Processing Activity: Usage Data, Audit Logs, and Device/Connection Data Processing
Legal Basis: Article 6(1)(f) UK GDPR - Legitimate Interest
Assessment Date: 2 September 2026
Legal Basis: Article 6(1)(f) UK GDPR - Legitimate Interest
Assessor: Pogo Kid Limited (Data Controller)
Status: Approved

1. Introduction

This Legitimate Interest Assessment (LIA) evaluates the lawful basis for processing usage data, audit logs, and device/connection data under Article 6(1)(f) of the UK GDPR. It ensures that our legitimate interests in processing this data for security monitoring, abuse prevention, and service improvement do not override the rights and freedoms of data subjects.

This assessment is required by Article 6(1)(f) which states that processing is lawful if it is necessary for the purposes of the legitimate interests pursued by the controller or by a third party, except where such interests are overridden by the interests or fundamental rights and freedoms of the data subject which require protection of personal data.


2. Processing Overview

2.1 Data Types Processed

Data Category Specific Data Elements Purpose
Usage Data Feature usage patterns, system interactions, navigation paths Service improvement, debugging, performance optimisation
Audit Logs Timestamps, user actions, resource access, administrative events Security monitoring, compliance, incident investigation
Device/Connection Data IP address, browser type and version, device type, user agent Security monitoring, abuse prevention, server error diagnosis

2.2 Processing Context

  • Controller: Pogo Kid Limited (trading as Soniq Studio)
  • Data Subjects: Platform users (Customers), including account holders and administrators
  • Processing Activities: Collection, storage, analysis, and retention of technical and usage metadata
  • Retention Periods:
    • Application and server error logs: Up to 90 days
    • Audit logs: Duration of active account plus up to 1 year (for compliance demonstration)
    • Device/connection metadata: Session duration only (not stored long-term)

2.3 Third-Party Involvement

  • Grafana Cloud (United Kingdom): Server log aggregation, performance traces, audit logs
  • Scaleway (France, EU): Cloud hosting and log storage
  • Cloudflare (US): Connection metadata processing (reverse proxy, DDoS protection) - covered by EU-U.S. Data Privacy Framework and UK Extension

Note: No behavioural analytics, advertising tracking, or third-party data sharing occurs. All processing is first-party and service-essential.


3. Purpose Test

3.1 Identified Purposes

We process usage data, audit logs, and device/connection data for the following legitimate purposes:

  1. Security Monitoring

    • Detect and prevent unauthorised access attempts
    • Identify and respond to security incidents
    • Monitor for suspicious activity patterns
    • Maintain system integrity and protect against attacks
  2. Abuse Prevention

    • Identify and block malicious actors
    • Prevent service abuse (e.g., API abuse, spam)
    • Detect and mitigate automated attacks (DDoS, brute force)
    • Protect platform availability for all users
  3. Service Improvement

    • Diagnose server errors and application failures
    • Identify performance bottlenecks and optimisation opportunities
    • Understand usage patterns to improve user experience
    • Debug and resolve technical issues reported by users

3.2 Purpose Assessment

Purpose Lawful? Justification
Security Monitoring ✅ Yes Essential for protecting user data and system security; aligns with our duty to implement appropriate technical measures (Article 32 UK GDPR)
Abuse Prevention ✅ Yes Necessary to maintain service availability and protect all users from malicious activity; proportional to the risk
Service Improvement ✅ Yes Necessary for maintaining and enhancing service quality; directly benefits users through improved reliability and performance

Conclusion: All identified purposes are lawful and legitimate business interests that directly benefit our users and protect their data.


4. Necessity Test

4.1 Necessity Analysis

We must demonstrate that no less intrusive method can achieve the same purposes effectively.

