Cloud monitoring is not the same as cloud security monitoring
Most organizations already collect some AWS and Azure logs. The harder question is whether anyone can distinguish a routine configuration change from the first step of an account takeover, data theft event, or ransomware campaign. Cloud platforms generate enormous volumes of useful telemetry, but raw collection does not create a defensible monitoring program.
That distinction matters because cloud risk concentrates around identities, permissions, exposed services, and change activity. An attacker who acquires a privileged cloud identity may never deploy malware or trigger a traditional perimeter control. They can create access keys, add a federated credential, alter a security group, copy snapshots, or quietly grant themselves durable privileges.
For buyers evaluating an MSSP, the requirement is not simply “monitor AWS and Azure.” It is to establish exactly what must be visible, which detections deserve immediate investigation, how alerts are tuned for your environment, and what response actions are authorized when activity crosses a defined threshold.
Start with the attack paths that create business exposure
An effective cloud monitoring scope follows likely attack paths rather than a vendor checklist. The highest-value signals are the ones that reveal identity abuse, privilege escalation, public exposure, sensitive-data movement, and efforts to disable visibility. AWS and Azure differ in service names and log formats, but the attacker objectives are remarkably consistent.
Verizon’s Data Breach Investigations Report continues to show that credential abuse is a leading initial access pattern. In cloud environments, a valid identity can provide direct access to management planes and data services. Monitoring must therefore connect authentication, authorization, configuration, and workload evidence into one investigation.
The operating goal is not to alert on every failed sign-in or policy update. It is to identify combinations that change risk materially: a suspicious sign-in followed by consent to an application, creation of credentials, access to a sensitive store, and log tampering. That sequence warrants analyst attention even if each isolated event appears legitimate.
Identity control plane
Watch users, roles, service principals, federation, tokens, credentials, MFA changes, and permission grants. Identity events are the common thread across cloud attack chains.
Configuration control plane
Track changes that make workloads, storage, identities, or network paths more permissive. Misconfiguration is often the condition that makes a successful intrusion damaging.
Workload and data activity
Monitor compute, containers, databases, storage, and application signals for suspicious execution, anomalous access, lateral movement, or material data transfer.
What an MSSP should watch in AWS
AWS monitoring begins with organization-level visibility. CloudTrail management events should be collected across all accounts and regions, including events from regions your teams believe they do not use. Attackers may create resources in an overlooked region precisely because controls, budgets, and alerting are weaker there. CloudTrail data events are also important for high-value S3 buckets, Lambda functions, and other services where object-level access matters.
CloudTrail alone is not enough. A mature service should correlate it with AWS Identity and Access Management activity, Amazon GuardDuty findings, VPC Flow Logs, Route 53 Resolver logs where applicable, CloudWatch logs, Elastic Kubernetes Service audit records, and relevant application telemetry. AWS Security Hub can normalize findings, but it does not replace investigation, prioritization, ownership, and response.
AWS identity and privilege events
- Root account use, root access-key creation, root MFA changes, and root sign-ins that are not explicitly approved.
- Creation or modification of IAM users, roles, policies, instance profiles, permission boundaries, and cross-account trust relationships.
- New access keys, unusually old active keys, access-key use from unexpected networks, and use after a key was reported inactive.
- AssumeRole activity involving unfamiliar source accounts, unusual session names, anomalous geographies, or roles rarely used by the requesting identity.
- Policy changes that introduce wildcard actions, wildcard resources, administrative permissions, PassRole access, or permission escalation paths.
- Changes to AWS IAM Identity Center assignments, external identity-provider configuration, MFA devices, and break-glass accounts.
These detections need context. A role assumption from another account may be normal for a deployment pipeline, while the same role assumed by a human identity at midnight from a new network may not be. Your MSSP should maintain asset, account, application, owner, and change-window context so analysts can make a fast, defensible decision rather than forwarding ambiguous alerts to an already busy internal team.
