Safeguard sensitive data with classification, encryption, DLP, and retention controls integrated into platform and developer workflows.
Our Data Protection practice starts with discovery — finding sensitive data before an adversary does. We map your data flows, classify assets by sensitivity and regulatory impact, and implement the technical controls that enforce your policies automatically rather than relying on manual diligence.
We design data protection as an engineering problem, not a policy exercise. The controls we implement — encryption, DLP, retention, and access governance — integrate directly into your platforms and pipelines so protection is inherent to how data flows, not bolted on afterward.
Automated scanning across structured and unstructured stores to find sensitive data you didn't know you had.
Encryption at rest and in transit across all data stores, with centralized key management and automated rotation.
Policy-driven DLP across endpoints, email, cloud storage, and egress to stop unauthorized data movement.
GDPR and CCPA compliance built into data flows, consent management, and subject-request workflows from day one.
Data discovery, classification, and governance frameworks that identify sensitive data, define handling requirements, and enforce policy through automation.
Encryption for all sensitive data — database, file system, object storage, and transport layers — with centralized key management and rotation.
DLP policies across endpoints, email, cloud storage, and network egress to detect and prevent unauthorized data movement.
Backup architectures with immutable copies, offsite replication, and validated recovery procedures that meet your RTO/RPO objectives.
Personal data flow mapping, consent management, data subject request workflows, and processing activity documentation for privacy regulation compliance.
Scan structured and unstructured data stores to locate sensitive data — PII, PHI, PCI — and map data flows.
Define classification tiers and labeling scheme aligned to regulatory requirements and business sensitivity.
Implement encryption at rest and in transit across all data stores, with centralized KMS and automated key rotation.
Configure DLP policies across endpoints, email, and cloud egress to detect and block unauthorized data movement.
Implement GDPR/CCPA consent management, data subject request workflows, and privacy impact assessments.