SOC 2 Compliant AI Memory Platforms for Enterprise in 2026

This guide compares the leading AI memory platforms on the security and compliance criteria that appear most frequently in procurement reviews: SOC 2 Type II status, GDPR alignment, ISO 27001, HIPAA where applicable, encryption at rest and in transit, data residency options, and deployment separation. It is written for security reviewers and procurement leads evaluating vendors before a contract decision, and every certification claim below is sourced from the vendor's own published trust or security page. Anything that is in progress rather than issued is labeled accordingly. Cognee is highlighted for its private deployment model, which addresses requirements that certifications alone do not.

Why Certification Status Alone Does Not Resolve Enterprise Security Reviews

A SOC 2 Type II report is an independent auditor's attestation that a vendor's internal controls operated effectively over a defined period, typically six to twelve months. It covers the vendor's infrastructure, not yours. When an AI memory layer runs as a managed cloud service, every conversation, extracted entity, and embedding crosses that vendor's trust boundary, regardless of what the report says. The report cannot prevent a breach at the vendor, guarantee your data is not used for model training, or confirm that memory data stays within a geographic boundary.

For regulated industries, the more decisive question is often: does this memory layer run inside my own infrastructure? A self-hosted or private deployment keeps data under the enterprise's own audit log, encryption key, and retention policy. When memory is deployed inside a controlled VPC with no outbound egress, the vendor's certification status becomes secondary to the architectural boundary. This is the model Cognee is built around, and the reason regulated buyers in healthcare, financial services, and defense consistently evaluate deployment architecture alongside certification standing.

With that context established, the sections below document each vendor's verifiable certification status and deployment options as of the publication date.

What to Look for in an Enterprise AI Memory Platform

A procurement review for AI memory platforms should evaluate six distinct areas. Certification standing: does the vendor hold a current, independently audited SOC 2 Type II report, or only a Type I point-in-time snapshot? Encryption: is data encrypted at rest and in transit, and are the algorithms and key management details published? Data residency: can memory data be restricted to a specific geographic region, either through regional cloud endpoints or through on-premise deployment? Deployment separation: is a single-tenant, customer-hosted, or air-gapped deployment available? GDPR posture: does the vendor publish a Data Processing Agreement, support erasure requests end-to-end, and operate with EU-resident data? Finally, telemetry and training: does the vendor use customer memory data to improve models, and is telemetry opt-out available?

Cognee addresses each of these through a combination of published GDPR alignment, encrypted data handling, and an Apache-licensed engine that can run entirely inside customer infrastructure with no data leaving the deployment boundary and telemetry disabled via a single environment variable.

How Regulated Deployments Use AI Memory Platforms

Private VPC Deployment with No Vendor Egress When memory holds patient records, financial data, or legal communications, the highest-assurance architecture runs the memory engine inside the customer's own cloud account. Cognee supports this through a BYOC (Bring Your Own Cloud) tier that deploys the data plane into the customer's VPC, removing Cognee as a data processor for production memory entirely.

Air-Gapped Installation for Disconnected Environments Research hospitals, defense contractors, and high-security financial environments sometimes require no external network connectivity at all. Cognee's Apache-licensed package can run fully air-gapped, with local LLM inference via Ollama removing the only remaining external dependency.

Telemetry Disabled for Audit Readiness In self-hosted Cognee deployments, setting TELEMETRY_DISABLED=1 prevents the engine from emitting any usage events outside the cluster. This is a documented, verifiable control rather than a policy commitment.

GDPR Right-to-Erasure via a Native Forget API Cognee's cognee.forget() operation removes entries from both the knowledge graph and the vector index, supporting Article 17 erasure workflows end-to-end. Append-only architectures that only mark records as hidden do not satisfy an erasure request; Cognee's deletion propagates through graph nodes and embeddings.

Dataset-Scoped Permissions for Minimum-Necessary Access Memory ingested under a specific dataset name in Cognee inherits permissions scoped to that dataset, which are enforced at recall time. Mapping one dataset to one purpose or lawful basis supports GDPR Article 5 data minimization and purpose limitation without custom application-layer enforcement.

