TL;DR: Snowflake security is a customer responsibility for everything above the platform layer: identity (SSO + mandatory MFA), encryption (customer-managed keys via Tri-Secret Secure), network controls (network policies, private connectivity), data governance (RBAC, masking, row access policies), and continuous monitoring through the ACCOUNT_USAGE views. The 2024 wave of account takeovers proved the point: hardening the seven controls in this guide closes the gaps that real-world breaches exploit.
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An Honest Snowflake vs Fabric Review
How Snowflake compares to Microsoft Fabric on platform security, governance, and the controls customers are actually responsible for configuring.
Snowflake stores some of the most sensitive data inside modern enterprises, customer records, financial transactions, clinical data, supplier contracts. The platform handles infrastructure security under a shared responsibility model, but everything from how users log in to who can read which column sits with the customer. That gap is where most real-world Snowflake incidents start.
The 2024 wave of attacks against Snowflake customer accounts proved the point. None of those breaches involved a Snowflake platform vulnerability. Attackers used stolen credentials harvested by infostealer malware to log into customer environments that had no multi-factor authentication and no network policies in place.
This guide covers what Snowflake security actually means in 2026: the shared responsibility model, the eight control layers (identity, authentication, authorization, encryption, network, governance, monitoring, and compliance), the configuration choices that decide whether your account is hardened or exposed, and the lessons the platform learned from the 2024 breaches. Where useful, it links to related work on Snowflake architecture , data security , and data governance frameworks .
Key Takeaways Snowflake security operates on a shared responsibility model: the platform secures infrastructure, but every login, role, and network rule sits with the customer. The 2024 customer-account breaches were not platform failures. Stolen credentials hit accounts that had no MFA and no network policies. Eight control layers, identity, authentication, authorization, encryption, network, governance, monitoring, and compliance, must all be configured for an account to be considered hardened. MFA via authentication policies, an account-level network policy, and three-layer RBAC are the highest-leverage controls and would have neutralized the 2024 attacks. Tri-Secret Secure, dynamic masking, row access policies, and tag-driven classification are the controls that protect regulated workloads at the data layer. Kanerika, a Snowflake Select Tier Partner, hardens enterprise Snowflake estates through a five-stage assess, design, build, govern, and enable model with a track record of governed delivery. What is Snowflake security? Snowflake security is the combined set of controls, identity, access, encryption, network, governance, and monitoring, that protect data inside a Snowflake account from misconfiguration, unauthorized access, and exfiltration. It operates as a layered, defense-in-depth model rather than a single perimeter.
Snowflake itself runs as a managed service on AWS, Azure, and Google Cloud. The platform handles the physical infrastructure, host hardening, and the underlying cloud-services layer documented in the official Securing Snowflake guide . The customer remains responsible for everything inside the account: users, roles, authentication policies, network rules, masking, tagging, and the operational practices that keep credentials out of attacker hands.
This is the shared responsibility model, and it is the single most important concept on this page. After the 2024 breaches, Snowflake’s leadership made the customer-side responsibility explicit, telling Cybersecurity Dive the attacks were “the result of compromised customer credentials” rather than a platform issue. Practically, every recommendation in this guide is a customer-side configuration. Doing them well is what hardens an account.
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How Do Fortune 500 Companies Actually Govern Their Data Migrations
The shared responsibility model in Snowflake Snowflake’s shared responsibility model splits security duties between the platform and the customer along clear lines. Knowing which side owns what is how you avoid the assumption gap that bit so many customers in 2024.
Snowflake owns the physical security of the underlying cloud datacenters, the patching and hardening of the host operating systems, the security of the cloud-services and compute layers, the cryptographic primitives used for encryption, and the availability and resilience of the platform itself. Customers own who can log in, how they authenticate, what privileges those identities receive, which networks can reach the account, what data is masked, what is tagged, what is audited, and what is monitored.
The 2024 attacks all sat on the customer side. The post-incident investigation by Mandiant attributed the campaign to a financially motivated group (UNC5537) that used credentials harvested by infostealer malware from end-user devices. The compromised customer accounts had no MFA, no network policies restricting which IPs could log in, and credentials that had not been rotated. Snowflake has since responded by making MFA the default for new accounts and adding the Trust Center risk assessment.
The eight control layers of Snowflake security Snowflake security is best treated as a stack of eight independent control layers, each one closing a class of risk. A hardened account configures all eight, not just the obvious ones.
