Discover, protect, and govern sensitive data.
Data Protection goes beyond encryption. Discover where sensitive information lives across cloud and on-premises, classify it by risk, and enforce access controls that prevent exposure before attackers can exploit it.
You Can't Protect What You Can't See
Organizations store sensitive data across dozens of systems but lack visibility into where it lives, who accesses it, and whether it's properly protected. Compliance auditors ask where customer PII lives, and the honest answer is uncertainty.
You Don't Know Where Sensitive Data Lives
Organizations store customer data, intellectual property, financial information, and trade secrets across on-premises databases, cloud storage, SaaS applications, and backup systems but lack visibility into where sensitive information actually lives. Shadow IT and cloud sprawl hide sensitive data in unmanaged repositories. Compliance auditors ask where customer PII lives, and your answer is "we're not sure."
Classification Remains Manual and Incomplete
Data classification relies on metadata tags, naming conventions, or manual tagging by data owners. These approaches don't scale and introduce human error. Sensitive information gets misclassified or left unclassified, exposing it to standard access controls when it should be restricted. Compliance requirements demand proof that all sensitive data is classified; manual processes can't provide that assurance.
Encryption Is Piecemeal and Keys Are Scattered
Organizations encrypt some data at rest in some cloud regions using different key management approaches. Keys live in multiple places (AWS KMS, Azure Key Vault, HashiCorp Vault, on-premises HSMs), creating operational complexity and security gaps. Some data isn't encrypted at all because teams don't know encryption is required. Key rotation lapses create compliance violations.
Data Access Isn't Governed
Thousands of employees, contractors, and service accounts have standing access to sensitive data repositories. Access reviews happen quarterly or annually, are incomplete, and lack visibility into who actually accessed what data when. Compromised accounts can exfiltrate massive datasets before detection. GDPR right-of-access requests take weeks because you can't identify all systems holding a person's data.
6 Pillars of Data Protection
Each pillar addresses a critical dimension of data security. Together, they make sensitive data discoverable, classifiable, encrypted, governed, and protected against exfiltration.
Data Discovery and Inventory
Deploy discovery engines across cloud accounts, databases, file shares, and SaaS applications. We scan for sensitive data patterns, create a searchable inventory, and map data lineage from source to destination.
Classification and Tagging
Implement automated classification that labels data by sensitivity level and compliance scope. Classification rules apply to new data automatically; accuracy is maintained as data flows. Classification becomes deterministic.
Encryption Management
Design encryption strategy for data at rest and in transit across cloud providers and HSMs. We manage key rotation, separation of duties for key access, and audit logging of all key operations.
Data Access Governance
Build access control policies that grant least-privilege access, revoke access for departing employees immediately, and log all access attempts. Governance includes service accounts and APIs, not just human users.
Secrets Management
Deploy secrets vaults that manage API keys, database passwords, and authentication tokens. Secrets are rotated automatically, never stored in code, and access is audited.
DLP and Exfiltration Prevention
Configure data loss prevention policies that prevent copying sensitive data to personal cloud storage, emailing PII, or printing restricted files. Exfiltration attempts generate alerts for investigation.
From Scattered to Governed
Every organization starts somewhere. Our maturity model gives you a clear path from piecemeal encryption to proactive, automated data protection and compliance.
Scattered Encryption
Your organization encrypts sensitive data in some locations but lacks visibility into where sensitive information actually lives. Data classification is minimal or manual. Compliance teams rely on manual audits.
Data Assessment
- Sensitive data discovery scan
- Encryption gap identification
- Data protection roadmap
- Compliance readiness review
Discovery and Classification
You deploy data discovery that continuously scans your infrastructure and automated classification that tags sensitive data. Data inventory becomes searchable. You can answer "where is customer PII stored?" accurately.
Discovery Deployment
- Continuous infrastructure scanning
- Automated sensitivity tagging
- Searchable data inventory
- Regulated data encryption policies
Encryption and Governance
Encryption extends to all sensitive data with centralized key management. Access to sensitive data becomes governed: access requests require approval, reviews are automated, and you can audit who accessed what when.
Governance and Encryption
- Centralized key management
- Automated access reviews
- Data residency enforcement
- Full access audit trails
Proactive Protection
Sensitive data is discovered automatically, classified at ingestion, encrypted by default, governed by access policies, and protected against exfiltration. Compliance reporting becomes automatic with a single click.
Managed Data Protection
- Automated classification at ingestion
- Exfiltration prevention active
- One-click compliance reporting
- Continuous data topology awareness
Where Data Protection Delivers First
These are the three most common entry points for organizations building comprehensive data protection programs across their environments.
Healthcare Provider HIPAA Compliance
A hospital network manages patient records across 30+ locations, legacy EHR systems, and cloud imaging platforms. We deploy data discovery that finds PHI across all systems, classify medical records automatically, encrypt repositories, and implement access governance that limits clinician access to records needed for patient care. Quarterly audits that took 6 weeks now complete in 3 days.
- HIPAA audit passed with zero findings
- Data breach risk assessed and mitigated
- Audit timeline reduced from 6 weeks to 3 days
SaaS Company GDPR Data Subject Requests
An EU-serving SaaS platform receives 2,000+ GDPR right-of-access requests monthly. We implement data discovery that maps all repositories, classification that tags personal data, and a workflow that automatically identifies all data belonging to a subject, exports it securely, and generates compliance evidence. Response time improves from weeks to under 24 hours.
- 99% GDPR request SLA met consistently
- Zero compliance violations recorded
- Legal cost reduced by 80%
Financial Services API Key Incidents
A fintech company discovered database credentials and API keys hardcoded in application code and exposed on GitHub for months. We deploy secrets scanning, rotate exposed secrets automatically, and prevent future credential commits through pre-commit hooks. Emergency incident response completes in hours instead of days.
- Zero exposed credentials in codebase
- Zero incidents from stolen API keys
- Secrets rotated on weekly automated schedule
Explore Specific Engagements
These service pages detail the specific engagement types available within this program.
Know your data. Control your exposure.
Data Protection makes compliance automatic and breaches containable.
Schedule Data Assessment