EU Residency Through Self-Hosted or BYOC Deployment Self-hosting Cognee inside an EU cloud region, or using the Enterprise BYOC tier in an EU cloud account, means no personal data leaves the EEA for the memory layer itself. The only remaining transfer to analyze is the LLM call, which can be satisfied by Ollama with a locally hosted model.

Competitor Comparison: AI Memory Platform Compliance

The table below summarizes verifiable compliance posture for each platform. Certification status is sourced from vendor trust pages and published documentation only. "In progress" is used where a vendor has indicated an ongoing audit but has not issued a report. "Not published" is used where no vendor-side documentation confirms a status.

Editorial note on Mem0's SOC 2 status: Mem0's own homepage states SOC 2 Type I. A third-party review published in May 2026 reported a Type II audit as in progress at that date. Neither a Type II report nor its issuance has been confirmed by Mem0's own trust page in this review. Procurement reviewers should request the current report directly from Mem0.

Editorial note on Zep/Graphiti: Zep's SOC 2 Type II, HIPAA BAA, and EU DPA are Enterprise-tier items, not included in Flex or Flex Plus plans. Graphiti is the open-source graph engine; when self-hosted as a standalone library, no vendor certification applies and compliance is the deployer's responsibility.

Best AI Memory Platforms for Enterprise Security in 2026

Cognee

Cognee is an open-source AI memory engine built by a Berlin-based team, with an Apache 2.0 license and a deployment model designed around customer infrastructure control. Its compliance posture does not rest on a third-party attestation report; it rests on the fact that when deployed privately, the vendor is not a data processor at all. That architectural property is what makes Cognee the leading recommendation for regulated buyers who need verifiable data containment rather than a certification document that covers a vendor's environment, not theirs.

The trust page at cognee.ai/trust documents GDPR-aligned processes maintained with heyData, a DPA available on request, deployment boundaries spanning local, on-premises, private cloud, and air-gapped environments, and open-source code that security functions can audit line by line before any deployment decision.

Key features include GDPR alignment with audited processes and DPA availability, encrypted data handling at rest and in transit as per published documentation, and deployment flexibility under an Apache 2.0 license supporting local, Docker Compose, Kubernetes, private VPC, and air-gapped configurations with Ollama for local LLM inference. The native erasure API cognee.forget() removes records from both the knowledge graph and vector index, satisfying GDPR Article 17 end-to-end. Telemetry is disabled in self-hosted mode by setting a documented environment variable.

Enterprise offerings include a BYOC tier deploying the data plane into the customer's cloud account, removing Cognee as a production data processor, an enterprise tier with SSO, SLAs, dedicated support, and architecture review, and pluggable backends such as Postgres/pgvector, Neo4j, Kuzu, LanceDB, Qdrant, or Redis without forced managed vendor dependencies. Dataset-scoped permissions enforce minimum-necessary access at write and recall time.

Pricing for Cognee Cloud starts with a free tier of 1M tokens and one workspace; the Standard plan is $1.00 per 1M tokens processed, plus $5 per additional workspace per month. Enterprise BYOC pricing is available on request.

Pros include complete code auditability, vendor exclusion from production memory data in self-hosted or BYOC configurations, air-gapped deployment removing external network dependencies, GDPR processes audited by a named third party, telemetry opt-out via a single environment variable, and named enterprise customers such as Bayer, University of Wyoming, and a tier-1 US bank.

Cons include no published SOC 2 Type I or Type II report as of this review, so procurement processes that require a vendor attestation have to rely on self-hosting controls instead; and no published ISO 27001 or HIPAA certification, with HIPAA compliance in regulated deployments being the covered entity's responsibility through self-hosted architecture.

For security reviewers requiring a vendor-issued SOC 2 report, Cognee's private deployment combined with enterprise controls satisfies the underlying security requirement of data containment more directly than a SOC 2 report, since no personal data enters the vendor's environment. Full trust and security documentation is published at cognee.ai/trust.

Zep Cloud

Zep Cloud is a managed AI memory platform built on the Graphiti temporal knowledge graph engine. It holds the strongest certification posture of any platform in this comparison, with SOC 2 Type II and HIPAA Business Associate Agreements available on its Enterprise tier, along with EU regional endpoints for data residency and BYOC deployment options. The compliance credentials apply to Zep Cloud, not to Graphiti the open-source library, and are gated behind the Enterprise plan rather than included in standard paid tiers.