AWS exposure, persistence, and data signals
Watch for security group rules that permit broad administrative access, network ACL changes, internet-facing load balancers, public IP assignment, and changes to VPC peering, transit gateway, or endpoint policies. Monitor S3 bucket policy and public-access-block changes, encryption changes, lifecycle rules, replication configuration, and large-scale object reads. Attackers often prepare data for collection before they move it.
Persistence indicators include new Lambda functions, changed Lambda code, EventBridge rules, Systems Manager associations, EC2 user-data changes, container task definitions, and new scheduled execution paths. Visibility suppression is equally important: disabling CloudTrail, deleting log groups, changing retention, modifying GuardDuty settings, or restricting a log-delivery bucket should generate urgent, high-confidence cases.
What an MSSP should watch in Azure
Azure security monitoring must cover both the Microsoft Entra ID tenant and Azure resource management plane. Treating them separately creates blind spots. Many impactful Azure incidents start with Entra authentication or application abuse, then move into subscriptions, resource groups, Key Vault, storage, virtual machines, Kubernetes, or Microsoft 365-connected data.
At a minimum, collect Entra sign-in, audit, provisioning, and risky-user information; Azure Activity Logs; Defender for Cloud alerts; Azure resource diagnostic logs; Network Security Group flow logs; Key Vault audit logs; Microsoft Sentinel data where deployed; and endpoint telemetry from virtual machines. Microsoft’s Azure logging and auditing guidance is useful for validating native sources, retention, and service-specific requirements.
The provider should also understand tenant design. A single Entra tenant may govern multiple subscriptions, business units, acquired entities, or development environments. A detection program that does not map privileged groups, emergency accounts, managed identities, service principals, and subscription ownership will generate noise while missing the paths attackers actually use.
Azure identity and application abuse
High-priority detections include legacy authentication use, impossible travel with supporting risk indicators, MFA method changes, password resets for privileged users, conditional access policy changes, and new privileged directory-role assignments. Monitor both permanent and eligible assignments through Privileged Identity Management. An eligible role activated outside normal practice can be as important as a permanent assignment.
Application registration and service-principal events deserve special scrutiny. Alert on newly added credentials, certificates, owners, delegated permissions, application permissions, and admin consent. Malicious OAuth applications can retain access even after a user password is reset. Microsoft’s Entra audit log documentation details the events needed to investigate these changes.
Azure resource, network, and data changes
Monitor Azure role-based access control assignments at management group, subscription, resource group, and resource scope. Pay particular attention to Owner, Contributor, User Access Administrator, Key Vault Administrator, and custom roles with broad permissions. Also watch management locks removed, Azure Policy assignments altered, resource provider registrations, and deployments initiated by identities that do not normally manage infrastructure.
For resources, prioritize public network access enabled on Storage Accounts, SQL databases, Key Vault, Azure Container Registry, and managed services. Track firewall changes, Network Security Group rules, route-table changes, public IP creation, private endpoint deletion, and DNS modifications. In data services, watch bulk reads, export operations, backup or snapshot creation, unusual token use, and access from new applications or networks.
Tune detections around business context, not vendor defaults
Native cloud findings are valuable starting points, but default rules do not know your approved automation, administrative workflows, acquisition history, or tolerance for operational interruption. A high-performing MSSP continuously tunes detection logic with your cloud engineering and application owners. That includes allowlisting known deployment identities carefully, preserving alerts for risky variations, and documenting exceptions with review dates.
For example, a Terraform pipeline may legitimately create roles and modify network controls. Instead of suppressing every infrastructure-as-code event, detection logic should verify expected source identity, repository or pipeline context, target account, approved change window, and permission scope. A policy change outside that pattern remains visible. This approach reduces false positives without creating broad blind spots.
Cloud monitoring also requires asset criticality. A public test bucket and a production bucket containing regulated records should not generate the same case severity. Classify crown-jewel subscriptions, accounts, identities, applications, data stores, and recovery infrastructure. Then ensure investigation queues, escalation routes, and response service levels reflect business impact rather than log volume.
