UTA (Using TLS in Applications)
E700357
UTA (Using TLS in Applications) is an IETF working group focused on defining best practices and standards for the secure use of Transport Layer Security (TLS) in application protocols.
All labels observed (2)
| Label | Occurrences |
|---|---|
| UTA (Using TLS in Applications) canonical | 1 |
| Using TLS in Applications | 1 |
Statements (32)
| Predicate | Object |
|---|---|
| instanceOf | IETF working group ⓘ |
| abbreviation | UTA NERFINISHED ⓘ |
| areaOfFocus |
best practices for TLS in application protocols
ⓘ
secure use of Transport Layer Security in applications ⓘ standardization of TLS usage in application protocols ⓘ |
| community | open IETF participants ⓘ |
| coordinatesWith | other IETF security-related working groups ⓘ |
| fullName | Using TLS in Applications ⓘ |
| goal |
define best current practices for TLS configuration
ⓘ
improve security of application protocols using TLS ⓘ promote interoperability of secure TLS deployments ⓘ |
| hasWorkingGroupType | standards development working group ⓘ |
| meetsAt | IETF meetings NERFINISHED ⓘ |
| parentOrganization |
IETF
NERFINISHED
ⓘ
Internet Engineering Task Force NERFINISHED ⓘ |
| produces |
Best Current Practice documents
ⓘ
IETF RFCs NERFINISHED ⓘ standards-track documents ⓘ |
| relatedTo |
IETF Security Area
NERFINISHED
ⓘ
TLS protocol ⓘ application-layer security ⓘ |
| scope | application protocols using TLS ⓘ |
| standardizes |
best practices for TLS in HTTP and other application protocols
ⓘ
best practices for TLS in email protocols ⓘ |
| topic |
TLS configuration guidelines
ⓘ
TLS policy discovery and signaling ⓘ TLS version and ciphersuite recommendations ⓘ certificate validation in applications ⓘ opportunistic security for application protocols ⓘ use of TLS in application-layer protocols ⓘ |
| usesProtocol |
TLS
NERFINISHED
ⓘ
Transport Layer Security NERFINISHED ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: UTA (Using TLS in Applications) Description of subject: UTA (Using TLS in Applications) is an IETF working group focused on defining best practices and standards for the secure use of Transport Layer Security (TLS) in application protocols.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Using TLS in Applications