The layers are: identity (who the user or service is), authentication (how they prove it), authorization (what they are allowed to do), encryption (how data is protected at rest and in transit), network (where they can connect from), governance (what data is sensitive and how it is treated), monitoring (what activity is logged and reviewed), and compliance (what external frameworks the account satisfies).
Identity and authentication Every Snowflake user, service account, or application is an identity. The platform supports local Snowflake users plus federated identities via SAML 2.0 single sign-on with Okta, Azure Entra ID, Ping, and the other major identity providers. SCIM provisioning keeps users in sync from the identity provider so deactivations propagate automatically.
Authentication is the layer that most directly drove the 2024 breaches. Snowflake supports password authentication, multi-factor authentication via Duo Security, key-pair authentication for service accounts, OAuth 2.0 for application integrations, and external browser SSO. The platform-wide default since November 2024 enforces MFA for new accounts, and Snowflake has announced password-only authentication will be blocked by default for human users from November 2025 onward.
Authentication policies are the modern control that ties this together. An authentication policy can restrict a user to specific client types (Snowsight, the driver, the API), specific authentication methods (password plus MFA, or only key-pair), and specific MFA enrollment requirements. A policy attached to all human users effectively prevents the credential-only login pattern the 2024 attackers exploited.
Authorization with role-based access control Snowflake uses role-based access control (RBAC) as its primary authorization model. Privileges are granted to roles, roles are granted to users (or other roles), and a user activates one role at a time per session. The model enforces the principle of least privilege when designed properly.
The standard pattern uses a three-layer role hierarchy. Access roles are tied to specific objects and carry the raw privileges (for example, a SELECT on a schema). Functional roles represent job functions like marketing analyst or finance approver and are granted the right combination of access roles. Functional roles are then granted to users. The separation is what lets a security team rotate object-level access without touching individual users.
Snowflake also exposes secondary roles, which let a query activate the union of multiple roles in one statement, useful for analysts who need to join across business domains. Object ownership is a separate concept from privileges and should usually sit with a service role, not a person.
Snowflake security controls compared: which layer stops which attack Each control layer addresses a different class of risk. The matrix below maps the eight layers to the failure modes they neutralize, including the ones that drove the 2024 incidents.
Control layer Stops Misses if missing Multi-factor authentication Stolen or phished passwords Single-credential takeover (the 2024 pattern) Network policies Logins from unknown IPs and geos Account access from any internet endpoint Private connectivity (PrivateLink) Traffic crossing the public internet Exposure of data in transit to network attackers RBAC and least privilege Lateral privilege escalation inside the account One compromised role accessing every database Dynamic data masking Unmasked PII reaching unauthorized analysts Sensitive columns visible in every dashboard Row access policies Cross-tenant or cross-region row leakage Multi-tenant data co-mingling Object tagging and classification Sensitive data going untracked No audit trail for regulated columns Tri-Secret Secure (customer-managed keys) Snowflake-side key compromise Single layer of key custody Access History and audit logs Undetected misuse and exfiltration No retrospective visibility for incident response
Misconfiguration sits across every row of that table. The CISA advisory issued after the 2024 incidents listed exactly these controls, MFA, network policies, credential rotation, and access review, as the missing pieces in the breached customer accounts.
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Snowflake Consulting and Implementation
Kanerika is a Snowflake Select Tier Partner that designs, hardens, and operates Snowflake accounts end to end, from authentication policies and network rules to RBAC and governance.
Explore Snowflake Services Data encryption: at rest, in transit, and key custody Snowflake encrypts everything end-to-end by default. Data on disk is encrypted with AES-256, data crossing the wire uses TLS 1.2 or 1.3, and temporary results, metadata, and stage files are all encrypted with the same primitives. Customers do not need to opt in to baseline encryption; it cannot be turned off.
Encryption is layered hierarchically. A root key encrypts account master keys, account master keys encrypt table master keys, table master keys encrypt file keys, and file keys encrypt the actual micro-partitions. The hierarchy gives Snowflake the ability to rotate keys at any level without re-encrypting the underlying data.
Tri-Secret Secure adds a customer-managed layer on top. Customers store their own key in AWS KMS, Azure Key Vault, or Google Cloud KMS, and Snowflake combines it with the platform-managed key to derive the working encryption keys. If the customer revokes their key, all data in the account becomes cryptographically inaccessible, even to Snowflake itself. Tri-Secret Secure requires the Business Critical edition or higher and is the relevant control for HIPAA, FedRAMP, and similar regulated workloads.
