Neither cloud wins the AWS security vs Azure security comparison on feature count. Across eight areas, the differences that change your architecture come down to identity, isolation, and what you can recover afterward.
AWS security vs Azure security: Quick answer
AWS hands you more controls and expects you to assemble the perimeter yourself. Azure hands you fewer moving parts and enforces more of the baseline from a single directory.
Both run infrastructure that holds up under scrutiny; what differs is how much design work lands on your side of the line. AWS treats the account as the security boundary, while Azure treats the Entra tenant as the identity plane and pushes policy down through subscriptions.
AWS security vs Azure security at a glance
An AWS vs Azure security comparison starts with where the two models differ structurally.
What is AWS security?
AWS security is the set of controls you use to protect workloads on AWS, divided between what Amazon operates and what you configure. Amazon secures the facilities, hardware, and virtualization layer.
You secure identity, data, network configuration, and everything you deploy on top. The AWS shared responsibility model draws that line service by service.
One design philosophy runs through every service. AWS gives you primitives and expects you to compose them. IAM policies are JSON documents you write and version. Network isolation comes from a VPC you define yourself.
That approach rewards engineering depth. Anyone who understands how AWS evaluates policy can build access control far tighter than a default would give them. It also exposes thin staffing, because nothing enforces the baseline unless you build the enforcement.
What is Azure security?
Azure security is the set of controls you use to protect workloads on Azure, divided the same way. Microsoft runs the physical and platform layers. You own identity governance, data, network rules, and workload configuration, as outlined in Microsoft's shared responsibility guidance.
Azure builds down from the directory. Microsoft Entra ID holds every identity in the organization, and Azure RBAC grants those identities access through role assignments.
Conditional Access sits on top as a second gate. It weighs device state, location, and sign-in risk before a token gets issued, separately from what the role permits.
The design favors consistency over granularity. Azure Policy can deny a non-compliant deployment or fix it automatically, so encryption settings, allowed regions, and tagging standards hold across thousands of resources.
AWS security vs Azure security: Key differences
Eight areas separate the two security models. Identity and isolation drive the most design work, so they come first.
Identity model and how permissions get evaluated
AWS evaluates every request against several policy layers at once. Identity-based policies, resource-based policies, permission boundaries, and organization policies all feed the decision, and an explicit deny anywhere wins.
You get precision and a real debugging burden. Answering "why can this role read that bucket" means reading four documents and holding the evaluation order in your head.
Azure keeps authorization simpler and adds a second gate. RBAC role assignments inherit down the management group, subscription, and resource group hierarchy, so scope does much of the work.
Our call: AWS answers "what can this principal do" with more precision. Azure answers "should this sign-in happen at all" with more context.
Isolation boundaries and blast radius
An AWS account is a hard boundary. Each account carries its own IAM, its own resource namespace, and no implicit trust with any other account.
Cross-account access needs an explicit role trust policy. That’s why mature AWS designs use many small accounts and treat the account as the unit of isolation.
Azure works the other way. Subscriptions divide billing and scope, but they all sit under one Entra tenant, and a directory role reaches across every one of them. Global Administrator can elevate to User Access Administrator over all subscriptions in that tenant.
The shared tenant is the single biggest architectural difference, and it decides what a stolen credential can reach. Credential abuse appeared at some stage in 39% of breaches in the Verizon 2026 Data Breach Investigations Report, so reach is the first thing to design around.
Our call: AWS contains blast radius better through hard account boundaries. Azure's shared tenant means a stolen credential reaches further.
Organization-wide preventative guardrails
AWS added a second axis of control that changes this comparison. Service control policies cap what principals in an account can do.
Resource control policies, launched in November 2024, cap what can be done to a resource regardless of what its own policy allows. You can enforce "no principal outside this organization touches these buckets" from one place.
AWS keeps widening the supported service list, reaching DynamoDB in February 2026. Declarative policies cover the third angle by pinning service configuration at the control plane.
Azure covers similar ground with Azure Policy deny effects, deny assignments, and deployment stacks, with one exception on the way out: Azure Blueprints retires in phases from July 2026, with full retirement on January 31, 2027.
Blueprint locks stop working at retirement, and Microsoft deletes any definitions and assignments you haven’t exported. Anything relying on them for enforcement needs a migration plan now.
Our call: AWS now has the stronger preventative story for multi-account environments. Azure stays stronger at keeping a configuration baseline applied without custom work.
Encryption and key custody
Both clouds encrypt data at rest by default, and both support customer-managed keys. The difference is how far you can push custody, and how consistently encryption gets enforced.
AWS gives more custody options. KMS covers the common case, CloudHSM gives dedicated hardware, and the external key store lets you hold key material outside AWS entirely. KMS key permissions can also be capped organization-wide with resource control policies, which closes an exposure that key policies alone left open.