Demand an investigation and response model
Alert delivery is not managed detection and response. Your provider should show how it validates a cloud alert, enriches it with identity and asset context, determines scope, preserves evidence, communicates urgency, and coordinates containment. This is where an apparently inexpensive monitoring service can become costly: internal teams inherit the difficult work after receiving a poorly qualified notification.
Ask which actions can be taken under preauthorization. Depending on your risk appetite, examples may include disabling an access key, revoking an Entra session, removing a malicious application credential, isolating a virtual machine through endpoint tooling, blocking a hostile IP, or temporarily restricting an exposed storage resource. Preapproved playbooks shorten containment time while retaining governance.
A strong provider documents case timelines, evidence, affected resources, suspected attacker objective, actions taken, recommendations, and follow-up ownership. It also performs recurring reviews of detection quality and incident trends. Those reviews should feed improvements into identity hardening, cloud architecture, endpoint controls, backup protection, and employee access practices.
Cloud workloads do not operate in isolation. A compromised developer laptop can yield cloud credentials; a cloud identity compromise can lead to endpoint persistence; an exposed application can reveal data from a managed database. This is why Managed Detection and Response should connect endpoint, identity, network, and cloud evidence rather than treating every technology as a separate queue.
Questions to ask before selecting a cloud monitoring partner
- Which AWS and Azure log sources are included, and which require additional licensing, configuration, or professional services?
- How does the provider verify telemetry coverage across accounts, subscriptions, regions, tenants, and newly created cloud resources?
- What detections exist for privilege escalation, OAuth abuse, logging tampering, public exposure, suspicious data access, and ransomware preparation?
- Who tunes rules when deployment automation or approved administrative behavior causes recurring alerts?
- What is the difference between a notification, an investigated incident, and a response action under the service agreement?
- Are analysts available around the clock, and what response targets apply to confirmed high-severity cloud activity?
- How are customer-specific runbooks, emergency contacts, change windows, legal obligations, and evidence-retention requirements maintained?
- Can the service integrate cloud telemetry with existing SIEM, endpoint, vulnerability, ticketing, and incident-response processes?
These questions expose whether a provider is selling log forwarding or operating a security program. The right answer may include shared responsibilities. Your internal cloud teams should retain architecture and change ownership, while the MSSP provides continuous monitoring, threat-led detection engineering, triage, investigation, escalation, and agreed response support. Clear responsibility boundaries prevent gaps during a real incident.
Measure outcomes, not ingestion volume
Useful cloud security metrics include coverage of monitored accounts and subscriptions, percentage of privileged identities protected by MFA and conditional access, time to detect suspicious privilege activity, time to contain confirmed incidents, percentage of critical findings remediated within target, and the number of repeated detection exceptions. These measures show whether the program is improving resilience, not merely collecting more data.
Leadership should also see trend reporting by business service and risk theme. Are exposed storage findings falling? Are privileged access events better understood? Are newly deployed cloud resources joining monitoring promptly? Are analysts repeatedly finding gaps in logging or ownership? Meaningful reports turn technical monitoring into accountable risk management and give cloud teams practical priorities.
Clearnetwork helps organizations build that operational discipline through Managed SOC Services that combine monitoring technology with experienced analysts, documented processes, alert tuning, investigation, and escalation. For organizations that need an outsourced operating model rather than another console, SOC as a Service can provide a practical path to continuous coverage.
Turn cloud telemetry into an operational advantage
Clearnetwork can assess your AWS and Azure visibility, prioritize critical detections, and help define a monitoring and response model that fits your business.
Effective cloud security monitoring is disciplined, specific, and continuously refined. It watches the control-plane actions attackers rely on, connects those actions to workload and data evidence, and brings skilled human judgment to every consequential decision. That is what organizations should expect when they ask an MSSP to protect AWS and Azure environments.
