Data discovery & mapping
Identify where personal and sensitive data is stored or processed across services such as Amazon S3, RDS, DynamoDB, backups and application logs.
Ghaim helps organizations engineer the cloud controls that support Saudi Personal Data Protection Law requirements across data discovery, security, retention, access and auditability.
Saudi Arabia’s PDPL and its Implementing Regulations place obligations on organizations that process personal data. Ghaim focuses on the cloud implementation layer: where data lives, how it is protected, how access is controlled, how activity is logged and how data lifecycle requirements can be operationalized on AWS.
Identify where personal and sensitive data is stored or processed across services such as Amazon S3, RDS, DynamoDB, backups and application logs.
Design technical lifecycle controls that reduce unnecessary collection, limit retention and automate deletion or archival where the approved policy requires it.
Use IAM, KMS, network controls, logging, secrets management and threat detection to support organizational, administrative and technical security measures.
Design application and data workflows that can support approved requests for access, correction, deletion or export without relying on ad-hoc database work.
Centralize logs, findings and incident-response signals so potential personal-data incidents can be investigated and escalated according to the organization’s PDPL process.
Architect storage, replication, backups and integrations with awareness of Saudi data-residency decisions and the PDPL rules governing personal-data transfers outside the Kingdom.
We connect privacy requirements with the systems that actually store, move and expose data. The objective is an AWS platform where privacy controls are engineered into architecture and operations rather than documented separately from them.
Map data stores, processing paths, system owners, access patterns and integrations so the technical data footprint is understood.
Use tagging, discovery capabilities such as Amazon Macie where appropriate, encryption and scoped access to reduce exposure of sensitive datasets.
Provide the architecture, data-flow, security and risk inputs needed for the organization’s documented personal-data processing impact assessments when required by the PDPL regulations.
Implement lifecycle policies, application workflows and backup strategies that support approved retention schedules and deletion requirements.
Use CloudTrail, Config, Security Hub, GuardDuty and centralized logs to improve traceability, investigation and evidence around access and security events.
The exact architecture depends on the workload and approved privacy program, but common building blocks include AWS-native services across identity, encryption, discovery, logging and lifecycle management.
Least privilege, role separation, federated access and account-level guardrails.
Encryption keys, controlled key access and secure application secrets.
Discover and help classify sensitive data in Amazon S3 where Macie fits the data landscape.
Trace API activity and continuously record configuration state for auditability.
Centralize security findings and detect suspicious activity across AWS accounts and workloads.
Apply encryption, retention, backup and lifecycle patterns that align with approved data handling requirements.
Ghaim has a dedicated AWS Marketplace professional-services offering focused on PDPL readiness, data-flow mapping, privacy impact assessment support, data-subject workflows and technical protection of personal data on AWS.
PDPL compliance is broader than cloud configuration. On AWS, Ghaim helps implement the technical and operational controls around personal-data storage, access, encryption, logging, retention, deletion, incident visibility and data flows that support the organization’s PDPL program.
No. Data location can be an important architectural decision, but PDPL compliance also depends on how personal data is collected, processed, retained, shared, secured and governed. The organization remains responsible for its legal and operational obligations.
We can provide the technical data-flow, architecture, security and risk analysis that supports a documented impact assessment and can help structure the assessment process. Final legal interpretation and approval should remain with the organization’s privacy and legal functions.
We can design workflows and data-access patterns that help applications locate, export, correct or delete personal data according to an approved business process, rather than relying on manual database changes.
AWS services such as IAM, KMS, CloudTrail, Config, Security Hub, GuardDuty, Macie and private networking can support technical security, access control, auditability and detection. The exact services depend on the workload and data classification.
We can map technical data flows, replication, backups and integrations and design architectures around the organization’s approved transfer approach. Whether a transfer is legally permitted and which safeguards are required must be determined under the PDPL transfer rules by the customer’s legal/privacy advisers.
Start with your scope, current architecture and regulatory requirements. We will map the technical work, evidence and operating model needed for a practical remediation plan.