Forum Widgets
Latest Discussions
Exposure-Driven Security in the Modern Enterprise
The idea is simple — but powerful: It’s not just about detecting threats. It’s about identifying and prioritizing the exposures that make those threats possible. Attack path analysis, identity risk correlation, misconfiguration visibility, privilege exposure… all connected in a single risk context. So I’d like to ask the community: How are you currently measuring exposure in your environment? – Are you mapping attack paths across identities, endpoints, and cloud workloads? – Are privileged identities part of your exposure prioritization model? – Are remediation efforts aligned with actual exploitability or just severity level? In your view, what is the biggest challenge when moving from reactive detection to proactive exposure reduction? Curious to hear how others are integrating Exposure Management into their Zero Trust architecture.
Remediation Workflow Automation — Biggest Gap vs. Competing Exposure Management Platforms?
Exposure graph and attack path correlation in MSEM are genuinely strong — the cross-domain visibility (endpoints, identities, cloud, external surface) is one of the better implementations I've worked with, especially for shops already standardized on the Microsoft stack. The gap I keep running into is closed-loop remediation orchestration. Right now, when an attack path or critical exposure is identified, there's no native way to auto-generate a ticket, assign ownership, and track an SLA against it — that handoff still has to be built externally (Logic Apps, Sentinel playbooks, or a 3rd-party ITSM integration). This isn't just my experience; it's echoed in published Gartner Peer Insights reviews of the product, where users specifically flag the absence of in-platform workflows to raise tickets automatically and route them to the owning team. For comparison, Qualys built this natively into their Enterprise TruRisk Platform (QFlow) — automatic ticket creation in ServiceNow/Jira, ownership assignment, and SLA tracking, all without manual handoffs. Tenable One markets "workflow automation" as a core differentiator of its unified platform for the same reason: it's what turns continuous detection into continuous risk reduction, not just a better dashboard. Questions for the team / community: Is closed-loop ticketing/SLA tracking on the roadmap natively, or is the expectation that this stays external (Logic Apps/Sentinel)? For those running MSEM at scale — how are you currently bridging this gap operationally? Custom playbooks, or a 3rd-party orchestration layer on top?
