Healthcare cybersecurity · IoMT asset intelligence
Cylera
Cylera is a healthcare IoT and medical-device security platform for hospitals. It discovers connected devices, scores risk, and helps security and biomed teams prioritize remediations. It is not a clinical identity or SSO product.
Strong fit
- Hospitals that need an accurate list of connected medical devices before they can patch them or separate networks
- Security and biomedical engineering teams that want one shared view of device risk
- Buyers comparing device security tools built for healthcare, not general industrial tools
Weak fit
- Ambulatory groups with almost no connected medical devices
- Teams that only need clinician login or single sign-on tools
- Buyers who expect a full managed security operations center in the same product
Bottom line
Cylera is worth using for health systems that still cannot trust their inventory of medical devices on the network. It suits hospitals where biomedical and security teams will share one view of devices and risks. Buyers who mainly need clinician identity tools should look at Imprivata.
Score breakdown
Weights: Outcomes 35% · Product 30% · Implementation 20% · Pricing clarity 15%.
Cylera gives hospitals a live view of the connected and medical devices on their network. Hospitals need that view before they can separate networks or patch devices.
Buyers usually compare it with Claroty, Cynerio, and Asimily. They look at how accurate the device list is, how well it understands clinical devices, and how many alerts a small security team has to handle.
The first months work best as a shared project between biomedical engineering and security. Together they list devices, rank risks, and decide which fixes come first.
Projects stall when the console sits unused, or when one analyst owns it and never gets time to make changes to the devices that matter.
Setup is lighter than a full security program for all connected equipment. It still needs network monitoring points and rules that keep clinical devices running. Pricing is custom for mid-sized organizations.
Cylera is a weaker fit for hospitals that mainly need clinician identity tools such as Imprivata, or that have very few connected devices.
Among the cybersecurity tools we review, it scores in the same group as Asimily and Cynerio for connected device results. It sits just under Claroty, which large health systems often choose for its breadth.
Competitor landscape
| Vendor | Overall | Ease of implementation |
|---|---|---|
| Cylera | 7.4 | 7.0 |
| Ordr | 7.5 | 7.2 |
| Claroty | 7.5 | 7.1 |
| Cynerio | 7.3 | 7.0 |
| Asimily | 7.2 | 6.8 |
| MedCrypt | 7.1 | 6.9 |
Pricing
| Item | Detail |
|---|---|
| Model | A subscription priced by number of devices or beds, with packages for systems with several hospitals. |
| What usually drives cost | The number of connected devices and hospital sites, and any help connecting to the network. |
| What to ask before you buy | An estimated yearly cost for your number of devices, and what a pilot at the first site needs before you expand. |
| Published pricing | Cylera does not publish prices. Expect a custom quote, and confirm the total cost for your number of devices. |
Prerequisites for purchase
| Need | Why it matters |
|---|---|
| What you need to get Cylera to function | |
| A way to see traffic on the network segments where clinical devices sit | Without that, the device list stays incomplete. |
| Biomedical engineering and security leads who agree on what to fix first | Unclear ownership leaves risky devices untouched. |
| Times for changes that keep clinical devices running | Blocking a device during a procedure means the rollout has failed. |
| Device list goals for the first sites | Rolling out everywhere at once hides data problems. |
| A way to send findings into your ticketing or asset system | Risk scores that stay in the console do not reduce risk. |
| What will maximize your value | |
| Check the device list against biomedical engineering records | Trust collapses when pumps everyone knows about are missing from the console. |
| Put devices that could interrupt care if hacked at the top of the list | Treating every alert the same burns the team out. |
| Separate high-risk types of devices once the device list is reliable | Separating networks before the list is reliable causes outages. |
| Add building systems only once they are planned for | Taking on building systems too early delays clinical results. |
| Check again after replacing many devices | New kinds of equipment bring back blind spots. |
| Deal-breakers | |
| You mainly need single sign-on or clinician identity tools, not a device list. | |
| IT cannot copy traffic from the clinical network segments that matter. | |
| Biomedical engineering will not help decide what to fix first. | |
| Leaders expect a full managed security operations center as part of the device security license. | |
| You have almost no connected medical devices. | |
Value creation time frame
| # | Stage | Typical range |
|---|---|---|
| 1 | From signing to kickoff | 2-6 weeks for security review, network design, and choosing pilot units |
| 2 | From kickoff to first use | 6-14 weeks for a device list and risk views at the first site |
| 3 | From first use to steady results | 3-6 months of fixing risks before adding more sites |
Leadership
Methodology
| Weight | Factor | What it measures |
|---|---|---|
| 35% | Customer outcomes | Whether buyers get measurable operational or clinical-workflow results after go-live |
| 30% | Product | Capability depth, reliability, and fit for the job the category buys |
| 20% | Implementation | How hard it is to stand up, integrate, train, and stabilize |
| 15% | Pricing clarity | Whether a buyer can model total cost without a mystery quote |
| Label | Meaning |
|---|---|
| Highly recommend | Strong outcomes and product with manageable caveats |
| Recommend | Solid fit for the right buyer; know the tradeoffs |
| Conditional | Only with a specific use case or heavy caveats |
| Not recommended | Avoid for most buyers in this category |
Read our full methodology for how we weight scores and assign recommend labels.