Sherlocked Security – Privacy-Enhancing Technologies (PETs)

Safeguard Personal Data with Cutting-Edge Privacy-Enhancing Technologies

1. Statement of Work (SOW)

Service Name: Privacy-Enhancing Technologies (PETs) Implementation
Client Type: Enterprises, Healthcare Providers, Financial Institutions, Government Agencies
Service Model: Project-Based Deployment & Consulting
Compliance Alignment: GDPR, CCPA, HIPAA, NIST 800-53, ISO/IEC 27001, SOC 2

PETs Implementation Covers:

Evaluation of existing data privacy posture and identification of privacy risks
Implementation of PETs to enhance data protection while ensuring compliance with privacy regulations
Integration of PETs into data pipelines, analytics platforms, and storage systems
Application of anonymization, pseudonymization, differential privacy, and encryption techniques
Support for data sharing and collaboration while maintaining privacy
Monitoring and auditing of PETs implementation for ongoing compliance
Customization and tuning of PETs to specific organizational needs

2. Our Approach

[Privacy Assessment] → [PETs Selection] → [Implementation & Integration] → [Compliance Mapping] → [Testing & Validation] → [Ongoing Monitoring & Reporting]

3. Methodology

Privacy Assessment:
- Conduct a comprehensive review of your organization’s data processing activities and privacy practices.
- Identify key privacy risks and regulatory requirements that impact your business (e.g., GDPR, CCPA, HIPAA).
- Map sensitive data flows and assess current privacy controls to highlight areas for improvement.
PETs Selection:
- Evaluate and select appropriate PETs that align with your data processing needs.
- Options include:
- Data Anonymization: Removing personally identifiable information (PII) while maintaining data utility for analysis.
- Data Pseudonymization: Replacing PII with artificial identifiers to protect data during processing.
- Differential Privacy: Adding noise to datasets to prevent identification of individuals while maintaining aggregate insights.
- Homomorphic Encryption: Encrypting data in a way that allows computation on encrypted data without decryption.
- Secure Multi-Party Computation (SMPC): Enabling secure data sharing and collaboration between multiple parties without exposing raw data.
Implementation & Integration:
- Deploy PETs in alignment with data architecture (on-premises, cloud, hybrid environments).
- Ensure integration with existing data systems, such as databases, big data platforms, and analytics tools.
- Implement privacy-preserving features in data sharing, reporting, and business intelligence applications.
Compliance Mapping:
- Ensure that PETs align with regulatory requirements (e.g., GDPR’s requirement for pseudonymization and anonymization).
- Map the implementation of PETs to specific data processing activities to meet compliance objectives.
- Ensure data subject rights (e.g., data access, rectification, erasure) are respected and automated where possible.
Testing & Validation:
- Test the effectiveness of PETs through privacy impact assessments (PIAs) and data protection assessments.
- Validate that implemented technologies successfully mitigate privacy risks and meet regulatory requirements.
- Conduct vulnerability assessments and penetration testing to ensure the security of privacy-enhancing implementations.
Ongoing Monitoring & Reporting:
- Set up continuous monitoring for compliance with privacy regulations and data protection laws.
- Automate reporting and auditing for transparency and accountability.
- Provide ongoing optimization and updates to PETs to ensure long-term effectiveness.

4. Deliverables to the Client

Privacy Assessment Report: A detailed report identifying privacy risks, gaps in controls, and areas for improvement in the organization’s data processing activities.
PETs Implementation Plan: A step-by-step plan outlining the deployment of privacy-enhancing technologies, including timelines, tools, and integration points.
Regulatory Compliance Mapping: A mapping of PETs implementations to relevant regulatory requirements (GDPR, CCPA, HIPAA, etc.).
Privacy Impact Assessment (PIA): A document assessing the impact of the implemented PETs on privacy and identifying any residual risks.
Implementation & Testing Reports: Documentation of the integration, configuration, and testing results for each PET deployed.
Continuous Monitoring Dashboard: A dashboard for monitoring compliance, tracking privacy risks, and ensuring ongoing adherence to privacy principles.

5. What We Need from You (Client Requirements)

Data Flow Diagrams: Detailed diagrams illustrating how data is collected, stored, processed, and shared across the organization.
Current Privacy Policies: Existing privacy policies, procedures, and guidelines related to data processing.
Regulatory Documentation: Documentation of applicable privacy laws and compliance requirements (e.g., GDPR, CCPA).
Data Inventory: A list of sensitive data types, data owners, and where the data is stored or processed.
Stakeholder Interviews: Access to data owners, security teams, legal, and compliance officers to ensure alignment with privacy goals.

