availability and financial risk – find it significantly easier to justify spend and shape investment decisions. That shift in dynamic changes what gets measured and prioritized as well as how security leaders communicate upward to the board. Threat intelligence and kill chains still matter inside the SOC, but the ability to translate that to a clear risk narrative is fast becoming a leadership requirement in its own right. Platform consolidation is growing, but it's not binary The platform-vs-best-of-breed debate was notably pragmatic. The real question is how to strike the right balance: Consolidate where it improves efficiency and visibility, retain point solutions where they materially reduce a specific risk. On the ground, budget pressure has accelerated this. Fewer vendors, more integrated telemetry, and clearer operational ownership help make spend more defensible. The discussion framed consolidation through the lens of ‘ control planes’ (endpoint, gateway, network), with shared telemetry as the connective layer. A real-world example grounded the conversation: Build a global security program for a 5,000-person organization across 40 countries on a $3 million budget, using a selective mix of MDR, PAM, EPM, and targeted point solutions only where necessary. Throughout, the operating principle was simple in that every security investment needs to answer one question: What risk does this reduce, and importantly, what business outcome does it protect? People remain the most difficult element of SecOps Technology and process can be engineered, but people? They’re much harder. That was one of the most practical observations from the session, and it resonated with every security leader in the room. The challenge goes beyond hiring technical talent to ensure organizations are building teams with the right mix of communication skills, cognitive diversity, motivation, and endurance. A common gap seen in the SOC is that many teams are strong technically but few can articulate risk effectively to executives. That matters because the value of SecOps increasingly depends on how well teams connect activity to impact. At the same time, burnout remains a structural issue. When experienced analysts leave, institutional knowledge leaves with them. And no tool can replace that. For leaders, this reinforces the point that people strategy is core to the overall security strategy. AI in SecOps is getting very real, and very practical After a long hype cycle, the AI conversation is now far more grounded. The most credible use cases in SecOps are about helping teams manage volume, reduce noise, and move faster with better context. The examples discussed in the session were telling: alert-assisted triage, natural-language log querying, incident summarisation, first-draft executive communications, and eventually more automated investigation workflows. The framing that landed best was AI as a ‘ sidearm partner’ ; a force multiplier for experienced practitioners, rather than a substitute for judgment. That distinction matters as human judgment is essential. But AI is becoming increasingly valuable for understaffed teams trying to scale operations and preserve the institutional knowledge that walks out the door when analysts move on. Governing agentic AI begins with foundations you should already have As the discussion turned to agentic AI, the focus centred on how more autonomous AI systems do introduce new governance questions, but many of the relevant controls already exist within mature security programs. Segmentation, least privilege, access management, and strong architectural boundaries remain the core defenses. One analogy stuck: Just as graphite rods slow a nuclear chain reaction, controls like network segmentation and access boundaries can contain and constrain agentic behavior. The organizations best positioned for AI governance are often the ones that have already invested in zero trust principles and sound identity controls. That reframes the conversation. AI governance isn’t a separate discipline, it’s the extension of existing security foundations into how AI systems behave, access data, and operate within defined boundaries. What this means for the road ahead If there was a unifying message, it was that the modern SecOps mandate is bigger than prevention. The industry has, to some extent, over-rotated on stopping threats and under-invested in resilience. Security leaders require programs that communicate risk in business terms, make smart technology trade-offs, support their people, and adopt AI in ways that are practical and governable. The organizations that get this right will be the ones building strong foundations and using the right mix of platform, process, and intelligence to move faster and more confidently. Rapid7 is committed to being a partner to organizations looking to gain that confidence. Our exposure-informed MDR service empowers teams to adopt a more preemptive security posture by rapidly identifying high-impact exposures that could be imminent breach targets. Teams can also leverage expanded capabilities in data security posture management (DSPM) and compliance to help fortify assessment, prioritization, and response capabilities so they can further preempt attacks across the modern attack surface.