Privacy Engineering
Equationz treats privacy as engineering discipline, delivering measurable privacy capabilities through code, testing, and monitoring.
Engineering Services
- Privacy Code Reviews & Secure Development: Static analysis for privacy violations, dynamic privacy testing, secure coding standards
- Privacy Testing Automation: Contract testing for privacy APIs, fuzzing for PII leakage, privacy regression testing suites
- Privacy Design Pattern Library: Curated, production-tested implementations of authentication, consent management, data isolation patterns
- Privacy Observability & Metrics: Real-time privacy dashboards, compliance KPI tracking, automated audit trail generation
Technology Stack: Open Policy Agent (OPA) for policy-as-code, privacy linters integrated into IDEs, Prometheus/Grafana for privacy metrics.
Assessment – Privacy Risks, Threats, and Violations
Organizations face complex privacy threats across data lifecycles. Equationz identifies, models, and mitigates these risks through comprehensive technical assessments and remediation.
Core Services
- Privacy Threat Modeling Workshops: Systematic identification of privacy threats using STRIDE-for-Privacy and data flow diagramming across entire system architectures
- Data Lifecycle Vulnerability Assessment: Complete mapping of data flows from collection through deletion, identifying privacy risks at each stage
- Privacy Incident Response Planning: Technical implementation of detection, response, and recovery capabilities for privacy breaches
- Behavioral Tracking Audits: Analysis and remediation of tracking technologies, fingerprinting, and cross-site tracking implementations
Technical Deliverables: Threat model documentation, risk heatmaps, automated vulnerability scanning configurations, incident response playbooks with SIEM integrations.
Strategies – Privacy-Enhancing Techniques, and Technologies
Equationz deploys production-grade privacy-enhancing technologies that balance utility with protection.
Implementation Services
- Enterprise IAM & Access Control: Zero-trust identity architectures with just-in-time, just-enough access using AWS IAM, Okta, or Azure AD
- End-to-End Encryption Strategies: Data classification → encryption key management → HSM deployment → automated key rotation
- Data Minimization Frameworks: Automated data retention policies, PII detection at ingestion, and dynamic data purging workflows
- Privacy-Preserving Analytics: Differential privacy implementations, k-anonymity for reporting, secure multi-party computation pipelines
Privacy by Design
Privacy by Design transforms compliance from afterthought to architecture principle. Equationz operationalizes PbD across product development lifecycles.
Methodology & Implementation
- Privacy-Embedded SDLC: Integration of privacy gates into CI/CD pipelines, automated privacy requirements validation
- Privacy Requirements Engineering: Technical specification of privacy controls as enforceable requirements with test cases
- Privacy Architecture Patterns: Reference implementations of data minimization, purpose limitation, and user control patterns
- Product Privacy Roadmaps: Multi-year technical roadmaps aligning business objectives with privacy maturity
Equationz PbD Maturity Model with 5 levels from “Ad-Hoc Compliance” to “Privacy-First Architecture.”
Technical Differentiators
1. Knowledge Graph Privacy Engine
- Automated data lineage mapping using Neo4j
- Privacy impact propagation analysis across data relationships
- Real-time PII discovery and classificationtstc
2. Cloud-Native Privacy Controls
- Infrastructure-as-Code for privacy compliance (Terraform/CloudFormation)
- AWS Config rules for continuous privacy monitoring
- Multi-account privacy governance automation
3. AI/ML Privacy Specialization
- Model cards with privacy risk assessments
- Federated learning architectures
- Synthetic data generation pipelines for privacy-preserving training
Engagement Model
1. Assessment (2-4 weeks)
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2. Architecture Design (4-6 weeks)
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3. Implementation Sprints (8-12 weeks)
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4. Validation & Hardening (4 weeks)
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5. Training & Knowledge Transfer (2 weeks)
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6. Managed Services (Ongoing)
Typical ROI: 60-75% reduction in privacy remediation costs, 40% faster compliance audits, 3x improvement in privacy incident detection time
Contact Equationz for a Privacy Engineering Assessment tailored to your technology stack and regulatory requirements. Schedule a 30-minute discovery call to map your privacy maturity against privacy best practices.