EU AI Act Conformity Intelligence (Cross-Industry)
XenonStack · Cybersecurity & IT
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 7 captures on record
What the publisher says
As described on Microsoft Marketplace.
Overview
ElixirData (Context OS) enables enterprises to unify AI governance, explainability, and regulatory compliance intelligence across high-risk AI systems deployed throughout the organization.
Show the rest of the publisher’s description (28 more lines)
The platform continuously correlates model decisions, operational context, human oversight actions, and governance controls into a governed compliance context graph with complete Decision Trace lineage aligned to EU AI Act Articles 13–17.
Key Benefits
- Unified AI governance and conformity intelligence across enterprise systems
- Centralized Decision Trace lineage and explainability evidence
- Faster generation of EU AI Act conformity documentation
- Source-to-regulation lineage for every AI governance assertion
- Reduced manual effort during regulatory reviews and audits
- Improved governance across high-risk AI deploymentsHow It Works
ElixirData integrates with AI platforms, MLOps systems, enterprise applications, governance repositories, model registries, and operational workflows.
The platform continuously ingests model outputs, decision context, policy evaluations, human oversight actions, and governance controls into a semantic context graph. It correlates AI system behavior, operational decisions, and regulatory obligations to surface governance gaps, explainability risks, and compliance exposure across enterprise AI deployments.
Every governance assertion is mapped from originating source evidence through operational context to the corresponding EU AI Act requirement. Decision Traces preserve full audit lineage for conformity assessments, regulator reviews, and enterprise governance workflows.
Business Impact
- Reduced effort during EU AI Act conformity reviews
- Faster AI governance evidence preparation and validation
- Improved visibility into explainability and oversight risks
- Enhanced audit readiness for regulated AI systems
- Reduced manual reconciliation of governance evidence
- Increased governance consistency and AI transparency across the enterpriseIdeal For
- Enterprises deploying high-risk AI systems across regulated operations
- Data Protection Officers overseeing AI governance and privacy controls
- CISOs responsible for AI security and governance oversight
- Chief Compliance Officers managing AI conformity and regulatory obligationsIndustries
- Financial Services
- Healthcare & Life Sciences
- Manufacturing
- Retail & Consumer Goods
- Energy & Utilities
- Telecom
Preview
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Agent build and provenance
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Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment · as of 2026-08-29
Sources
Publisher resources
8 linksLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.