Azure Key Vault and Managed HSM cover the same functional ground with fewer variants. Azure's edge is enforcement, since Azure Policy can require customer-managed keys across a subscription and block anything deployed without them.
Our call: AWS for custody depth. Azure for holding an encryption baseline you do not have to police.
Network segmentation and edge protection
The building blocks map almost one-to-one. AWS uses VPCs with subnets, route tables, security groups, and network ACLs. Azure uses virtual networks with subnets, route tables, and network security groups.
Both offer private connectivity to managed services, managed DDoS protection, and a web application firewall. The differences are operational.
AWS security groups are stateful and attach to resources. Azure network security groups apply at the subnet or interface level and use numbered priority rules, which changes how you reason about overlapping rules.
Azure Firewall also arrives as one managed service with built-in threat intelligence filtering. The AWS equivalent gets assembled from Network Firewall, WAF, and Shield.
Our call: AWS gives more granular network control. Azure gets a working perimeter standing with less assembly.
Threat detection and posture management
AWS Security Hub reached general availability in December 2025, as a unified security service. It correlates signals from GuardDuty, Inspector, Macie, and posture checks into exposure findings with attack-path context, and the original Security Hub, renamed Security Hub CSPM, now feeds it as one detection engine among several.
Microsoft consolidated in parallel. Defender for Cloud now runs inside the Defender portal, where its posture capabilities merge into Microsoft Security Exposure Management alongside threat protection.
Sentinel is moving to the same portal. The Azure portal experience for Sentinel retires on March 31, 2027.
Cross-cloud coverage still favors Microsoft. Defender for Cloud connects AWS accounts and Google Cloud projects and assesses them against the same standards, which no AWS-native service matches.
Our call: Even on detection and posture inside a single cloud. Azure keeps the lead if you want one console covering AWS and Google Cloud too.
Log retention and what each cloud bills for
Both clouds give you a free window on control-plane activity, then charge for anything longer. The window is short because audits and investigations often reach back further than 90 days.
On AWS, CloudTrail event history covers 90 days of management events at no charge, plus one free copy of ongoing management events delivered to S3 through a trail.
Data events, network activity events, and CloudTrail Lake all meter separately. Data events on a busy S3 bucket can dwarf the rest of your security spend.
Azure holds Activity Log entries for 90 days by default. Going past that means configuring a diagnostic setting to route logs into Log Analytics, a storage account, or Event Hubs, and you pay at the destination. Resource-level logs capture nothing until you enable them.
Detection services bill on top in both clouds. GuardDuty, Inspector, and Macie meter by usage. Defender for Cloud runs a free foundational tier with paid plans per resource type, and Sentinel bills on data ingested.
Budget for the evidence you need to keep, since the free tier covers far less than an investigation needs. Auditors weigh those retention windows when they assess cloud security compliance.
Our call: Even. Both defaults are too short for a real investigation, and both bills grow from the same decisions.
Recovery after a security incident
Recovery decides how the incident ends, and the two clouds diverge sharply here.
Start with identity configuration. Azure now soft-deletes a wide set of Entra objects for 30 days, including users, groups, and application registrations, with Conditional Access policies and named locations added to the recoverable set. Microsoft Entra Backup and Recovery adds a daily backup of supported objects with up to seven days of history, plus difference reports that show what changed. It needs Entra ID P1 or P2 and cannot recreate hard-deleted objects.
AWS has no equivalent recycle bin. Deleting an IAM policy is permanent, and roles and users work the same way. Managed policies do keep up to five versions you can roll back, which helps with a bad edit and does nothing for a deletion.
Gartner’s 2026 Hype Cycle for Backup and Data Protection Technologies rates identity recovery high benefit and names it a fast mover, because IAM is a critical attack gateway and among the first systems you restore.
Azure’s native recovery covers a short window and AWS offers none, so neither gives a full answer today. Version-control your identity configuration as code and treat it as recoverable state.
Data recovery splits along the same line. AWS Backup Vault Lock in compliance mode makes retention tamper-resistant once the grace period ends. AWS Backup also offers logically air-gapped vaults, which come with a compliance-mode lock but live by default in the same account and Region as the source.
Azure pairs immutable vaults with multi-user authorization through a Resource Guard, so one compromised admin cannot approve a destructive change alone. Azure immutability can also start unlocked, and a compromised admin can switch it off on an unlocked vault before deleting anything.
Both clouds configure these controls vault by vault, and AWS Backup offers no org-wide view of which resources are protected and which have drifted.
Both approaches share an assumption worth testing. Each one trusts the control plane governing the recovery copy. If a single credential can reach production and the vault policy, the isolation exists on paper only.
AWS immutable backups and Azure immutable backups enforce this differently, and each leaves protection short in different places.
Our call: Azure is meaningfully ahead on restoring identity configuration. Data-layer protections are close, and both leave the isolation design to you.