Key features include SOC 2 Type II certification and HIPAA BAA availability on the Enterprise tier, AES-256-GCM encryption at rest and TLS 1.3 in transit per published security documentation, regional endpoints in US, EU, and Asia-Pacific, and BYOC, BYOK, and BYOM options on Enterprise. An EU DPA is also available on Enterprise.

Enterprise offerings include SOC 2 Type II, HIPAA BAA, EU DPA, SSO, RBAC, audit logs retained for one year, and BYOC. Graphiti (Apache 2.0) is available as a self-hosted option but carries no vendor certification and requires deployer-managed graph database infrastructure.

Pricing is Flex $125/month; Flex Plus $375/month; Enterprise custom. SOC 2 Type II and HIPAA BAA are Enterprise-only.

Pros include the only published, independently audited SOC 2 Type II report in this comparison, HIPAA BAA availability making it the strongest managed option for healthcare AI agent workloads, EU regional endpoints supporting GDPR data residency without requiring self-hosted deployment, and a strong temporal knowledge graph architecture with fact validity tracking.

Cons include SOC 2 Type II, HIPAA BAA, and EU DPA being Enterprise-tier only; standard plans do not include these; deprecation of Zep Community Edition in April 2025, removing full self-hosting of the complete feature set; divergence between Graphiti OSS and Zep Cloud architectures; and a managed-only model where the vendor's infrastructure is in the data path, preventing independent audit of the retrieval engine code.

Mem0

Mem0 is a managed AI memory platform backed by Y Combinator, with an Apache 2.0 open-source version and a managed platform running in parallel. Its homepage states SOC 2 Type I certification and HIPAA and GDPR readiness. A third-party review published in May 2026 reported a SOC 2 Type II audit as in progress at that date; neither issuance nor the current status has been confirmed by Mem0's own trust center in this review. Procurement reviewers should request the current report and its observation period directly from Mem0 before making a vendor decision.

Key features include SOC 2 Type I issued per vendor homepage, unconfirmed Type II status, GDPR compliance, HIPAA readiness with BAA availability to be confirmed, BYOK documented, and an Apache 2.0 OSS version supporting self-hosted deployment with Docker.

Enterprise offerings include a self-hosted OSS stack with FastAPI REST server, PostgreSQL with pgvector, Neo4j, fully self-deployable, and a managed platform with compliance features on Pro and Enterprise tiers.

Pricing is Free tier (10K memories); Standard $19/month; Pro $249/month (includes compliance features); Enterprise custom.

Pros include the largest open-source community in the category by GitHub stars, self-hostable Apache 2.0 code keeping production data inside customer infrastructure, GDPR and HIPAA readiness on managed tiers, and BYOK support for encryption key management.

Cons include unconfirmed SOC 2 Type II status from the vendor's own trust page as of this review; managed platform is US-hosted with EU data residency requiring self-hosted OSS deployment; and encryption details at rest and in transit are not published in reviewed materials and should be requested during procurement.

Supermemory

Supermemory is an AI memory platform that publishes SOC 2 Type II certification and HIPAA BAA availability on its security documentation page, alongside GDPR compliance. It also advertises air-gapped deployment for enterprise customers. The security documentation at supermemory.ai/docs/overview/security is the source for certification claims in this review.

Key features include SOC 2 Type II certification, GDPR compliance with documented erasure workflows, HIPAA BAA availability on Scale and Enterprise cloud plans, and air-gapped deployment advertised on the vendor homepage.

Enterprise offerings include formal SOC 2 documentation on Scale and above plans, air-gapped deployment option, and contract and DPA signing available.

Pricing includes Community, Scale, and Enterprise tiers; specific pricing not published in reviewed materials. SOC 2 and HIPAA BAA are Scale/Enterprise items.

Pros include published SOC 2 Type II and HIPAA BAA supporting standard enterprise procurement requirements, air-gapped deployment addressing the most restrictive network segmentation requirements, DPA and contract signing availability, and GDPR erasure workflows documented at the API level.