Network security: policies, private connectivity, and trust boundaries The network layer decides who can even reach the Snowflake login page. Even with strong authentication, an account left open to the public internet has a much larger attack surface than one restricted to known corporate networks.
Network policies are the foundational control. A policy is an ordered list of allowed and blocked IP CIDR ranges that can be attached to the account, an integration, or an individual user. A typical hardened account allows only the corporate egress IPs and the cloud provider IP ranges used by sanctioned integrations, blocks everything else, and denies any login that arrives from outside the allow list before authentication is even checked.
Private connectivity goes further by removing public internet exposure entirely. AWS PrivateLink, Azure Private Link, and Google Cloud Private Service Connect each let Snowflake traffic stay inside the cloud provider’s private network. A user inside the corporate VPC reaches Snowflake through a private endpoint that never traverses the public internet. The trade-off is operational: private connectivity is configured per region and requires DNS and routing work on the customer side.
Trust Center, Snowflake’s built-in risk scanner, evaluates the account against industry benchmarks like CIS, surfacing accounts that are missing network policies, missing MFA, or sharing data with untrusted partners. The dashboard is a fast first read on where an account sits relative to baseline expectations.
Data governance: masking, row access, tagging, and classification Even users who pass authentication, authorization, and network checks should not see every column. Data governance controls inside Snowflake let security and data teams enforce who sees what at the column and row level, not just the table level.
Dynamic data masking replaces sensitive column values with redacted output at query time based on the active role. A SOCIAL_SECURITY_NUMBER column can return the real value to a fraud analyst, the last four digits to a customer service agent, and a fully redacted string to a marketing user, all from the same physical column. The mask is applied by the query optimizer, so the underlying data is never rewritten and the policy applies uniformly to every query path.
Row access policies do the same job at the row level. A row policy attached to a sales table can restrict each analyst to the regions they own, or restrict each clinical analyst to the trial sites they are authorized for. The policy is a SQL expression that runs in the context of the current session, so a single underlying table can serve many tenants safely.
Object tagging and data classification close the loop. A tag is metadata attached to a column or table, for example, a SENSITIVITY = PII tag or a JURISDICTION = EU tag. Snowflake’s built-in classification can detect likely sensitive columns automatically. Tags then drive masking and row policies, so adding a new table tagged as PII inherits the right controls without anyone hand-writing rules. This is how a governance program scales beyond a few high-value tables to the entire warehouse.
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Data Governance for Snowflake
Kanerika’s data governance practice builds the tag taxonomy, classification, masking, and row access policies that turn a hardened Snowflake account into a defensible enterprise data estate.
Explore Data Governance Snowflake security best practices: a practical hardening checklist Configuration choices are what separates a secure account from one that looks secure on a diagram. The following checklist captures the controls most often missing in real-world Snowflake estates, drawn from Snowflake’s official guidance and the patterns Kanerika applies during security reviews.
Enforce MFA for every human user. Apply an authentication policy that requires password plus MFA or key-pair authentication for human users, and key-pair only for service accounts. Block password-only logins.Adopt a three-layer RBAC model. Access roles for object privileges, functional roles for job functions, users granted functional roles only. Avoid granting ACCOUNTADMIN to humans for day-to-day work.Apply network policies on day one. An account-level policy that allows corporate egress IPs and the cloud provider integration ranges, blocking the rest, prevents login attempts from arbitrary internet endpoints.Use private connectivity for regulated workloads. AWS PrivateLink, Azure Private Link, or Google Cloud Private Service Connect for clinical, financial, or other regulated data so traffic never crosses the public internet.Rotate keys, secrets, and service-account credentials on a schedule. A monthly or quarterly rotation cadence enforced through automation, not a ticket.Tag sensitive columns and let policies inherit. Object tags drive masking and row policies, so new tables pick up the right rules automatically.Turn on Access History and audit it. Stream Access History and login history to a SIEM (Splunk, Sentinel, Chronicle) and alert on anomalies, first-time IPs, off-hours queries, unusual data volumes.Run Trust Center weekly. The risk dashboard surfaces missing controls and trust-relationship changes in time to fix them.Restrict data sharing carefully. Every outbound share is a potential exfiltration path; require an approval workflow and tag every share with its purpose and expected lifetime.Plan for credential rotation when service accounts leave a vendor. Rotate keys whenever a tool or integration is decommissioned, not just on a calendar.Snowflake security and compliance: SOC, HIPAA, PCI, FedRAMP Snowflake holds independent attestations for the major enterprise compliance frameworks. SOC 1 Type II and SOC 2 Type II reports cover the platform’s controls and are downloadable from the Snowflake Trust Center . ISO 27001, ISO 27017, and ISO 27018 cover information security, cloud security, and PII handling. PCI DSS attestation covers cardholder data workloads.
