Data Privacy & Security

Privacy by Design.
Security by Default.

From Privacy Impact Assessments and data flow documentation to Cloudflare Zero Trust deployment and AI privacy engineering — we build the technical and operational infrastructure that keeps your data protected and your organization compliant.

What We Do

End-to-End Privacy & Security, Technically Implemented

Privacy compliance without technical depth is just documentation. We go further — building the systems, configurations, and controls that make your privacy posture real and defensible.

01
Assessment

Privacy Impact Assessments

A structured evaluation of how personal data flows through your systems, where it's collected, processed, stored, and shared — and what risks that creates. Our PIAs go beyond checkbox compliance to identify gaps that regulators and plaintiffs look for, and produce actionable remediation roadmaps tied to specific technical controls.

GDPR Art. 35 DPIAs HIPAA Risk Analysis CCPA Gap Assessment Vendor Risk Review Remediation Roadmap
02
Documentation

Data Flow Mapping & Diagrams

You cannot protect what you cannot see. We document every data flow in your environment — from intake to storage to third-party transmission — producing structured diagrams and records of processing activities (RoPAs) that satisfy regulatory requirements and give your engineering and legal teams a shared source of truth.

Data Flow Diagrams RoPA Documentation Third-Party Mapping Data Inventory Retention Schedules
03
Technical Security

Security Architecture & Implementation

Documentation is only half the work. We design and implement the technical controls that make your security posture real — encryption at rest and in transit, access control frameworks, secrets management, network segmentation, and secure-by-default infrastructure configurations built to pass audits and withstand real threats.

Encryption (AES-256 / TLS) IAM & RBAC Secrets Management Network Segmentation Hardening & Baselines
04
Edge Security

Cloudflare Security Suite

Cloudflare is among the most powerful security platforms available, and most organizations use less than 20% of its capabilities. We configure and manage the full suite — WAF, Zero Trust Network Access, DLP, Bot Management, and Access policies — so your perimeter is defended at every layer, from edge to origin.

Cloudflare WAF Zero Trust / ZTNA DLP Rules Bot Management Access Policies SSL/TLS Hardening
05
AI & Emerging Tech

AI Privacy Engineering

AI systems introduce novel privacy risks — training data exposure, inference attacks, model inversion, and opaque automated decision-making. We help organizations design and implement AI pipelines with privacy engineering controls built in: differential privacy, data minimization, consent architecture, and audit logging for automated decisions subject to GDPR Article 22 or the EU AI Act.

Differential Privacy Training Data Review Inference Attack Mitigation AI Act Compliance Automated Decision Logging Consent Architecture
06
Governance & Response

Privacy Program & Incident Response

A privacy program is only as strong as the processes behind it. We build the operational infrastructure — privacy notices, consent management, DSR workflows, breach notification procedures, and staff training — so your organization can respond to a regulator's inquiry or a breach event without scrambling.

Privacy Notices Consent Management DSR / DSAR Workflows Breach Notification Staff Training DPO Advisory
Edge Infrastructure

The Full Cloudflare Stack, Properly Configured

Most deployments barely scratch the surface of what Cloudflare can do. We implement the complete security layer — WAF rules tuned to your threat profile, Zero Trust access replacing legacy VPN architecture, DLP policies that inspect and block sensitive data in real time, and Bot Management that distinguishes legitimate traffic from automated attacks without degrading user experience.

The result is an organization-wide security perimeter that operates at the edge — before threats ever reach your infrastructure.

Cloudflare Security Stack
Layer 1 — Edge
Web Application Firewall (WAF)
OWASP rule sets, custom threat signatures, rate limiting, and managed rulesets tuned to your application profile and traffic patterns.
Layer 2 — Access
Zero Trust Network Access
Identity-aware access policies replacing VPN. Every request authenticated and authorized — no implicit trust based on network location.
Layer 3 — Data
Data Loss Prevention (DLP)
Inline inspection and policy enforcement that detects and blocks transmission of PII, credentials, and sensitive data patterns at the network edge.
Layer 4 — Traffic
Bot Management & DDoS
Machine-learning bot scoring, challenge-based mitigation, and autonomous DDoS absorption — protecting availability without friction for real users.
Layer 5 — Transport
SSL/TLS Hardening & HSTS
TLS 1.3 enforcement, HSTS preloading, certificate lifecycle management, and cipher suite hardening that eliminate downgrade attack vectors.
01 Discovery

Data Discovery & Inventory

We begin by understanding what data you have, where it lives, and how it moves. This involves a structured interview process with your technical and operational teams, a review of your current architecture, and automated scanning where applicable to surface data stores and flows that may not be formally documented.

