Kunal Malhotra

Data Privacy & Vendor Risk Mitigation

Airport Authority

  • Industry: Airlines & Aviation Sector
  • Size: 5,000+
A comprehensive data privacy & vendor risk mitigation engagement to address a major data breach, ensuring compliance with PIPEDA.

Project Requirements

  • Identify & classify sensitive data based on its level of confidentiality & regulatory requirements.
  • Evaluate vendor security posture & ensure compliance with internal policies & regulatory frameworks.
  • Develop a risk-based approach to mitigate future breaches & enhance data privacy controls.

Overview

The organization experienced a significant data breach affecting both customer & employee data due to vulnerabilities in its third-party vendor network. As part of their compliance with PIPEDA, a structured approach was required to assess the extent of vendor-related risks, understand data outsourcing practices, & enhance data privacy & cybersecurity controls. The project aimed to provide actionable insights to mitigate risks, ensure compliance, & strengthen the organization’s data governance framework.

Challenge

The organization faced multiple challenges:

  • Data Breach Impact: A substantial data breach linked to improper handling of sensitive data by third-party vendors created immediate risks to reputation, legal compliance, & customer trust.
  • Lack of Data Classification: There was no clear classification of sensitive data, particularly Personal Identifiable Information (PII) & Personal Health Information (PHI), which further complicated risk assessments.
  • Vendor Risk Management: The organization lacked a robust process for evaluating the security posture of its vendors, leaving gaps in understanding their compliance with both internal policies & regulatory standards.

Approach & Methodology

  • Discovery Phase: The first step was to identify all vendors & assess the type of data being outsourced. This phase involved extensive internal interviews & documentation reviews to map the flow of data & establish a clear understanding of the data landscape.
  • Data Classification: A critical component of the engagement was to categorize the data into sensitive categories (PII & PHI). This classification provided a clear picture of what data was at risk & helped prioritize the security measures accordingly.
  • Network Traffic Analysis: By examining outbound network traffic, the team identified high-frequency data exchanges with vendors, which were essential for pinpointing high-risk areas in data handling & exposure.
  • Risk Prioritization & Severity Model: A severity model was developed to prioritize vendor risk assessments based on the nature of the data being exchanged & the potential impact of a breach. This helped direct resources to the most pressing risks.
  • Stakeholder Interviews: Engaging with internal stakeholders allowed the team to verify the operations being carried out with the outsourced data, ensuring alignment with vendor contracts & regulatory compliance.
  • Vendor Engagement & Compliance Check: After classifying the data, the team initiated direct discussions with key vendors to assess their data handling practices, security measures, & alignment with internal policies & industry regulations.
  • Security Posture Assessment: A thorough evaluation of each vendor’s cybersecurity & data privacy controls was conducted. This involved reviewing their compliance with regulatory requirements such as PIPEDA, & assessing the maturity of their security practices.
  • Breach Analysis & Gap Identification: A forensic analysis traced the breach back to a small group of vendors, enabling the team to identify gaps in security controls & the specific vulnerabilities that led to the data leak.

Deliverables

  • Data Classification Framework: A comprehensive report detailing how sensitive data is categorized across the vendor network, along with a clear distinction between PII, PHI, & other data types.
  • Vendor Risk Assessment: Detailed assessment of each critical and in scope vendor’s security posture, including an evaluation of their compliance with internal policies & relevant regulatory frameworks.
  • Risk Prioritization Report: Severity model to prioritize risk mitigation actions based on data sensitivity & breach potential.
  • Breach Impact Analysis: A thorough investigation into the breach, including time stamps, data flows, & specific vendor involvement, along with recommendations to close identified security gaps.
  • Compliance Roadmap: Set of actionable recommendations to enhance data privacy controls & ensure future compliance with PIPEDA, including strategies for improving vendor management & data security practices.

Outcome

Each deliverable provided the organization with a structured, data-driven path forward to address its immediate concerns while positioning the organization for long-term success in data privacy & vendor risk management.

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