The counterpoint to these awful statistics is the emergence of data security posture management, which involves the continuous assessment, monitoring, and enhancement of an organization's data security.
While some DSPM providers advocate traditional Software as a Service or an outpost model, there is a compelling argument for conducting data security posture management completely from within the customer's environment.
The age old security adage that you can't protect what you can't see rings true in DSPM. Maintaining visibility and control over sensitive data is paramount for effective data security.
Organizations retain complete ownership and control over all security monitoring data, logs, and metadata.
This may be less of a concern than others, unless you haven't done the appropriate due diligence on the hosting of the DSPM SaaS platform is the avoidance of potentially steep data egress fees from cloud providers.
External DSPM solutions may need to extract large volumes of data, such as logs, metadata, and configuration details, from the customer's cloud accounts for monitoring and analysis.
For organizations dealing with highly regulated data or bound by regulations dictating who you can do business with, maintaining compliance with security standards and certifications is a cost of doing and staying in business.
With a cloud-hosted service, deploying security capabilities is as simple as enabling an account and feeding data streams.
The limited data custody and control, extended compliance scope, egress fees, and potential for data exposure or residency violations is challenging.
For highly regulated industries or environments with sensitive data, the push of data into an opaque, multi-tenant cloud is untenable.
Some vendors have attempted to strike a middle ground with deployment models that keep sensitive data within the customer environment.
The actual regulated data remains behind the customer's firewalls.
Metadata potentially exposes sensitive context that could enable unauthorized access if compromised, violating compliance requirements around data custody.
Sometimes only offering simplistic REGEX. There are visibility gaps from not having the vendor's systems able to directly inspect data flows, access patterns, configurations and activities within the customer's environment in full fidelity.
Creates a fragmented security data plane spanning multiple environments, increasing complexity and potential stack blindspots.
So while keeping data storage within the customer environment is a step in the right direction, these hybrid models don't fully resolve concerns.
Unlike traditional SaaS deployments, Symmetry recognized the importance of deploying DSPM solutions without compromising data security and control.
To address historical challenges of deploying data platforms within customer environments, such as lengthy installation procedures, compatibility issues, and data access concerns, Symmetry developed a streamlined deployment process quickly tailored to each customer's cloud environment.
Initial Assessment: Identify the customer's cloud accounts, log sources, and data stores for deployment.
The role enables Symmetry to query the customer's cloud accounts, log sources, and data stores.
This Cyber News was published on securityboulevard.com. Publication date: Thu, 11 Apr 2024 01:43:04 +0000