trusted computing
E653451
Trusted computing is a security approach in which hardware and software are designed to work together to enforce strict integrity, confidentiality, and attestation guarantees for computing platforms.
All labels observed (1)
| Label | Occurrences |
|---|---|
| trusted computing canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T7279025 — 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: trusted computing Context triple: [Intel Trusted Execution Technology, securityDomain, trusted computing]
-
A.
Trusted Execution Environment
A Trusted Execution Environment (TEE) is a secure area of a main processor that runs isolated code and protects sensitive data from the rest of the system, even if the operating system is compromised.
-
B.
TrustZone security extension
TrustZone security extension is ARM's hardware-based security technology that creates isolated execution environments to protect sensitive code and data on system-on-chip devices.
-
C.
Intel Trusted Execution Technology
Intel Trusted Execution Technology is a hardware-based security feature that helps ensure a trusted, measured launch and execution environment for software on Intel platforms.
-
D.
Trusted Platform Module 2.0
Trusted Platform Module 2.0 is a hardware-based security chip standard that provides cryptographic functions and secure key storage to enhance system integrity and protection against tampering.
-
E.
Secure Enclave
Secure Enclave is Apple’s dedicated coprocessor for handling sensitive tasks like encryption and biometric data storage in a secure, isolated environment.
- 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: trusted computing Target entity description: Trusted computing is a security approach in which hardware and software are designed to work together to enforce strict integrity, confidentiality, and attestation guarantees for computing platforms.
-
A.
Trusted Execution Environment
A Trusted Execution Environment (TEE) is a secure area of a main processor that runs isolated code and protects sensitive data from the rest of the system, even if the operating system is compromised.
-
B.
TrustZone security extension
TrustZone security extension is ARM's hardware-based security technology that creates isolated execution environments to protect sensitive code and data on system-on-chip devices.
-
C.
Intel Trusted Execution Technology
Intel Trusted Execution Technology is a hardware-based security feature that helps ensure a trusted, measured launch and execution environment for software on Intel platforms.
-
D.
Trusted Platform Module 2.0
Trusted Platform Module 2.0 is a hardware-based security chip standard that provides cryptographic functions and secure key storage to enhance system integrity and protection against tampering.
-
E.
Secure Enclave
Secure Enclave is Apple’s dedicated coprocessor for handling sensitive tasks like encryption and biometric data storage in a secure, isolated environment.
- F. None of above. chosen
Statements (51)
| Predicate | Object |
|---|---|
| instanceOf |
computer security concept
ⓘ
information security approach ⓘ security architecture ⓘ |
| aimsTo |
enable remote attestation
ⓘ
enforce security policies in hardware and software ⓘ ensure data confidentiality ⓘ ensure platform integrity ⓘ |
| appliedIn |
Internet of Things devices
ⓘ
cloud computing platforms ⓘ mobile devices ⓘ personal computers ⓘ servers ⓘ virtualized environments ⓘ |
| associatedWith |
TPM 1.2
ⓘ
linked to:
Trusted Platform Module 1.2
TPM 2.0 ⓘ
linked to:
Trusted Platform Module 2.0
Trusted Platform Module ⓘ
linked to:
Trusted Platform Module 2.0
hardware security modules ⓘ measured boot ⓘ platform configuration registers ⓘ remote attestation protocols ⓘ secure boot ⓘ |
| benefit |
hardware-enforced isolation of secrets
ⓘ
improved resistance to tampering ⓘ stronger guarantees of platform integrity ⓘ |
| coreConcept |
measured boot
ⓘ
remote attestation ⓘ root of trust ⓘ sealed storage ⓘ trusted execution environment ⓘ |
| criticizedFor |
potential impact on user control over devices
ⓘ
potential to enable restrictive digital rights management ⓘ privacy concerns related to attestation ⓘ |
| enables |
enforcement of digital rights management policies
ⓘ
isolation of sensitive computations ⓘ protection of cryptographic keys bound to platform state ⓘ resistance to certain malware attacks ⓘ verification of platform state by remote parties ⓘ |
| fieldOf |
computer security
ⓘ
information security ⓘ |
| implements |
hardware-based root of trust
ⓘ
integrity verification of software stack ⓘ platform configuration measurement ⓘ secure key storage ⓘ |
| reliesOn |
attestation protocols
ⓘ
cryptographic primitives ⓘ key management infrastructure ⓘ secure boot mechanisms ⓘ trusted hardware components ⓘ |
| standardizedBy |
Trusted Computing Group
ⓘ
linked to:
Trusted Computing Group specifications
|
| uses |
hardware-based security mechanisms
ⓘ
software-based security mechanisms ⓘ |
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: trusted computing Description of subject: Trusted computing is a security approach in which hardware and software are designed to work together to enforce strict integrity, confidentiality, and attestation guarantees for computing platforms.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.