HIPAA-eligible workloads run on the Business Critical edition with a signed business associate agreement. FedRAMP High and DoD IL5 authorizations are available in the FedRAMP-authorized Snowflake regions. EU customers can choose Snowflake regions inside the EU and meet GDPR data-residency requirements without architectural workarounds.
Compliance is necessary but not sufficient. A SOC 2 report covers Snowflake’s platform controls, not the customer’s configuration of those controls. A HIPAA-compliant account that has no MFA and no network policies is still exposed; the BAA does not redistribute responsibility for customer-side configuration. The hardening checklist above is what makes the platform certifications useful in practice.
Lessons from the 2024 Snowflake customer breaches The campaign against Snowflake customer accounts in mid-2024 is the most important security event in the platform’s history, and the post-incident analyses are the clearest practical reading on Snowflake security misconfiguration. Roughly 165 customer accounts were affected. None of the breaches involved a platform-level vulnerability.
The attackers used credentials harvested by infostealer malware running on end-user devices, including credentials that were years old and had never been rotated. They reached Snowflake accounts that had no MFA on the affected users, no network policies restricting which IPs could attempt to log in, and limited monitoring of unusual access patterns. Once inside, the attackers exfiltrated tables and used them for extortion.
Three controls would have neutralized the entire campaign. MFA on every human user would have blocked the password-only logins. Network policies allowing only corporate IPs would have blocked the attacker connections at the network edge. Credential rotation on a schedule would have invalidated the stolen credentials long before they were used. Snowflake’s post-incident guidance made each of these the platform default for new accounts and the strong recommendation for existing ones.
The deeper lesson is operational: the customer side of the shared responsibility model needs the same rigor as any production system. Authentication policies, network policies, and credential rotation are not optional hardening, they are the controls that decide whether a stolen credential is harmless or catastrophic.
Monitoring, audit, and incident response in Snowflake Visibility is the layer that turns the previous seven into operational security. Snowflake provides two main sources of activity data, Account Usage and Information Schema, and exposes them as SQL views that can be queried, alerted on, and forwarded to a SIEM.
Login history, query history, and Access History are the three views every security program should be streaming. Login history captures every authentication attempt with the IP, client, and result, which makes brute-force and credential-stuffing patterns trivial to detect. Query history captures every query with the user, role, warehouse, and execution time, useful for spotting unusual data-volume patterns. Access History captures every object touched by every query, which is what lets a security team answer “what did this account read in the last week” precisely.
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Hardening Your Snowflake Account?
Kanerika runs a focused Snowflake security review against the Trust Center benchmarks: MFA enforcement, network policies, three-layer RBAC, masking, and Access History streaming. Walk out with a prioritized fix list.
Schedule a Demo → A useful baseline is to stream these views into Splunk, Microsoft Sentinel, Chronicle, or a similar SIEM and alert on first-time IPs per user, off-hours queries by privileged roles, large result sets returned to client applications, and any successful login that bypassed an authentication policy. The Trust Center provides a weekly account-level review on top of the per-query alerts.
Snowflake security vs Databricks security vs Microsoft Fabric: a real comparison Buyers evaluating Snowflake security usually compare it to the security posture of Databricks security and Microsoft Fabric warehouse security . The three platforms agree on the fundamentals, encryption everywhere, RBAC, audit logging, private connectivity, and differ in how the customer-facing controls are exposed.
Capability Snowflake Databricks Microsoft Fabric Identity SAML, SCIM, federated SCIM, federated Microsoft Entra ID (native) Authentication policies Per-user policy with MFA enforcement Workspace-level MFA via IdP Conditional Access via Entra ID Authorization RBAC with role hierarchy Unity Catalog + workspace ACLs Microsoft Fabric workspace roles + item permissions Encryption at rest AES-256, layered keys AES-256, optional CMK AES-256, optional CMK Customer-managed keys Tri-Secret Secure Customer-managed keys Customer-managed keys Network Network policies + PrivateLink IP access lists + PrivateLink Private endpoints + service tags Column masking Dynamic masking policies Unity Catalog masking Object-level security (OLS) Row-level security Row access policies Unity Catalog row filters Row-level security in OneLake Audit Access History, login history Audit logs, system tables Microsoft Purview, audit logs Compliance SOC 1/2, HIPAA, FedRAMP High, PCI SOC 1/2, HIPAA, FedRAMP Moderate, PCI SOC 1/2, HIPAA, FedRAMP High
The honest takeaway: all three platforms can be hardened to enterprise standards, and most of the security risk is in customer-side configuration, not in feature parity. The choice is usually driven by which platform owns the rest of the data estate, not by the security stack alone. The OneLake security guide covers the Fabric-side equivalents in depth.
