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How do you actually define "microsegmentation" at your org · network control, or something broader?

Source Reddit BlueTeam

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This content discusses the concept and operational definitions of microsegmentation within organizations, particularly as a core enforcement mechanism in Zero Trust security strategies. It highlights two primary models: topology-defined segmentation (based on network controls like zones and routes) and connection-defined segmentation (based on identity, posture, and session authorization). The guidance emphasizes layering these models to enhance security across IT, OT, IoT, cloud-native, hybrid, edge, and agentic AI environments. It also addresses governance, policy management, and operational challenges in implementing microsegmentation. The discussion is based on the Cloud Security Alliance's Zero Trust Microsegmentation Guidance published in 2026. This is an informational and strategic resource rather than a specific vulnerability or exploit.

r/AskNetsec (opens in a new tab)u/PhilipLGriffiths880 points0 comments

Genuinely curious how people here draw the line. In a lot of orgs (and Reddit chats) I've seen, "microsegmentation" still just means east-west firewalling inside the data center - VLANs, security groups, maybe a host-based firewall layer. In others it's expanded to include identity, posture, and per-session authorisation for services, OT, IoT, and now agentic AI workloads.

Where does your environment sit on that spectrum? And practically - are you doing this mostly through network topology controls (zones/routes/security groups), or through connection-level controls (identity/posture/entitlement gating a session before it's established), or both?

Asking partly because I recently helped put together CSA's Zero Trust Microsegmentation Guidance (disclosure: I led that workstream), which tries to separate these two models explicitly -topology-defined (where traffic can flow) vs. connection-defined (who/what can open a session, under what conditions) - and argues mature setups layer both. It also gets into the operational side: using visibility to find real dependencies, turning those into policy, testing via simulation/canaries, enforcing, then continuously catching drift and retiring stale exceptions.

Not trying to sell anything - mainly want to know if that two-model split matches how people actually operate, or if the reality on the ground is messier than that.

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