Zero Trust Data Protection
Zero trust for data means assuming that network and infrastructure controls will eventually be bypassed. Data must protect itself. Anubiz Engineering implements data-centric security: classification-driven encryption, per-tenant encryption keys, access-based key management, and data loss prevention controls that protect sensitive data even if the surrounding infrastructure is compromised.
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Data Classification and Inventory
Protection starts with knowing what you have. We implement data classification: PII, financial data, health data, credentials, and business-confidential content are identified and tagged. Automated scanning discovers sensitive data in databases, object storage, and configuration files. Classification labels drive encryption, access, and retention policies — sensitive data gets stronger protection automatically.
Encryption Architecture
We implement envelope encryption with customer-managed keys (CMK). Data is encrypted with a data encryption key (DEK), and the DEK is encrypted with the CMK stored in a KMS (AWS KMS, GCP Cloud KMS, or HashiCorp Vault). Different data classifications use different key hierarchies. Enterprise customers get dedicated CMKs, enabling cryptographic tenant isolation. Key rotation happens automatically without re-encrypting existing data.
Access-Based Decryption
Encryption keys are released only to authorized services for authorized operations. The database service can decrypt customer data but the logging service cannot. Decryption is logged — every key usage event records which service decrypted which data and why. This creates a cryptographic audit trail: even if someone copies the encrypted database, they cannot decrypt it without the key, and key access is tightly controlled and monitored.
Data Loss Prevention
We configure DLP controls at data exit points: API responses are scanned for sensitive data leakage (credit card numbers, SSNs, API keys in logs), file uploads are scanned for classification-restricted content, and email/messaging integrations are monitored for data exfiltration. DLP rules are tailored to your data classification — blocking or masking sensitive data before it leaves the protected environment.
Why Anubiz Engineering
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