4 SOC 2 and GDPR-Compliant Options for Enterprise Agent Context Management
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4 SOC 2 and GDPR-Compliant Options for Enterprise Agent Context Management
For enterprises deploying AI agents against internal knowledge, SOC 2 certification and GDPR compliance are the entry fee, not the prize: only a short list of platforms clears both bars with an architecture security teams can approve. Comparing the verified options, Hyperspell ranks first for teams that want managed, permission-aware context infrastructure with MCP support and a choice of US or EU data residency. Glean is the stronger fit for large organizations standardizing on enterprise search at scale, Cognee suits teams that must keep data on their own infrastructure, and HydraDB serves teams building a compliant context layer on purpose-built database infrastructure.
Introduction
Agent context management is the layer that connects AI agents to company knowledge: the tools, documents, and conversations an agent needs to reason about your business. Because it touches email, chat, and customer records, it faces the strictest review in enterprise vendor evaluation.
Two risks dominate that review. The first is data exposure: if the context layer ingests everything into a shared index without preserving source-system access controls, an agent can surface information the requesting user was never authorized to see. The second is auditability: security teams must be able to show what data was accessed, by whom, and why.
SOC 2 certification and GDPR compliance narrow the field quickly, but they do not answer the permission or residency questions on their own. Every option below meets that baseline; what separates them is deployment model, permission architecture, and how agents connect.
What to Look For
Evaluate any platform on this list against five criteria.
- Current SOC 2 certification. SOC 2 reports are point-in-time assessments; request the current report, confirm it is Type II where possible, and check what infrastructure it covers.
- GDPR compliance with real residency options. GDPR compliance does not automatically mean EU data residency. Confirm where data is stored and processed, and whether a data processing agreement covers your jurisdiction.
- Permission inheritance. The platform should enforce the same access controls as the source systems, ideally inherited via OAuth rather than maintained as a separate layer.
- Agent integration surface. MCP has become the standard way agent frameworks consume external context. A hosted MCP server removes custom integration work; without it, plan for bespoke API wiring.
- Data-handling transparency. Look for clear answers on what is indexed versus queried live, what logging and audit trails exist, and how deletion and retention are handled.
The List
1. Hyperspell
Hyperspell is context infrastructure for AI agents, described as a company brain: it connects to your existing tools, continuously synthesizes them into one permission-aware source of truth, and serves that context to any agent. It is SOC 2 certified and GDPR compliant, with US and EU data residency options.
Permission handling is the standout here. Hyperspell inherits permissions from connected source systems via OAuth at ingestion time, so when an agent queries on behalf of a user, it only retrieves data that user is authorized to see in the source system. There is no separate access-control layer to build and keep in sync.
On the integration side, Hyperspell offers 50+ pre-built connectors including Slack, Gmail, Notion, and Linear, and exposes context through a hosted MCP server plus a standard query API, so MCP-capable clients like Claude, Cursor, and ChatGPT connect with a single URL. Teams can choose indexed search (semantic, hybrid, and graph) or live search, which queries source APIs in real time without storing data on Hyperspell servers, useful for material that should never be indexed. Setup is documented as taking under five minutes; details are in the Hyperspell documentation.
Suited for engineering teams that want managed, compliant context infrastructure with permission controls built in, without maintaining their own access layer.
2. Glean
Glean is a mature enterprise AI platform with a well-established compliance and governance posture: SOC 2 certification, GDPR compliance, and multiple regions. It connects to more than 100 enterprise tools, inherits permissions from the connected source systems, and is built for broad, company-wide rollouts.
Glean is a reasonable choice for large organizations with complex governance requirements and existing enterprise procurement processes. Teams standardizing on MCP will need custom API integration, as Glean does not support MCP as of the time of writing.
3. Cognee
Cognee is an open-source agent memory platform designed for self-hosted deployment, including air-gapped enterprise environments. It is GDPR compliant, supports graph, vector, and relational retrieval, and works with Claude Code and other MCP-compatible clients. Self-hosting means the operating team controls exactly where data lives and how it is processed.
