Overview

Transforming the data privacy program in tandem to the increasing growth and evolving regulatory demands, Ahlan empowered a leading Gulf region bank and transformed its data privacy program. The highlights of this case study rest on the challenges the bank faced in safeguarding sensitive personal and financial data while meeting Qatar’s stringent data protection requirements. Employing Securiti.AI, Ahlan automated crucial privacy processes, executed extensive data discovery activities, and accomplished over 500 processes. All of this was achieved within just four months—establishing a strong governance framework.

The outcome of this initiative displayed a strengthened compliance, enhanced data governance, and improved efficiency in managing personal information. This was a demonstration of how technology can drive meaningful change in addressing complex data privacy challenges across the financial sector.

Key Challenges

The Client, a leading financial institution in the Gulf region, has witnessed significant growth in recent years, fueled by a rapidly expanding customer base and advancing market demands. With the increasing strictness of the data privacy rules, the Client recognized the immediate need to bolster its data privacy program to protect sensitive information and ascertain ongoing compliance.

The Client encountered these challenges:

  • Labour- intensive Processes: Operations were faced with setbacks in time- management, scalability and vulnerability to mistakes as a result of heavy reliance on manual methods for identifying, classifying, and managing personal data.
  • Weak Governance: The absence of strong governance frameworks for handling personal data created compliance risks and limited the bank’s ability to demonstrate adherence to regulatory requirements.
  • Incomplete Data Mapping: Lack of comprehensive visibility into the data landscape resulted in partial data mapping and classification, making it difficult to evaluate the impact of data processing activities on individual privacy rights.

 

Img

The Ahlan Approach

The bank’s unique requirements were adeptly addressed with Ahlan deploying Securiti.AI, an end-to-end data privacy platform. Ahlan designed a tailored approach after an in-depth understanding of the client’s operational environment and regulatory obligations. This dually aided in resolving the immediate challenges as well as building a scalable and resilient framework for long-term data privacy management.

Key solution components included:

  • Automated Data Identification & Classification: Leveraged advanced algorithms and machine learning to automatically identify and classify personal data across multiple sources.
  • Governance Framework: Personal data management and regulatory compliance was proficiently handled with the established robust policies, procedures, and controls to strengthen governance.
  • Data Mapping & Integration: Data mapping, covering data flows, repositories, and processing activities of the bank’s existing system was integrated seamlessly.
  • Impact Assessments (DPIAs): Equipped the bank with tools to conduct Data Protection Impact Assessments, helping evaluate risks and implement safeguards for data processing activities.
  • Extensive Data Discovery: Provided comprehensive visibility into operations with the analysis of over 500 processes to uncover data flows, dependencies, and usage patterns.
  • ROPA Awareness Program: Conducted a Rights of Personal Data Owners (ROPA) awareness program to enhance employee understanding of data privacy responsibilities.
  • Achieving Data Completeness: Incomplete processes and closed data gaps, ensuring a holistic and accurate view of the bank’s data landscape, were addressed.
Img

Key Outcomes of the Implementation

  • Clear Data Identification: A vivid distinction was achieved between personal and non-personal data across its systems, creating greater clarity and transparency.
  • Strengthened Data Governance: Laid the foundation of a robust governance framework which assured improved oversight and control of personal data processing activities.
  • Regulatory Compliance: The bank established stronger alignment with regulatory compliances with the automation of critical privacy processes, significantly reducing compliance risks and potential penalties.
  • Holistic Data Visibility: Presenting a comprehensive view of the bank’s data ecosystem, the solution enabled informed decision-making and proactive risk management.
  • Operational Efficiency: Automation drove substantial efficiency improvements, allowing resources to be redirected toward strategic initiatives and higher-value activities.

The Components of Securiti

Assessment automation

Case studies scenario
Case studies scenario
Case studies scenario

Ahlan and Privacy

Ahlan is a trusted partner for businesses seeking end-to-end data privacy and protection. Its comprehensive suite of consulting, services, and advanced tools covers everything from data discovery and risk assessments to incident response, all tailored to each organization’s unique needs. By staying ahead of evolving privacy regulations and industry standards, Ahlan helps enterprises strengthen resilience, prevent breaches, and minimize regulatory risks—cementing its reputation as a leader in safeguarding business privacy.