CrowdStrike + Elisity: Endpoint Intelligence and Microsegmentation Integration

CrowdStrike Falcon is strong on managed IT endpoints. The Falcon sensor cannot install on an infusion pump, an MRI console, a building automation controller, a surgical robot, or a programmable logic controller on a plant floor. In healthcare and manufacturing, those unmanaged devices are not a rounding error. They are a large share of everything connected. When an attacker lands on a managed laptop, Falcon detects the intrusion and contains that host. What no endpoint agent can do is stop the pivot into the flat network space where the unmanaged devices sit. Traditional segmentation does not close the gap either, because VLANs and access control lists are written against IP ranges rather than against what a device actually is or how CrowdStrike currently rates it. You end up with a detection layer that knows a device is compromised and a network layer with no way to act on it. That is the opening ransomware operators look for.

Elisity turns CrowdStrike endpoint state into an enforceable network policy attribute. Every asset Elisity discovers is checked against the CrowdStrike API, and Elisity IdentityGraph™ records a Known in CrowdStrike attribute, set to Yes when an active Falcon agent is calling home. That attribute becomes Policy Group match criteria. Managed endpoints with a healthy sensor earn the access their role requires. Anything unmanaged lands in a least-privilege group by default, reachable only by the peers and services it legitimately needs. Enforcement runs through the network infrastructure you already own, east-west as well as north-south, with no agent on the protected device, no new appliance in the traffic path, and no re-IP. So when Falcon flags a managed host, the routes out of that host into the unmanaged fleet were already closed. See how Elisity helps teams block lateral movement across mixed IT, OT, and IoMT estates.

The team writing segmentation policy rarely sees what the endpoint team sees. They have an IP address, a VLAN assignment, and possibly a DHCP hostname. They do not know whether the machine carries a Falcon sensor, whether that sensor is still reporting, what operating system build it runs, or how CrowdStrike currently scores its posture. Without that context, policy gets written one of two ways. Either access stays permissive enough that nothing breaks, which leaves the east-west paths an attacker wants wide open, or access is locked down on assumption and clinicians, engineers, and production lines start filing tickets. Both outcomes are expensive. Worse, whichever choice you make is frozen in place: an IP-based rule has no way to notice that a host stopped reporting to CrowdStrike three weeks ago, or that its posture score fell off a cliff yesterday.

Elisity IdentityGraph™ imports the CrowdStrike attributes that matter for policy: hostname, os_version, product_type_desc, system_manufacturer, and system_product_name, along with the CrowdStrike Zero Trust Assessment score for each managed asset. Elisity bands that score into risk levels you can write policy against: below 40 is Critical, 40 to 59 is High, 60 to 79 is Medium, and 80 to 100 is Low. Those bands become Policy Group match criteria alongside device type, manufacturer, model, user identity, and location. A workstation whose posture degrades moves into a stricter Policy Group at the next enrichment cycle, and its access narrows without anyone editing a rule. Policy now reflects what a device is and how it is behaving rather than the subnet it happened to be plugged into. That is the difference between identity-based microsegmentation and address-based segmentation.

Most enterprises operate endpoint protection and network segmentation as two programs with two consoles, two data models, and two owners who meet during incidents. Neither system publishes its context to the other. So during a live investigation, someone exports a device list from one platform, someone else pulls the network inventory, and the correlation happens in a spreadsheet while the clock runs. By the time the two views reconcile, the asset data is already stale, because devices moved, sensors were reinstalled, and new hardware appeared. The same fragmentation shows up at audit time, when proving that a class of devices is actually restricted requires assembling evidence by hand from systems that were never designed to agree. None of this is a tooling failure. It is the predictable cost of asking two platforms that cannot see each other to enforce one security outcome.

You connect CrowdStrike to Elisity by entering API credentials in the Elisity Cloud Control Center, and the enrichment runs on a repeating cycle: authenticate to the CrowdStrike API, retrieve current agent status and device records, transform that data into the Elisity model, and update IdentityGraph™. The cycle starts at 24 hours, so assets are continuously re-verified rather than inventoried once and trusted forever. Because the CrowdStrike-derived attributes, the Policy Groups, and the enforced policies all live in the same console, a responder can see exactly why a device matched a group and what it is permitted to reach, and an auditor can be shown the same view. Teams reach enforced policy in weeks rather than the months a VLAN redesign consumes, because the network infrastructure you already own does the enforcing and nothing new goes into the traffic path.