Data Security & Governance

Protect Data Wherever It Resides or Moves

Enterprise information now moves between public clouds, SaaS applications, corporate endpoints, employees, partners and AI services. Sensitive data can be exposed through excessive permissions, insecure configurations, inappropriate sharing or everyday user activity. Securing a network connection alone does not establish whether the information being accessed or transferred should be available to that user.

Hararei helps organizations establish a coordinated data security strategy using Zscaler technologies. We combine data discovery and classification, data security posture management (DSPM), data loss prevention (DLP) and SaaS security with practical policy design and ongoing operations. The objective is to understand what needs protection, reduce unnecessary exposure and apply appropriate controls without obstructing legitimate business activity.

Data Security Posture Management

Why Traditional Data Protection Is No Longer Enough

A Coordinated Approach to Data Security

Effective data security requires two complementary capabilities: understanding and reducing the exposure of data at rest, and controlling how sensitive information is used and transferred. Hararei designs these capabilities to work together rather than treating discovery, posture and DLP as independent projects.

Data Security Posture Management: Reduce Exposure Before Data Moves

Data security posture management focuses on sensitive information already stored in the enterprise environment. Using Zscaler DSPM, Hararei helps organizations discover and classify supported data stores, understand data access and identify risks such as excessive permissions, unnecessary exposure and configuration weaknesses.

Data Security with Zscaler

Findings become actionable when security, cloud and data owners can agree on remediation priorities. Our approach connects technical discoveries to ownership, risk and practical changes rather than producing another inventory without a remediation process.

• Discover and classify sensitive data across supported cloud, SaaS and other integrated environments.
• Investigate access permissions and conditions that may expose business-critical information.
• Prioritize remediation with application and data owners.
• Track posture improvements and provide evidence for internal reviews and compliance activities.

Unified DLP: Control How Sensitive Information Is Shared

Knowing where sensitive data resides is only half the problem. Organizations also need to control how information is uploaded, downloaded, shared and transferred. Zscaler's unified DLP capabilities support consistent classification and policy enforcement across supported channels, including web, SaaS, email and endpoints, subject to product licensing and deployment.

Hararei begins by identifying meaningful data loss scenarios and aligning policy actions with the business process. Depending on sensitivity and user context, the appropriate response may be monitoring, user coaching, justification or blocking. A phased rollout helps reduce unnecessary disruption and false positives.

Protect Data in SaaS & Collaboration Platforms

Collaboration platforms make enterprise information accessible across teams and organizations, but also increase the potential for accidental oversharing. Hararei can combine Zscaler's supported SaaS security and data protection capabilities to identify risky sharing, review relevant configurations and address data exposure in integrated applications.

The aim is not to prevent collaboration. It is to distinguish authorized business sharing from avoidable exposure, with policies that reflect the sensitivity of the information and the needs of employees and external partners.

Turn Security Controls Into Sustainable Governance

Technology supports data governance, but does not replace business ownership, retention decisions or organizational accountability. Hararei helps translate security requirements into measurable operating practices, including policy ownership, exception handling, incident triage, remediation tracking and reporting.

Where applicable, the resulting controls and evidence can support internal and external requirements such as privacy, industry and contractual obligations. Actual compliance depends on the wider governance program, implementation and applicable jurisdiction; deployment of a security product does not itself establish regulatory compliance.

How Hararei Helps

Data Protection Also Supports Secure AI Adoption

Employees and enterprise AI applications introduce another way for sensitive information to be disclosed or overshared. Data discovery, classification and DLP provide an important foundation, while AI-specific use cases require additional controls for application access, prompts and AI-related risks.

For those requirements, see Hararei's AI Security & Governance solution. The two approaches are complementary, but they address different parts of the security problem.