Regulatory Standards · Saudi PDPL

PDPL compliance you can evidence.

Saudi PDPL compliance, connected to the data it is designed to protect.

Astragar GRC and Data Risk Management connect PDPL obligations to your actual data, systems, vulnerabilities and controls, with native discovery of Arabic and English personal data.

Arabic + English
Sensitive and personal data discovery
72h
To notify SDAIA of a personal data breach
SAR 5M
Maximum fine per violation, doubled for repeat offences

What PDPL requires

The obligations are clear. The data behind them usually isn't.

Breach notification
Notify SDAIA within 72 hours of becoming aware of a breach, and inform data subjects where harm is likely.
Penalties
Fines up to SAR 5 million per violation, doubled for repeat offences. Unlawful disclosure of sensitive data can carry criminal penalties.
Data Protection Officer
Required for public entities and for controllers processing sensitive data or monitoring individuals at scale.
Data subject rights
Individuals can access, correct and request destruction of their personal data. You must know where it sits to honour them.

Beyond the checklist

Not just
“Are we compliant?”

A checklist says a control exists. Astragar shows what data it protects, and where you remain exposed.

01Where is our personal data?
02What is protecting it?
03Where are the gaps?
04Which gaps create the greatest exposure?
05What evidence proves the risk is managed?

Two capabilities, one evidence layer

Find the data. Map the obligation.

DATA RISK MANAGEMENT
Know where your personal data is, in Arabic and English.
Where personal data is stored
What sensitive information is present
Who has access to it
How it is protected
Where exposure exists

No need for business data to be in English. Move from a policy view of PDPL to an operational view of the data itself.

GRC
Map every PDPL requirement to controls and evidence.
Identify the applicable PDPL obligation
Map it to security and privacy controls
Link controls to systems, assets and processes
Collect and maintain supporting evidence
Find missing or ineffective controls
Track remediation and ownership

Continuously maintained

Requirement
→
Control
→
Evidence
→
Gap
→
Remediation

Compliance, connected to the data

One PDPL obligation, traced all the way to risk.

01
PDPL obligation
Protect personal data from unauthorised access
02
Data discovery
Identify personal and sensitive data, including Arabic-language content
03
Systems & assets
Determine where that data is stored and processed
04
Controls
Map the technical and organisational controls protecting those systems
05
Vulnerabilities & gaps
Find weaknesses that could expose the underlying data
06
Evidence
Maintain evidence of how the data is being protected
07
Risk
Prioritise remediation by business and financial impact

Built for Saudi organisations

Regulated organisations operating in the Kingdom.

Banks & fintech
SAMA-regulated firms layering PDPL onto existing cyber frameworks.
Insurers & brokers
Policyholder data at scale, held across core and partner systems.
Healthcare
Health data is sensitive data, with the highest breach impact.
Multinationals in KSA
Arabic and English data spread across group systems.

Find the data. Test the controls. Reduce the risk.

Start with a scoped PDPL data risk assessment: personal data discovered, controls mapped, gaps prioritised by business and financial impact, evidence ready to share.

Book a PDPL data risk assessment

Astragar supports PDPL compliance programmes with technical evidence and risk analysis. It does not provide legal advice.

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