4.1.1 Security Monitoring

Method Effectiveness Intrusiveness Feasibility
Current: Device/connection data + audit logs High - Comprehensive threat detection Medium - Minimal personal data (IP, user agent) ✅ Feasible
Alternative: No monitoring ❌ None - Unable to detect security incidents Low ❌ Not feasible
Alternative: Pseudonymised only ⚠️ Partial - Loses ability to trace specific threats Low ❌ Reduces effectiveness
Alternative: Sampling only ⚠️ Partial - Misses intermittent threats Low ❌ Creates security gaps

Assessment: Full device/connection data is necessary for effective threat detection and incident response. Pseudonymisation would prevent us from correlating events to specific sessions, severely limiting our ability to investigate security incidents.

4.1.2 Abuse Prevention

Method Effectiveness Intrusiveness Feasibility
Current: IP + device fingerprinting High - Effective at identifying repeat offenders Medium ✅ Feasible
Alternative: IP-only ⚠️ Partial - Easily bypassed with VPNs/proxies Medium ⚠️ Less effective
Alternative: Rate limiting only ⚠️ Partial - Doesn’t prevent sophisticated abuse Low ⚠️ Limited scope
Alternative: User reporting only ❌ None - Reactive, not preventive Low ❌ Not feasible for prevention

Assessment: Device and connection data combined with IP addresses provides the most effective abuse prevention. Rate limiting alone is insufficient as it doesn’t address all abuse vectors.

4.1.3 Service Improvement

Method Effectiveness Intrusiveness Feasibility
Current: Usage + error logs High - Enables proactive issue resolution Medium - Technical metadata only ✅ Feasible
Alternative: User reports only ❌ None - Reactive, incomplete information Low ❌ Not feasible for proactive improvement
Alternative: Synthetic monitoring ⚠️ Partial - Doesn’t capture real user issues Low ⚠️ Misses user-specific problems
Alternative: Aggregated only ⚠️ Partial - Loses individual error context Low ⚠️ Reduces debugging capability

Assessment: Individual error logs and usage patterns are necessary to diagnose specific issues affecting particular users. Aggregated data alone would prevent us from resolving individual user problems.

4.2 Proportionality Check

We apply the principle of data minimisation (Article 5(1)(c) UK GDPR):

  • IP addresses: Stored only temporarily for security purposes, hashed where possible
  • User agent strings: Contains only technical device/browser information, no personal identifiers
  • Audit logs: Limited to actions on sensitive resources, not all user activity
  • Usage data: Focused on system interactions, not content or personal preferences
  • Retention: Strict limits applied (90 days for error logs, 1 year max for audit logs)

Conclusion: The data processed is proportionate and necessary - no less intrusive method can achieve the identified purposes effectively.


5. Balancing Test

5.1 Controller’s Legitimate Interests

Interest Weight Justification
Protect user data from breaches 🔴 Very High Legal obligation under Article 32; fundamental to user trust
Maintain service availability 🔴 Very High Business continuity; affects all users
Prevent fraud and abuse 🟠 High Protects user experience and platform integrity
Improve service reliability 🟠 High Directly benefits users through better experience
Comply with security obligations 🔴 Very High Legal and contractual requirements

5.2 Data Subject’s Rights and Freedoms

Right/Freedom Impact Level Mitigation
Right to privacy (Article 7, 8 Charter) 🟡 Medium Data minimisation, strict retention limits, no profiling
Right to data protection (Article 8 Charter) 🟡 Medium Encryption, access controls, security measures
Right to be forgotten (Article 17) 🟢 Low Automated deletion after retention periods; manual deletion on request
Right to object (Article 21) 🟡 Medium Users can request processing restriction; necessary for vital interests
Freedom from discrimination 🟢 Low No automated decision-making; human review required
Freedom of expression 🟢 Low Processing doesn’t affect content or communication

5.3 Safeguards Implemented

We implement the following technical and organisational measures to protect data subject rights:

5.3.1 Data Minimisation

  • Only essential technical metadata is collected (IP, user agent, timestamps, action types)
  • No content data, personal communications, or behavioural profiles are processed for these purposes
  • Audit logs are limited to sensitive resource access only

5.3.2 Purpose Limitation

  • Data is strictly scoped to the identified purposes (security, abuse prevention, improvement)
  • No secondary processing for marketing, analytics, or profiling
  • Access to logs is role-based and audited