When to use AWS security vs Azure security
Use AWS security when:
- You want the account as a hard isolation boundary and can design SCP and RCP guardrails
- Your workloads are AWS-native and you want detection, vulnerabilities, and posture correlated in one place
- You need resource-level policy precision authored as code and reviewed like code
- You want key custody options that reach outside the provider
Use Azure security when:
- Your identity estate already runs on Entra ID and Microsoft 365, with Conditional Access doing real work
- You want encryption, region, and tagging baselines enforced by policy without per-resource effort
- You need one security console covering Azure, AWS, and Google Cloud together
- Your security function is small and benefits from defaults that hold without custom tooling
If you run both, standardize the layer above the two providers. Pick one identity source of truth, one log destination with a retention policy you can defend, and one place to answer what is protected.
That combination is now the norm: 54% of respondents operate across three or more cloud platforms, per Eon's 2026 Cloud Data Infrastructure Report. The protection side of that work runs on AWS backup and Azure backup best practices.
Where Eon fits across AWS and Azure
The AWS security vs Azure security question resolves into one design decision about trust boundaries, and the answer changes by workload more than by vendor. Get identity, guardrails, and log retention right in each cloud first.
Then solve the part neither provider solves for you: whether your recovery copies survive the compromise, and whether you can find what you need inside them.
The disconnect is measurable: 84% of teams running three or more clouds hit at least one recovery failure in the past year, even though 97% of that same group trust their data to restore predictably.
One reason the gap persists is architectural. A recovery copy in the same account or tenant as production is not isolated, because the same admins who run production can change or delete it.
Eon is cloud data protection that holds recovery copies in logically air-gapped, immutable vaults, separate from your production environment. One platform covers AWS, Azure, and Google Cloud, and Cloud Backup Posture Management (CBPM) continuously scans, maps, and classifies resources as they appear, then applies the right protection policy. Where Eon ingests the data, recovery goes down to the file, table, or record, so you restore the exact data you need instead of a full environment.
For the identity layer, Eon Data Protection for Microsoft Entra ID protects these objects and the relationships between them:
- Users, groups, and devices
- Directory roles and licenses
- App registrations and service principals
- Relationships, including group membership, ownership, role assignments, and license assignments
Recovery copies sit logically air-gapped and immutable, outside the tenant they protect. MFA registrations and secrets are not restored, and each restore reports those gaps so your team can close them manually.
Key benefits:
- One coverage view across AWS and Azure, with drift surfaced before an audit finds it
- Immutable, logically air-gapped copies held outside the blast radius of compromised production credentials
- Granular restore of the exact file, object, or record affected, with no full rehydration
SoFi cut recovery from a day to minutes across five AWS regions with Eon.
Can you name the copy you would restore from if an admin credential in either cloud were compromised tomorrow? Book a demo and see how Eon keeps recovery copies outside the blast radius of a compromised admin and restores only the data you need. For the identity layer, read how Eon protects Microsoft Entra ID.
Frequently asked questions
Is AWS or Azure more secure?
Neither AWS nor Azure is inherently more secure. Both operate infrastructure audited against the same major frameworks, and customer-side configuration errors cause far more breaches than provider weaknesses. The better question is which control model your organization can operate correctly at its current staffing level.
Does Microsoft Defender for Cloud protect AWS workloads?
Yes. You add an AWS account through a connector, and Defender for Cloud evaluates those resources in the same console as your Azure workloads. Google Cloud projects attach the same way. Nothing AWS-native reaches outside AWS, which is why multi-cloud organizations often centralize here.
Can AWS enforce encryption the way Azure Policy does?
AWS can enforce encryption, though it takes more assembly. Service control policies deny requests that create unencrypted resources, and resource control policies restrict who reaches your keys. Azure Policy reaches a similar outcome in fewer steps and can remediate existing resources automatically.
How long do AWS and Azure keep security logs by default?
Both keep control-plane activity for 90 days at no charge. That covers CloudTrail management events on AWS and Activity Log entries on Azure. Longer retention means exporting to storage, and you pay ingestion and storage at the destination.
What replaces Azure Blueprints?
Azure Deployment Stacks is Microsoft's recommended replacement, with template specs handling artifact storage and versioning. Blueprints enters phased retirement from July 2026 and retires fully on January 31, 2027. Blueprint locks stop working at retirement, and Microsoft deletes any definitions and assignments you haven’t exported, so any enforcement built on them needs migrating.
Do native backup vaults in AWS or Azure survive a compromised admin account?
Partly. AWS Backup Vault Lock in compliance mode blocks early deletion once the grace period ends, but it controls retention and does not control who can access or change the copy. Azure immutable vaults can be locked permanently, and multi-user authorization adds a second approver for disabling immutability or soft delete. An unlocked vault can still have immutability switched off by a compromised admin. In both clouds, one credential that reaches production and the vault policy can undermine the design.