Snowflake security for regulated industries Regulated workloads, banking, insurance, healthcare, pharma, government, have a steeper bar than the average analytics account. Three configuration patterns recur across Kanerika’s deployments in these sectors.
Healthcare and pharma run Snowflake on the Business Critical edition with a HIPAA BAA in place, Tri-Secret Secure with customer-managed keys, private connectivity for all client traffic, and aggressive masking on PHI columns so the underlying record is never visible to analytics users by default. Clinical trial data uses row access policies to scope every query to the trial sites the user is authorized for.
Banking, insurance, and other financial-services workloads layer on PCI DSS controls for cardholder data, separate Snowflake accounts for production and non-production data, and a clear segregation of duties between data engineering, analytics, and security roles. Access History is streamed to a SIEM with retention that meets the long evidentiary windows regulators require.
Public sector and federal customers run inside FedRAMP-authorized Snowflake regions with DoD IL5 controls where required, with all administrative access proxied through a privileged-access workstation. The customer side carries the audit and continuous monitoring requirements those regimes impose.
Common mistakes to avoid The recurring mistakes in Snowflake security reviews are not subtle; they are operational gaps that compound over time.
ACCOUNTADMIN handed out routinely. ACCOUNTADMIN should sit with a small number of break-glass accounts, never on individual analysts or data engineers.Service accounts authenticated with passwords. Service accounts should use key-pair authentication; rotating those keys is far easier than rotating a service-account password.No network policy at all. An account with no network policy will accept a login attempt from any IP on the internet. This is the most common gap in unmanaged accounts.Masking applied only to a few obvious columns. A governance program that misses one or two sensitive columns is the same as no governance for those columns. Drive masking from tags, not manual lists — the same tag taxonomy should also feed your AI governance tools so sensitive columns never leak into a training set or a prompt.Stale credentials and orphaned users. Users who left the company two years ago still showing as active is the precondition for the 2024 attacks. The cleanest fix is a recurring access review run by named data stewards as part of broader data stewardship , not an annual security sweep.No SIEM integration. Without Login History and Access History streaming to a SIEM, the security team cannot detect or investigate a misuse pattern.Trust Center never opened. The built-in dashboard surfaces missing controls automatically, and a team that has never checked it is flying blind on its own posture.Case Study
60% Less Manual Reconciliation via a Governed Snowflake Estate
A global technology consulting firm replaced fragmented regional data systems with a governed, centralized Snowflake estate, cutting manual reconciliation effort by 60% inside the same security and governance framework Kanerika applies on every engagement.
Read the Case Study → How Kanerika hardens Snowflake security for enterprises Kanerika is a Snowflake Select Tier Partner. We design, harden, and operate Snowflake estates for enterprises in banking, insurance, healthcare, pharma, manufacturing, retail, and logistics. Security is not a separate workstream; it sits inside the same delivery model as architecture, data engineering, and analytics.
Our Snowflake security work runs in five stages. We start with a baseline assessment against the Trust Center benchmarks and the controls listed in this guide, scoring the account on authentication, network, RBAC, encryption, governance, and monitoring. We design the target state for the customer’s regulatory profile, HIPAA for clinical workloads, PCI DSS for financial, FedRAMP for public sector, and translate it into a concrete authentication policy, RBAC model, network policy, masking policy, and tag taxonomy.
We then build and migrate the controls in place without downtime, including the three-layer RBAC role hierarchy, the network policy and PrivateLink configuration, dynamic masking policies driven from tags, and the Access History pipeline into the customer’s SIEM. We govern the estate ongoing through a data governance framework that ties tags, masking, and row policies to the data classification scheme, so new tables inherit the right controls automatically.
Finally we enable the customer’s team so the security posture survives Kanerika’s exit, runbooks for incident response, the Trust Center weekly review, a quarterly access certification, and the rotation cadence for keys and service accounts. Our Snowflake security work is informed by the same delivery rigor our teams apply across data governance , Snowflake consulting , and data migration programs.