Stakeholder interviews across engineering, legal, and ops
Architecture review and system diagramming
Third-party and vendor data sharing inventory
Data sensitivity classification and tagging
02 Assessment

Risk Assessment & PIA

With a complete data map in hand, we conduct a formal Privacy Impact Assessment — evaluating each processing activity against applicable legal bases, identifying risks to data subjects, and scoring controls against regulatory requirements. The output is a prioritized findings report and remediation plan with specific technical and procedural recommendations.

Legal basis analysis for each processing activity
Risk scoring against GDPR, HIPAA, and CCPA frameworks
Prioritized remediation roadmap with technical specifics
Regulator-ready documentation package
03 Implementation

Technical Controls Deployment

Findings don't fix themselves. We implement the technical controls identified in the assessment — configuring Cloudflare, hardening infrastructure, deploying encryption, building consent mechanisms, and instrumenting audit logging. Every control is documented, tested, and validated against the relevant regulatory standard before sign-off.

Cloudflare WAF, Zero Trust, and DLP configuration
Encryption and key management implementation
Consent and preference center deployment
Audit logging and monitoring instrumentation
04 Ongoing

Monitoring & Maintenance

Privacy and security posture degrades as systems change. We offer ongoing monitoring and advisory retainers that keep your controls current — reviewing new processing activities, updating data flow documentation as your stack evolves, managing Cloudflare rule updates, and ensuring you stay ahead of regulatory developments in the jurisdictions that matter to your organization.

Continuous Cloudflare rule and policy management
Quarterly privacy program reviews
Regulatory change monitoring and impact analysis
Incident response support and breach notification
Regulatory Coverage

We Work Across Every Major Framework

Whether you're a healthcare organization navigating HIPAA, a tech company under GDPR and CCPA, or a financial services firm facing FTC Safeguards — we understand the specific technical requirements each framework demands and how to implement them.

GDPR EU General Data Protection Regulation — Articles 25, 32, 35
CCPA California Consumer Privacy Act & CPRA Amendments
HIPAA Health Insurance Portability & Accountability Act — Security Rule
SOC 2 Service Organization Control 2 — Type I & II Readiness
NIST NIST Cybersecurity Framework 2.0 & Privacy Framework
FTC FTC Safeguards Rule — Financial Services Security Requirements
AI Act EU AI Act — High-Risk System Requirements & DPIA Integration
ISO 27001 Information Security Management System — Readiness & Gap Analysis
AI Privacy Engineering

Privacy Controls Built Into AI Systems

AI systems don't inherit privacy controls from the rest of your stack — they require their own. Training datasets carry PII into model weights. Inference endpoints can expose sensitive patterns. Automated decisions trigger legal obligations under GDPR and the EU AI Act.

We design and implement privacy engineering controls at every stage of the AI pipeline, from data collection and preprocessing through model deployment and output monitoring — so your AI capabilities are both technically sound and legally defensible.

Differential Privacy Data Minimization Model Auditing Inference Attack Defense Explainability Logging Synthetic Data Generation EU AI Act Article 9 Bias Assessment
privacy-audit — ai-pipeline
$run privacy-scan --target pipeline/training
Scanning training dataset for PII...
⚠ Found: 1,204 email addresses in training corpus
⚠ Found: Unmasked SSNs in 3 data fields
Running differential privacy analysis...
Epsilon: 2.4 → recommended ε ≤ 1.0
$apply --remediation auto --mask pii
Applying PII masking and tokenization...
Adjusting noise multiplier: 1.1 → 1.4
✓ PII scrubbed — 1,207 records cleaned
✓ Epsilon adjusted: ε = 0.87 — compliant
✓ Audit log written — GDPR Art. 22 compliant
$generate-pia-addendum --framework gdpr-art35
✓ DPIA addendum generated — pipeline cleared
Get Started

Ready to Build a Privacy Program That Holds Up?

Whether you need a first-time Privacy Impact Assessment, a Cloudflare deployment, or end-to-end AI privacy engineering, we'll scope an engagement tailored to your environment and regulatory obligations.