Enterprise Agent Context Governance Engine
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 — Enterprise Agent Context Governance Engine provides a centralized governance layer for enterprise AI agents, enabling organizations to control what agents can access, understand, remember, and execute across business systems.
Show the rest of the publisher’s description (35 more lines)
Built on the ElixirData Organisation World Model, the platform creates a policy-aware context graph that governs enterprise knowledge, user permissions, business policies, and AI decision context. Every interaction, retrieval, and recommendation is captured through Decision Trace, providing complete auditability and explainability.
Organizations can confidently deploy enterprise AI while maintaining governance, regulatory compliance, security, and operational transparency across multi-agent environments.
Key Capabilities
- Enterprise agent context governance
- Policy-aware decision memory
- AI context lineage and traceability
- Fine-grained access governance
- Enterprise knowledge governance
- AI decision explainability
- Responsible AI policy enforcement
- Multi-agent governance controlsHow It Works
ElixirData integrates with enterprise applications, identity providers, document repositories, knowledge bases, ERP platforms, CRM systems, collaboration tools, and AI orchestration frameworks.
The platform continuously builds a governed context graph linking users, permissions, enterprise knowledge, business rules, and AI interactions. Every retrieval, reasoning step, and decision is evaluated against organizational governance policies before being delivered to AI agents.
Decision Trace captures the complete reasoning path, context sources, policy evaluations, and governance actions, providing end-to-end explainability and audit-ready evidence for enterprise AI operations.
Business Outcomes
- Trusted enterprise AI deployments
- Improved AI governance and oversight
- Reduced AI security and compliance risks
- Transparent AI decision-making
- Faster regulatory audit readiness
- Controlled access to enterprise knowledge
- Consistent policy enforcement across AI agentsIdeal Users
- Chief Information Officer (CIO)
- Chief Data Officer (CDO)
- Head of AI Governance
- Enterprise Architecture Teams
- AI Governance Teams
- Information Security LeadersIndustry Focus
- Financial Services
- Healthcare & Life Sciences
- Manufacturing
- Energy & Utilities
- Retail & Consumer Goods
- Telecommunications
- Public Sector
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
10 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.