FairPlay Streaming
E236173
FairPlay Streaming is Apple’s digital rights management (DRM) technology designed to securely deliver and protect streaming video content across its platforms.
All labels observed (1)
| Label | Occurrences |
|---|---|
| FairPlay Streaming canonical | 3 |
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
DRM system
ⓘ
digital rights management technology ⓘ |
| competesWith |
DRM
ⓘ
surface form:
Google Widevine
Windows Media DRM ⓘ
surface form:
Microsoft PlayReady
|
| component |
application server integration
ⓘ
client playback SDK ⓘ key server ⓘ license server ⓘ |
| contentType |
audio
ⓘ
video ⓘ |
| developer | Apple Inc. ⓘ |
| documentedIn |
Apple Developer Documentation
ⓘ
surface form:
Apple Developer documentation
Apple FairPlay ⓘ
surface form:
Apple FairPlay Streaming Programming Guide
|
| encryptionAlgorithm |
AES-128
ⓘ
AES-CBC ⓘ |
| feature |
HDCP enforcement
ⓘ
content key expiration controls ⓘ hardware-backed key storage on supported devices ⓘ offline playback support for rentals and purchases ⓘ output protection enforcement ⓘ secure key exchange ⓘ support for multiple content key sessions ⓘ support for persistent content keys ⓘ |
| goal |
enforce licensing terms for video playback
ⓘ
prevent unauthorized copying of streaming content ⓘ |
| operatingSystem |
iOS
ⓘ
iPadOS ⓘ macOS ⓘ tvOS ⓘ visionOS ⓘ |
| platform | Apple ecosystem ⓘ |
| relatedTo |
App Store
ⓘ
surface form:
App Store video apps
Apple TV (macOS app) ⓘ
surface form:
Apple TV app
Apple TV hardware ⓘ FairPlay ⓘ |
| requires |
Apple developer program membership for integration
ⓘ
server-side implementation by content providers ⓘ |
| securityModel |
client–server key exchange
ⓘ
encrypted media segments ⓘ |
| supports |
HLS
ⓘ
HTTP Live Streaming ⓘ |
| targetAudience |
content owners
ⓘ
video streaming service providers ⓘ |
| useCase |
electronic sell-through video
ⓘ
rental video services ⓘ streaming video protection ⓘ subscription video on demand ⓘ |
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: FairPlay Streaming Description of subject: FairPlay Streaming is Apple’s digital rights management (DRM) technology designed to securely deliver and protect streaming video content across its platforms.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.