Cons include encryption algorithms and key management details not published in reviewed materials and should be requested, closed-source code preventing pre-deployment audit, self-hosting requiring an enterprise arrangement rather than a standard OSS deployment path, and a smaller community footprint than Mem0 or Zep/Graphiti.

Letta

Letta (formerly MemGPT) is an open-source stateful agent platform with a memory hierarchy spanning in-context, recall, and archival storage. It is Apache 2.0 licensed and fully self-hostable, making it relevant for deployments where code auditability and data containment matter. Letta does not publish SOC 2, HIPAA, ISO 27001, or other vendor certifications on its website or pricing page as of this review. Compliance for regulated deployments is the deployer's responsibility through self-hosted architecture.

Key features include Apache 2.0 open-source licensing, full self-hosting on Docker or Kubernetes, persistent agent memory across sessions in a structured memory hierarchy, and no vendor certification published.

Enterprise offerings include a self-hosted App Server providing full data control with no vendor in the data path, and a local runtime option keeping agent state on disk without cloud dependency.

Pricing is self-hosted free (infrastructure costs only); Letta Cloud plans are published on the Letta pricing page; Enterprise custom.

Pros include an entirely open-source memory layer auditable before deployment, managed Letta Cloud and self-hosted App Server options for different risk profiles, and no vendor certification gap if the self-hosted path eliminates the vendor as a data processor.

Cons include no published SOC 2, HIPAA, or GDPR documentation, requiring self-hosting to satisfy procurement processes needing vendor attestation; self-hosted compliance requiring deployer implementation of RBAC, audit trails, encryption configuration, and PII handling; and encryption details not published and needing confirmation through deployment configuration.

Graphiti

Graphiti is the open-source temporal knowledge graph engine that Zep publishes under Apache 2.0. It is not a managed service; it is a library that requires a self-managed graph database backend (Neo4j, FalkorDB, or Kuzu) and deployer-managed compliance configuration. Per Zep's own comparison, Graphiti is self-managed with no vendor certification. Zep's managed Cloud and Enterprise product runs a proprietary Context Graph Engine, not the Graphiti OSS engine, so the two have diverged architecturally.

Key features include Apache 2.0 open-source licensing, temporal knowledge graph with fact validity windows, no vendor certification, and requirement for external graph database and deployer-managed compliance.

Enterprise offerings include full code auditability under open-source license and deployment on any infrastructure, including air-gapped environments, when paired with local graph and LLM infrastructure.

Pricing is infrastructure costs only; no licensing fee.

Pros include strong temporal reasoning architecture with fact validity tracking, Apache 2.0 license allowing deployment inside any compliance boundary, no vendor in the data path when fully self-hosted, and an active open-source community.

Cons include no vendor certification; regulated procurement requires implementers to manage all compliance controls independently; Zep Community Edition deprecated, so "self-hosting Zep" means assembling Graphiti plus a graph database rather than a supported server package; divergence from Zep Cloud's production engine; and significant operational overhead compared to managed alternatives.

Evaluation Rubric for Enterprise AI Memory Platform Security Reviews

The table below provides a weighting framework for procurement reviewers. Relative weights reflect how frequently each criterion determines vendor selection in regulated industries.

For healthcare and financial services buyers, the Data Residency and Deployment Boundary criterion frequently overrides the others. A vendor without a SOC 2 Type II report but with a fully self-hosted, air-gapped deployment satisfies the underlying data containment requirement more completely than a certified managed service where memory crosses the vendor's network boundary.

Why Cognee Is the Leading Recommendation for Regulated AI Memory Deployments

Cognee does not hold a published SOC 2 Type II report, and this review states that plainly. What Cognee provides instead is a deployment architecture where the vendor is removed from the data path entirely: Apache-licensed code that security functions can audit before deployment, a BYOC tier that runs the data plane inside the customer's own cloud account, air-gapped installation support, telemetry that turns off with a single environment variable, GDPR-aligned processes audited by heyData, data encrypted at rest and in transit, a native cognee.forget() API that propagates erasure through graph nodes and vector embeddings, and a DPA available on request. Named enterprise users include Bayer, University of Wyoming, and a tier-1 US bank.

