What cloud data security covers
Cloud data security covers data in three states. Data at rest sits in cloud storage and collaboration services. Data in transit moves between devices, the corporate network, and those services. The control plane covers accounts, roles, keys, and logging. It decides who can reach the data and whether that access can be proven.
The scope depends on the service model. In infrastructure as a service, the customer manages operating systems, applications, and most data-layer settings. In software as a service, the provider runs nearly everything, and the customer mainly manages identities and what users may do. The more the provider owns, the more the risk becomes configuration and user behavior.
Upload control per cloud service
Each cloud storage service, including its web version, can be set to access, audit or shadow-copy mode. The cloud storage control module applies these modes to each service separately.
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The shared responsibility model
Every major provider publishes a shared responsibility model. The provider is responsible for the cloud itself: hardware, physical security, and availability. The customer stays responsible for the data in the cloud: classification, access decisions, configuration, and what users do in the services. No provider covers a container left public, a misdirected sharing link or an employee who exports records to a personal account.
Most cloud data incidents are not caused by a provider failure. They happen when the customer assumes the provider handled something the customer owned. Mapping each service's responsibility matrix onto the organization's controls is the first step of any program.
Misconfiguration: the most common failure
Misconfiguration is consistently the leading cause of cloud data exposure. Cloud environments change faster than review cycles, resources are created for a sprint or a migration, and the exception becomes permanent. The recurring patterns:
| Pattern | What goes wrong |
|---|---|
| Public storage | Buckets and containers set to public read, then forgotten |
| Over-permissive sharing | Links open to anyone with the link, not to named recipients |
| Exposed credentials | Access keys and API tokens in repositories or scripts |
| Disabled logging | Audit logging switched off by default or to save cost |
| Standing privileges | Permanent admin rights instead of time-limited access |
Shadow SaaS and unsanctioned services
Employees adopt cloud services faster than security teams can approve them, and that gap sits at the core of shadow IT. Examples include a note-taking app, or a personal cloud drive used to move a large file over a slow connection. Shadow SaaS is rarely malicious. It is convenience. But each unsanctioned service is a channel through which corporate data leaves the approved boundary, outside its logging and retention rules.
The difficulty is visibility. A browser service looks like ordinary web traffic, and a sync client looks like any other app. Programs combine an inventory of what is in use with a policy on what is acceptable, and with controls on the transfer itself. The goal is to detect when work data is uploaded to an unsanctioned service.
Control approaches
Several control families operate in this space, including cloud DLP and endpoint DLP. A mature program usually needs more than one, because each sees a different part of the problem:
| Control | What it covers |
|---|---|
| Cloud access security broker (CASB)Discovery and policy | Finds services in use and enforces policy on transfers |
| Native provider controlsPlatform settings | Encryption, keys, access policy, and logs for each platform |
| Cloud DLPContent inspection | Inspects what a file contains, not only where it goes |
| Endpoint-based controlsSource of the upload | Watch uploads at the source, including browser use |
| Identity and access managementWho can open the data | Limits who can open cloud data, and from where |
Where to start
Start with the services that already hold the most sensitive data, then map the upload channels employees actually use. A control list written for every cloud service at once tends to block ordinary work and get switched off. Anexet DLP applies these controls at the endpoint, where uploads begin, and keeps the audit trail on the customer's infrastructure.
Further reading: DLP Systems — what it is and how it works; The concept of “Zero Trust”.
A cloud leak rarely looks like a breach. It looks like an upload someone thought was routine.
Anexet TeamHow Anexet handles this
Anexet approaches cloud data security from the endpoint rather than the cloud side. Agents on workstations monitor and control what is uploaded to cloud-storage services, desktop sync clients, and browser use alike, before data leaves the device:
The product runs entirely on-premise, so the monitoring data itself, captured transfers, incidents, and audit history, stays on the customer's infrastructure. Anexet does not scan data already stored in cloud services and is not a cloud deployment; its leverage sits where corporate data becomes a cloud upload.
Upload control per service
cloud-storage applications and their web versions are monitored per service, with access, audit, and shadow-copy modes, so uploads of confidential content to unsanctioned storage are stopped at the endpoint.
Content-based decisions
transfers are evaluated by content, security thesauri (170 pre-built dictionaries), hash banks, digital-fingerprint libraries, and Microsoft sensitivity labels, so policy acts on sensitive data wherever it is uploaded.
Blocking, quarantine, and a complete audit trail
depending on the rule, an upload is blocked, quarantined for review, or recorded with a complete, attributable audit trail covering user, timestamp, channel, and action.
Shadow SaaS visibility
installed-application inventory and site and application categorization reveal which cloud services are actually in use, the sanctioned-versus-unsanctioned picture a policy needs.
Anexet DLP
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