5.3.3 Storage Limitation

  • Error logs: Automatically deleted after 90 days
  • Audit logs: Deleted after account closure + 1 year (or sooner if not needed for compliance)
  • Device data: Not stored long-term; processed in real-time for security decisions

5.3.4 Security Measures

  • Encryption in transit (TLS 1.2+) and at rest (LUKS2 AES-256)
  • Role-based access controls with least privilege
  • No routine access to logs by administrators
  • Regular security audits and penetration testing

5.3.5 Transparency

  • Clear disclosure in Privacy Policy (Section 4.4)
  • No hidden or undocumented processing
  • Users can request their data or processing details

5.3.6 Data Subject Rights

  • Right to access: Users can request their audit log entries
  • Right to rectification: Users can correct inaccurate log data (where applicable)
  • Right to erasure: Data deleted after retention periods or on valid request
  • Right to object: Users can object; processing may continue if necessary for security/legal reasons

5.4 Reasonable Expectations

Data subjects can reasonably expect that:

  • A service provider will monitor for security threats
  • Technical metadata will be logged for debugging purposes
  • Abuse prevention measures will be in place to protect all users
  • Such processing will be conducted with appropriate safeguards

5.5 Balancing Outcome

Controller’s Interests:

  • Very High (x3) + High (x2) = Weighted Score: 9-10/10

Data Subject’s Rights:

  • Medium (x4) + Low (x2) = Weighted Score: 3-4/10

Net Assessment: The controller’s legitimate interests significantly outweigh the impact on data subject rights, given the comprehensive safeguards in place.


6. Risk Assessment

6.1 Privacy Risks Identified

Risk Likelihood Impact Risk Level Mitigation
Unauthorised access to logs Low Medium 🟡 Low-Medium Encryption, access controls, audit trails
Data breach from logs Low Medium 🟡 Low-Medium Security measures, minimisation
Function creep (secondary use) Low High 🟡 Low-Medium Purpose limitation, governance
Individual identification from IP Medium Low 🟢 Low Temporary storage, aggregation where possible
Long-term retention Low Medium 🟡 Low-Medium Automated deletion, retention policy

6.2 Residual Risk

After applying all safeguards, the residual privacy risk is LOW.


7. Conclusion

7.1 Three-Test Summary

Test Result Confidence
Purpose Test ✅ Pass High
Necessity Test ✅ Pass High
Balancing Test ✅ Pass High

7.2 Final Determination

The processing of usage data, audit logs, and device/connection data under Article 6(1)(f) UK GDPR is LAWFUL.

  • Purpose: Clear, legitimate purposes (security, abuse prevention, improvement)
  • Necessity: No less intrusive method achieves these purposes
  • Balancing: Controller’s interests outweigh data subject rights given safeguards

7.3 Conditions for Lawful Processing

This assessment is valid subject to the following conditions being maintained:

  1. Data minimisation continues to be applied (only necessary metadata collected)
  2. Retention periods are not extended beyond those stated
  3. Security measures remain in place and are regularly reviewed
  4. No secondary processing occurs (no marketing, analytics, or profiling)
  5. Transparency is maintained (privacy policy updated as needed)

8. Review and Maintenance

8.1 Review Schedule

This LIA will be reviewed:

  • Annually (or sooner if significant changes occur)
  • Following any data breach involving these data types
  • Following regulatory guidance changes on legitimate interest
  • Following new processing purposes being identified

8.2 Change Log

Version Date Changes Assessor
1.0 2026-09-02 Initial assessment Pogo Kid Limited

8.3 Approval

Approved by: Pogo Kid Limited (Data Controller)

Approval Date: 2 September 2026

Next Review Date: 2 September 2027


  • UK GDPR Article 6(1)(f): Processing necessary for legitimate interests
  • UK GDPR Article 5(1)(c): Data minimisation principle
  • UK GDPR Article 32: Security of processing
  • UK GDPR Recital 47: Legitimate interest of the controller
  • ICO Guidance: Lawful basis - Legitimate interests (ico.org.uk)