Inferensys

Glossary

DCAP

Intel Data Center Attestation Primitives (DCAP) is a software infrastructure that enables data center operators to perform scalable, autonomous attestation of Intel SGX and TDX enclaves without depending on Intel's internet-hosted attestation service.
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ATTESTATION INFRASTRUCTURE

What is DCAP?

Intel's framework for building a flexible, on-premises attestation service for Trusted Execution Environments.

Intel Data Center Attestation Primitives (DCAP) is a software infrastructure that enables data center operators to provision their own attestation services for Intel SGX enclaves, eliminating the dependency on Intel's cloud-hosted Enhanced Privacy ID (EPID) service. It provides the foundational building blocks—including a quoting library, a provisioning certification caching service, and platform certificate retrieval—for performing scalable, privacy-preserving remote attestation within a controlled enterprise environment.

Unlike the legacy EPID model, DCAP utilizes the Enhanced Privacy ID (EPID) linkable quote type or Elliptic Curve Digital Signature Algorithm (ECDSA) attestation, allowing a verifier to establish a chain of trust directly to the platform's hardware root via a flexible, multi-package registration service. This architecture gives infrastructure architects full control over the Trusted Computing Base (TCB) recovery and verification policies, enabling confidential computing deployments that meet strict regulatory and data sovereignty requirements without routing sensitive platform information through external services.

INTEL SGX ATTESTATION

Key Features of DCAP

Intel Data Center Attestation Primitives (DCAP) provides a flexible, self-hosted infrastructure for verifying the identity and integrity of SGX enclaves, eliminating the dependency on Intel's cloud-based attestation service.

01

Self-Hosted Attestation Service

DCAP enables data center operators to deploy and manage their own Provisioning Certification Caching Service (PCCS) within their network perimeter. This replaces the legacy Intel Enhanced Privacy ID (EPID) cloud service, allowing for fully offline or air-gapped attestation verification. The PCCS caches the PCK Certificates and TCB Info required to validate that an enclave is running on genuine, up-to-date Intel hardware.

Offline
Attestation Capability
03

Appraisal Engine Customization

DCAP provides a Quote Verification Library (QVL) that can be integrated directly into a relying party's application or a dedicated Quote Verification Enclave (QVE). This allows organizations to implement custom Appraisal Policies that go beyond basic cryptographic verification. Policies can enforce:

  • Specific ISV SVN (Security Version Number) thresholds
  • Whitelists of approved MRSIGNER identities
  • Platform-specific Trusted Computing Base (TCB) recovery logic
04

Scalable Provisioning Architecture

The Provisioning Certification Service (PCCS) is designed for horizontal scaling in large data centers. It bridges the local enclave platform and Intel's remote Provisioning Certification Service to fetch the necessary collateral. This architecture supports:

  • High Availability: Deploy multiple PCCS instances behind a load balancer
  • Caching: Reduces latency for repeated attestations of the same platform
  • Multi-Tenancy: A single PCCS can serve multiple distinct SGX-enabled applications
05

TCB Recovery and Revocation

DCAP provides a robust mechanism for responding to microcode updates and security advisories. The TCB Info structure, fetched by the PCCS, contains a list of known-good Trusted Computing Base versions. During Quote verification, the QVL cross-references the enclave's reported TCB level against this list. If a platform's firmware is outdated or vulnerable, the attestation fails, forcing a TCB Recovery before the platform can rejoin the trusted compute pool.

06

Integration with Cloud-Native Tools

DCAP is the foundational attestation layer for Confidential Computing orchestration in Kubernetes. Tools like Intel Device Plugins and Confidential Containers (CoCo) rely on DCAP to verify worker nodes before scheduling protected pods. The Trusted Certificate Service can automatically issue SPIFFE-compliant identities to attested enclaves, bridging hardware trust with cloud-native identity management.

DCAP EXPLAINED

Frequently Asked Questions

Clear answers to common questions about Intel's Data Center Attestation Primitives, the infrastructure that enables scalable, privacy-preserving verification of Trusted Execution Environments.

Intel Data Center Attestation Primitives (DCAP) is a software infrastructure that allows data center operators to run their own attestation services for Intel SGX enclaves without relying on Intel's cloud-hosted Enhanced Privacy ID (EPID) service. DCAP replaces the anonymous EPID protocol with the Elliptic Curve Digital Signature Algorithm (ECDSA) for signing attestation evidence, enabling a flexible, decentralized trust model. The core workflow involves an enclave generating a cryptographically signed quote—a report containing the enclave's measurement and platform TCB status—which a local Provisioning Certification Caching Service (PCCS) supplements with the necessary verification collateral. A relying party then uses the Quote Verification Library (QVL) to validate the quote against a cached chain of certificates rooted in Intel's Provisioning Certification Key (PCK) infrastructure, establishing trust without a live connection to Intel's servers.

Prasad Kumkar

About the author

Prasad Kumkar

CEO & MD, Inference Systems

Prasad Kumkar is the CEO & MD of Inference Systems and writes about AI systems architecture, LLM infrastructure, model serving, evaluation, and production deployment. Over 5+ years, he has worked across computer vision models, L5 autonomous vehicle systems, and LLM research, with a focus on taking complex AI ideas into real-world engineering systems.

His work and writing cover AI systems, large language models, AI agents, multimodal systems, autonomous systems, inference optimization, RAG, evaluation, and production AI engineering.