SCA
E356953
SCA is a software composition analysis solution that identifies and manages vulnerabilities and license risks in open-source components used within applications.
All labels observed (1)
| Label | Occurrences |
|---|---|
| SCA canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3429914 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SCA Context triple: [Checkmarx, offersProduct, SCA]
-
A.
SCA
SCA is a U.S. federal law that governs the privacy and disclosure of stored electronic communications and related data held by service providers.
-
B.
SCA
SCA is the National Rail station code for Scarborough railway station in North Yorkshire, England.
-
C.
SCAR
SCAR is an international scientific body that coordinates and promotes research in and about Antarctica and the Southern Ocean.
-
D.
SCMA
SCMA is the Smith College Museum of Art, a prominent academic art museum known for its diverse collections and educational programs in Northampton, Massachusetts.
-
E.
SCS
SCS is Carnegie Mellon University's renowned School of Computer Science, recognized globally for pioneering research and education in computing and related fields.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SCA Target entity description: SCA is a software composition analysis solution that identifies and manages vulnerabilities and license risks in open-source components used within applications.
-
A.
SCA
SCA is the National Rail station code for Scarborough railway station in North Yorkshire, England.
-
B.
SCA
SCA is a U.S. federal law that governs the privacy and disclosure of stored electronic communications and related data held by service providers.
-
C.
SCAR
SCAR is an international scientific body that coordinates and promotes research in and about Antarctica and the Southern Ocean.
-
D.
SCMA
SCMA is the Smith College Museum of Art, a prominent academic art museum known for its diverse collections and educational programs in Northampton, Massachusetts.
-
E.
SCS
SCS is Carnegie Mellon University's renowned School of Computer Science, recognized globally for pioneering research and education in computing and related fields.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
application security tool
ⓘ
software composition analysis solution ⓘ software security technology ⓘ |
| aimsTo |
improve license compliance
ⓘ
increase visibility into software components ⓘ reduce open-source security risk ⓘ |
| analyzes |
application dependencies
ⓘ
open-source libraries ⓘ package manifests ⓘ software bill of materials ⓘ |
| appliesTo |
backend services
ⓘ
mobile applications ⓘ web applications ⓘ |
| detects |
known security vulnerabilities
ⓘ
license policy violations ⓘ outdated open-source components ⓘ |
| focusesOn |
open-source components
ⓘ
third-party software components ⓘ |
| hasFullForm | Software Composition Analysis ⓘ |
| helps |
development teams manage open-source usage
ⓘ
legal teams enforce license policies ⓘ security teams monitor component risk ⓘ |
| integratesWith |
CI/CD tools
ⓘ
issue tracking systems ⓘ source code repositories ⓘ |
| provides |
component inventory
ⓘ
license information ⓘ risk scores ⓘ vulnerability reports ⓘ |
| relatedTo |
dynamic application security testing
ⓘ
software bill of materials generation ⓘ static application security testing ⓘ |
| reliesOn |
open-source license catalogs
ⓘ
vulnerability databases ⓘ |
| supports |
automated dependency analysis
ⓘ
continuous security scanning ⓘ license compliance management ⓘ vulnerability remediation workflows ⓘ |
| targets |
open-source dependency chains
ⓘ
transitive dependencies ⓘ |
| usedFor |
identifying license risks in open-source components
ⓘ
identifying vulnerabilities in open-source components ⓘ managing license risks in open-source components ⓘ managing vulnerabilities in open-source components ⓘ open-source risk management ⓘ software supply chain security ⓘ |
| usedIn |
DevSecOps pipelines
ⓘ
application security programs ⓘ software development lifecycle ⓘ |
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: SCA Description of subject: SCA is a software composition analysis solution that identifies and manages vulnerabilities and license risks in open-source components used within applications.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.