Head-to-Head

Cylera vs Ordr

Last VerifiedJuly 22, 2026
Verdict

The two vendors this index grades A on AI centrality, and the most interesting pairing in the lane because both earned it on real mechanism rather than marketing. Cylera's is the Digital Twin: emulate each device from network traffic and probe the replica out of band, so vulnerability testing never touches live equipment, which also earns it A on model transparency and the safest deployment posture. Ordr's is behavioural fingerprinting on a stated 100 million plus devices that generates segmentation policy from learned behaviour, paired with the best autonomy design in the category, simulating enforcement and showing the blast radius before any rule changes with a human gate. The tiebreakers are evidence and enforcement: Ordr carries a KLAS score of 89.4 where Cylera has none, and its autonomy model is more fully specified. If your failure mode is rigorous vulnerability detection that never touches a live device, start with Cylera, and ask it to show twin fidelity. If your failure mode is turning visibility into safely enforced segmentation, start with Ordr.

Select Cylera if
  • The most rigorous non invasive testing in the category: the patented Digital Twin emulates each device from network traffic and probes the replica out of band, so vulnerability testing never touches equipment attached to a patient, graded A on model transparency where Ordr grades B.
  • The safest deployment posture in the lane, graded A, since rigorous probing happens against the emulation out of band and no scanning traffic ever reaches live equipment, matching Ordr's own A on deployment from a different mechanism.
  • Purpose built for hospitals with device utilisation analytics that also serve biomedical engineering and capital planning, where the AbedGraham integration frames risk in clinical service impact rather than technical severity alone.
Select Ordr if
  • An independent rating where Cylera has none: a reported 89.4 in the KLAS 2026 Healthcare IoT Security report, graded B on clinical evidence against Cylera's C, which had no comparable score located.
  • The best autonomy design in the category: policies are simulated and the blast radius shown before enforcement with a human approval gate, where Cylera enforces through Cisco integration but states no explicit approval boundary, holding it at B on autonomy.
  • Broader integration and reach: graded A on interoperability across NAC, SIEM, and CMDB with CMDB enrichment, and cross industry coverage graded A on setting, where Cylera is healthcare only and names Cisco as its principal integration, held at B on both.
Attribute Matrix

Side-by-Side

Axis
C
Cylera
O
Ordr
AI Centrality
Autonomy and Oversight Model
Model and Technology Transparency
Clinical and Operational Evidence
AI Safety and PHI Stewardship
HIPAA and BAA Posture
Security Certifications and Trust Center
FDA and Regulatory Status
AI Governance and Bias Disclosure
EHR and Interoperability Depth
Deployment Model and Data Residency
Commercial Transparency
Setting and Specialty Coverage
Disclosure

This is the pairing of the two AI centrality A vendors in the lane, and the split is mechanism against evidence and enforcement. Cylera earns A on model transparency for the Digital Twin, a specific patented mechanism, and the safest deployment posture; Ordr earns A on autonomy for documented enforcement simulation and a human gate, and it carries an independent KLAS score of 89.4 where no benchmark was located for Cylera, holding Cylera at C on evidence. The technical question to press Cylera on is twin fidelity, since findings only transfer if the replica matches the device. A source caution on Ordr: it publishes its own comparative rankings, so favourable comparative material from the vendor is self interested and this index uses it only for Ordr's own product claims. Both are cloud based, both passive and agentless, and neither publishes a security attestation or pricing.

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Index Status
Last index update
July 22, 2026
The AI Health Index is an editorial reference, not a regulatory body. Vendor data is verified against published sources and public regulatory filings. Figures labeled “Estimated” have not been confirmed by the vendor. See the Methodology page for evaluation standards and limitations.
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