6. Tools & Technology Stack

Data Privacy Tools:
- Varonis, OneTrust, BigID, Forcepoint
Anonymization & Pseudonymization:
- ARX Data Anonymization Tool, DataMasker, K-anonymity
Homomorphic Encryption:
- IBM HELib, Microsoft SEAL, Hale
Differential Privacy:
- Google Differential Privacy, OpenDP, PySyft
Secure Multi-Party Computation (SMPC):
- Sharemind, FairSwap, MPC-ETH
Compliance & Risk Management:
- Tenable.io, Qualys, NIST CSF Tools, Vera

7. Engagement Lifecycle

Kickoff & Scoping: Initial meeting to define privacy goals, regulatory needs, and scope of the project.
Privacy Risk Assessment: Review current privacy posture and identify risks in data handling processes.
PETs Selection & Design: Select appropriate PETs to mitigate identified risks and meet privacy objectives.
Implementation & Integration: Deploy PETs and integrate with existing infrastructure and data systems.
Testing & Validation: Conduct tests to ensure that privacy goals are met, and compliance requirements are satisfied.
Compliance Mapping & Reporting: Align the deployment with privacy regulations and generate necessary reports.
Ongoing Monitoring & Optimization: Set up continuous monitoring, provide ongoing support, and optimize PETs based on evolving needs.

8. Why Sherlocked Security?

Feature	Sherlocked Advantage
Comprehensive Privacy Solutions	Expertise in a wide range of PETs (anonymization, encryption, SMPC, etc.)
Regulatory Expertise	In-depth knowledge of privacy laws like GDPR, CCPA, and HIPAA
End-to-End Integration	Seamless deployment and integration with your existing systems
AI & ML-Driven Privacy	Utilization of cutting-edge AI and ML for differential privacy and anonymization
Ongoing Privacy Protection	Continuous monitoring and auditing for long-term compliance and privacy preservation

9. Real-World Case Studies

Healthcare Provider – Protecting Patient Data with PETs

Client: A healthcare organization managing sensitive health information (PHI).
Findings: PHI was at risk during data analysis, which could expose patient identities.
Outcome: Implemented differential privacy and pseudonymization to safeguard patient identities while enabling secure data analysis for research.

Financial Institution – Enhancing Data Sharing Privacy

Client: A multinational bank needed to securely share data with external partners.
Findings: Existing methods exposed sensitive financial data during the sharing process.
Outcome: Deployed homomorphic encryption and secure multi-party computation (SMPC) to allow data sharing without exposing raw financial data, ensuring compliance with financial regulations.

10. SOP – Standard Operating Procedure

Initial Privacy Assessment: Review current privacy and data protection policies.
Risk Identification: Map data flows and identify privacy risks in current processing activities.
PETs Selection: Select appropriate PETs to mitigate privacy risks and align with regulatory requirements.
Implementation: Deploy chosen PETs and integrate them into the existing IT architecture.
Validation & Testing: Conduct testing and validation to ensure privacy goals are met and compliance is achieved.
Ongoing Monitoring: Set up ongoing monitoring and reporting for privacy risks and compliance.
Training & Handover: Provide documentation and training for internal teams on the use and maintenance of PETs.

11. PETs Implementation Readiness Checklist

1. Pre-Implementation Preparation

[ ] Review of current data handling and privacy policies
[ ] Data flow diagrams and inventory of sensitive data
[ ] Relevant regulatory compliance documentation (e.g., GDPR, HIPAA)
[ ] Stakeholder interviews (data owners, legal, compliance teams)

2. During Engagement

[ ] Select and configure appropriate PETs (e.g., anonymization, encryption)
[ ] Deploy PETs into existing infrastructure and ensure seamless integration
[ ] Conduct privacy impact assessments and data protection assessments

3. Post-Implementation Actions

[ ] Monitor ongoing compliance with privacy regulations
[ ] Generate regular privacy compliance reports and dashboards
[ ] Conduct periodic testing and audits to ensure continued effectiveness of PETs
[ ] Update and optimize PETs based on evolving privacy risks and regulations

Privacy-Enhancing Technologies