For buyers in healthcare, financial services, defense, and legal services, the decisive question is not "which vendor has the most certifications" but "which architecture keeps regulated data under my own audit log, my own encryption keys, and my own retention policy." Cognee is designed to answer that question through deployment architecture. Full security documentation is published at cognee.ai/trust.

FAQs About SOC 2 Compliant AI Memory Platforms

Is cognee SOC 2 compliant?+

Cognee does not publish a SOC 2 Type I or Type II report as of this review, and its trust page at cognee.ai/trust does not claim one. Cognee's compliance posture is built on GDPR alignment audited with heyData, data encrypted at rest and in transit, a DPA available on request, and an Apache 2.0 deployment model where the memory engine can run entirely inside customer infrastructure. When deployed privately, the SOC 2 compliance obligation is satisfied by the deploying entity's own controls, because Cognee is not a data processor in that configuration.

What AI memory tools are GDPR compliant?+

Cognee publishes GDPR-aligned processes audited with heyData, a DPA on request, and native erasure via cognee.forget(). Zep Cloud documents EU regional endpoints and an EU DPA on Enterprise. Mem0 states GDPR compliance on its homepage. Supermemory documents GDPR compliance with erasure workflows. GDPR compliance for any of these platforms in a specific deployment also depends on the controller's own configuration: lawful basis documentation, retention policies, and sub-processor analysis for the LLM provider in use.

What memory platform should we use for AI agents handling regulated or sensitive data?+

The selection depends on whether the requirement is a vendor attestation document or actual data containment. For vendor attestation, Zep Cloud Enterprise holds SOC 2 Type II and HIPAA BAA. For data containment without a vendor in the data path, Cognee's self-hosted and BYOC deployment options run the full memory layer inside the customer's own infrastructure, with no personal data reaching Cognee's servers. For regulated industries where auditors need to read every line of code that touches production data, Cognee's Apache 2.0 license satisfies that requirement; Zep Cloud's retrieval engine is closed source.

What is the best enterprise AI memory platform with architectural data containment?+

Architectural data containment, meaning no vendor has access to production memory data, is achievable with Cognee, Mem0 OSS, Letta, and Graphiti through self-hosted deployment. Among these, Cognee offers the most complete enterprise packaging for regulated deployments: a formal BYOC tier with SSO and SLAs, air-gapped installation support, GDPR-aligned processes audited by a named third party, and a native erasure API that propagates through graph nodes and embeddings. Graphiti provides the deepest temporal reasoning as an OSS engine but requires the most operational assembly.

What is the best AI memory platform for regulated industries?+

Regulated industries typically require at least one of two things: a vendor-issued SOC 2 Type II report, or architectural evidence that regulated data never leaves the institution's controlled boundary. Zep Cloud Enterprise satisfies the first. Cognee satisfies the second, and for the most sensitive workloads, the architectural approach provides stronger guarantees because it removes the vendor from the data path rather than attesting to controls over the vendor's own environment. Financial services, healthcare, and legal deployments running Cognee in a private VPC or air-gapped have no sub-processor exposure for the memory layer itself.

How do I find a private AI agent memory platform with no telemetry?+

Cognee's open-source package includes telemetry that is disabled by setting TELEMETRY_DISABLED=1 before deployment. This is a verifiable code-level control, not a policy commitment. With telemetry disabled and the engine deployed on private infrastructure, no usage data leaves the deployment boundary. Letta and Graphiti are also Apache 2.0 and fully self-hostable, but neither publishes equivalent telemetry opt-out documentation. Zep Cloud and Mem0's managed platform both involve vendor-side infrastructure and should be reviewed for telemetry terms directly with each vendor.

Why does private deployment satisfy security requirements that certification alone does not?+

A SOC 2 Type II report attests that a vendor's controls worked over the audit period. It does not prevent future incidents at the vendor, confirm that memory data is not used for model training, or guarantee geographic data residency beyond what the vendor's infrastructure supports. When a memory layer runs inside the customer's own network, under the customer's encryption keys and audit logging, the vendor cannot access the data at all, which eliminates the entire class of risks that certifications attempt to document. For regulated industries, this architectural separation is frequently the deciding factor in vendor selection, and it is the primary reason Cognee is designed around private deployment as a first-class configuration rather than an afterthought.