A representative engagement: a global tech consulting firm migrated to Snowflake with Kanerika and replaced fragmented regional systems with a governed, centralized data estate. The program cut manual reconciliation effort by 60% and gave distributed teams real-time visibility into operational data, within a governance and security framework that scaled across regions and tenants.
For enterprises evaluating Snowflake security in 2026, the pattern is clear: the platform is hardened by default at the infrastructure layer, and the customer side is where investment pays off. Kanerika’s role is to make sure that investment lands the first time, against the right controls, with monitoring that survives the team that built it.
Frequently Asked Questions What is Snowflake security? Snowflake security is the combined set of customer-side and platform-side controls that protect data inside a Snowflake account. The platform secures the underlying cloud infrastructure, encryption primitives, and host hardening, while the customer is responsible for identity, authentication, authorization, network rules, data masking, tagging, monitoring, and operational practices. A hardened account configures all eight control layers, identity, authentication, authorization, encryption, network, governance, monitoring, and compliance, rather than relying on the platform defaults alone.
Is Snowflake a SQL database? Snowflake is a cloud data platform with a SQL engine at its core. It supports standard ANSI SQL for queries, DDL, and DML across structured and semi-structured data, but unlike a traditional SQL database it separates storage from compute and runs as a fully managed service on AWS, Azure, and Google Cloud. The SQL surface is what users interact with day to day, while the underlying architecture handles micro-partitioned storage, scalable virtual warehouses, and the security primitives covered in this guide.
What caused the 2024 Snowflake breaches? The 2024 customer-account breaches were caused by stolen credentials harvested from end-user devices by infostealer malware, not by any vulnerability in the Snowflake platform. The affected customer accounts had no multi-factor authentication, no network policies restricting which IPs could log in, and credentials that had not been rotated. Mandiant attributed the campaign to a financially motivated group (UNC5537) that used the stolen passwords to log in directly. Snowflake responded by making MFA the default for new accounts and adding the Trust Center risk dashboard.
How does Snowflake handle encryption? Snowflake encrypts everything by default. Data at rest is encrypted with AES-256, data in transit is encrypted with TLS 1.2 or 1.3, and temporary results, metadata, and stage files use the same primitives. Encryption keys are organized as a hierarchy: a root key encrypts account master keys, which encrypt table master keys, which encrypt file keys, which encrypt the underlying micro-partitions. Tri-Secret Secure adds a customer-managed key on top, which Snowflake combines with its platform-managed key, giving customers the ability to revoke access cryptographically if needed.
What is the difference between a Snowflake authentication policy and a network policy? An authentication policy controls how a user proves their identity: which client types they can connect from, which authentication methods are allowed (password, MFA, key-pair, OAuth), and what MFA enrollment is required. A network policy controls where a user can connect from: an ordered list of allowed and blocked IP CIDR ranges that the platform evaluates before authentication. Both are independent controls and both should be set. Authentication policies prevent password-only logins, while network policies prevent logins from any internet endpoint outside the allow list.
Does Snowflake support HIPAA, PCI DSS, and FedRAMP? Yes. Snowflake holds SOC 1 Type II and SOC 2 Type II reports, ISO 27001, ISO 27017, ISO 27018, PCI DSS attestation, and HIPAA-eligible status on the Business Critical edition with a signed business associate agreement. FedRAMP High and DoD IL5 authorizations are available in the FedRAMP-authorized Snowflake regions. A platform compliance attestation, however, does not cover customer configuration. A HIPAA-eligible account with no MFA and no network policies is still exposed, so the hardening checklist in this guide is what makes the certifications useful in practice.
What is Trust Center in Snowflake? Trust Center is Snowflake’s built-in risk and compliance scanner. It evaluates the account against industry benchmarks such as CIS, surfacing accounts that are missing MFA, missing network policies, sharing data with untrusted partners, or running with stale roles and credentials. The dashboard gives a fast first read on where an account sits relative to baseline expectations and lets security teams remediate the gaps before they become incidents. It pairs well with streaming Login History and Access History to a SIEM for per-event detection.
How does role-based access control work in Snowflake? Snowflake uses role-based access control as its primary authorization model. Privileges are granted to roles, roles are granted to users or other roles, and a user activates one primary role per session, optionally with secondary roles that combine multiple permissions for a query. The recommended pattern is a three-layer hierarchy: access roles carry raw object privileges, functional roles represent job functions and are granted the right combination of access roles, and users are granted only functional roles. The separation makes least-privilege enforceable and lets security teams change object-level access without touching individual users.
