TLS 1.3 (Transport Layer Security)
TLS 1.3 is the latest version of the Transport Layer Security protocol, which encrypts data in transit between a browser or app and a server so it cannot be read or tampered with on the network. In healthcare AI it is the baseline expectation for protecting patient data while it moves between systems.
Put the evidence in context
Review the intended task, source information, human checkpoints and observed results together. A benchmark or sandbox result has a defined scope; it does not establish suitability, approval or performance for every institution.
Read the full explanationCare Workspace connects healthcare work such as appointments, reviewed reporting and follow-up. Micromeet Cowork supports team work with digital employees and reusable Skills, including meeting summaries, decisions and task handoffs.
Read the full explanationTLS 1.3 (standardized as RFC 8446 in 2018) matters because it removes the older cipher suites and handshake shortcuts that weakened earlier versions, shortens the connection handshake, and makes forward secrecy the default — so a key compromised later cannot decrypt traffic recorded earlier. When a hospital IT team evaluates an AI vendor, "TLS 1.3 in transit, encryption at rest" is the baseline answer to expect.
Encryption in transit is only half the picture — sensitive data also needs encryption at rest. Micromeet's approach is TLS 1.3 in transit (where supported) plus encryption at rest, with the full security model — residency, access control, audit — documented in the published security whitepaper. Encryption is necessary but not sufficient: for healthcare AI, governance and a doctor-review gate are what make the AI itself safe.