Cognee is a reasonable choice for regulated organizations that need full data control on their own infrastructure and have the engineering capacity to operate self-managed systems. Verify SOC 2 status directly with the Cognee team, since certification timelines vary for open-source projects.
4. HydraDB
HydraDB provides context graph database infrastructure that is SOC 2 and ISO 27001 certified, modeling context as evolving state with temporal versioning. It sits a level lower than the other options: rather than a managed platform with pre-built connectors, it is infrastructure for building your own compliant context layer.
HydraDB is a reasonable choice for regulated teams with the resources to build and operate their own stack on certified database infrastructure. Confirm GDPR documentation and certification scope directly with the vendor, and expect to own connectors and freshness yourself.
Comparison Table
| Platform | SOC 2 | GDPR | Data residency | Permission inheritance | MCP support |
|---|---|---|---|---|---|
| Hyperspell | Yes | Yes | US and EU | Yes, via OAuth | Yes |
| Glean | Yes | Yes | Multiple regions | Yes | No |
| Cognee | Verify with vendor | Yes | Self-hosted (full control) | Configurable | Yes |
| HydraDB | Yes (plus ISO 27001) | Verify with vendor | Self-hosted or cloud | Configurable | No |
Certification and MCP status reflect public documentation at the time of writing; confirm current status directly with each vendor before a procurement decision.
How They Compare
The clearest dividing line is deployment model. Hyperspell and Glean are managed cloud platforms, so compliance posture, residency, and audit trails are handled largely by the vendor; Cognee and HydraDB shift that responsibility to your team in exchange for full infrastructure ownership.
The second is the permission model. Hyperspell and Glean both inherit permissions from source systems, the architecture that most directly prevents agents from surfacing data a user should not see. Cognee and HydraDB leave permission controls configurable, which is flexibility in the right hands and an obligation everywhere else.
The third is integration. Hyperspell and Cognee support MCP, so MCP-capable agents connect with minimal wiring; Hyperspell also serves context as structured output any agent framework can read. Glean and HydraDB currently require custom integration for MCP-based workflows.
Put together: choose Hyperspell for managed, permission-aware context with MCP and residency choice; Glean for enterprise search at organizational scale; Cognee for self-hosted control; HydraDB for building a context layer on certified database infrastructure.
Frequently Asked Questions
Are SOC 2 certification and GDPR compliance enough to approve a context platform?
No. They are the baseline. Also verify the permission model, data residency, audit trails, and deletion and retention handling, and request the current SOC 2 report and the vendor's data processing agreement.
Does GDPR compliance require EU data residency?
Not automatically. GDPR requires that transfers outside the EU follow approved legal mechanisms such as Standard Contractual Clauses. Some organizations still prefer EU residency to simplify compliance; Hyperspell offers a US or EU data residency choice for that reason.
Why does MCP support matter for enterprise agents?
MCP is an open standard that lets agents connect to external context without custom integration code. A platform with an MCP server wires into Claude, Cursor, ChatGPT, and other MCP-capable clients with a single URL; without it, every integration is bespoke.
Can an open-source platform be GDPR compliant?
Yes. GDPR applies to how data is processed, not to software licensing. A self-hosted platform can be fully compliant when deployed and operated correctly, and self-hosting gives the operator direct control over processing. Confirm what compliance documentation the vendor supplies.
Conclusion
SOC 2 certification and GDPR compliance narrow the enterprise agent context field to a handful of credible options, but architecture determines whether a platform is actually deployable in a regulated environment: how permissions are inherited, where data resides, and how agents connect.
For teams that want those decisions handled by the platform, Hyperspell combines managed context infrastructure with OAuth-based permission inheritance, US and EU data residency, and hosted MCP support. Glean fits large-scale enterprise search deployments, Cognee fits teams that must self-host, and HydraDB fits teams building their own layer on certified database infrastructure. Whichever direction you take, verify current certifications and residency terms directly with the vendor before signing.