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Linux Foundation takes on TRACE, a hardware-backed runtime evidence specification for AI agents

Help Net Securityby @helpnetsecurity ()2 min read2
AI summary · glm-5.3-flashSummaries by Vani AI

The Linux Foundation adopts TRACE, an OPAQUE-contributed spec giving AI agents hardware-attested, cryptographically verifiable runtime and compliance evidence.

The Linux Foundation accepted the TRACE (Trust, Runtime Attestation and Compliance Evidence) specification contributed by OPAQUE, developed with AMD, Intel, Microsoft, and the Technology Innovation Institute. TRACE binds runtime environment, software, policies, data classifications, and tool usage into a portable, cryptographically verifiable artifact, composing existing standards such as RATS, EAT, SLSA, SCITT, SPIFFE, and EAR. It recorded nearly 135,000 PyPI downloads within 10 weeks of its June 2026 introduction, and its technical workstream will be hosted by the Coalition for Secure AI.

Key facts
  • Developed collaboratively by AMD, Intel, Microsoft, OPAQUE, and Technology Innovation Institute.
  • Builds on RATS, EAT, SLSA, SCITT, SPIFFE, and EAR rather than new frameworks.
  • Reached nearly 135,000 PyPI downloads within 10 weeks of its June 2026 debut.
  • Technical workstream hosted by the Coalition for Secure AI (CoSAI).
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From the original article

2 min read at helpnetsecurity.com

The Linux Foundation announced the contribution of TRACE (Trust, Runtime Attestation and Compliance Evidence), from OPAQUE. Collaboratively developed by AMD, Intel , Microsoft , OPAQUE and the Technology Innovation Institute (TII), TRACE creates a standard, open evidence layer that enables reliable governance records for AI agents and other confidential workloads.

Help Net Security

By @helpnetsecurity · helpnetsecurity.com

Read the full article at Help Net Security

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