Why does this remain a problem?
Sensitive data spread across S3, databases, SaaS, and endpoints, with no updated inventory or real exposure map
LGPD on paper: manual data subject processes that delay, create operational risk, and expose the company to regulatory fines
Inconsistent encryption: data protected in one environment, exposed in another, with no centralized policy
Cloud with critical data and no posture visibility: public buckets, excessive access, and misconfigurations nobody monitors
Our approach to Data Shield
Privacy ops from mapping to fulfillment
DSPM, DSR automation, consent, cookies, and privacy ops integrated from data mapping to data subject fulfillment, with evidence ready for the DPO and legal team.
Protection in the data, not just the perimeter
Encryption and tokenization in use, in transit, and at rest. The data stays protected even outside the controlled perimeter, regardless of the KMS or HSM platform adopted.
Cloud posture visibility
Integrated CSPM to detect misconfigurations in AWS, Azure, and GCP before they become incidents, with prioritization by business risk, not just technical severity.
Operational compliance, not declarative
We deliver compliance that works day to day: automated DSR, updated data map, impact report, and evidence for audits.
Offerings within Data Shield
Each service can be contracted independently or as part of a structured program.
Data Discovery
Know where your data is before someone else finds it first.
- Automated multi-environment scanning
- Classification by sensitivity and risk
- Real-time updated inventory
DSPM
Real-time data risk score, not an annual report.
- Continuous posture with real-time detection
- Exposure and shadow data detection
- Prioritization by business impact
Encryption / KMS / HSM
Data protected at rest, in transit, and in use, even outside your perimeter.
- Tokenization and persistent encryption
- Managed KMS and HSM
- Persistent protection beyond the perimeter
DLP
Prevent sensitive data from leaving through the wrong channel, without disrupting operations.
- Endpoint, email, and web coverage
- Policies by type and sensitivity
- Alerts with context and evidence
Consent & Privacy
Privacy compliance that works day to day, not just on paper.
- Automated DSR with defined SLA
- Consent and cookie management
- Evidence ready for regulatory audits
CSPM
Find the cloud misconfiguration before it becomes a headline.
- AWS, Azure, and GCP coverage
- Guided remediation playbooks
- Alerts prioritized by real impact
Platforms we work with
Companies that trust Evernow
FAQ
Frequently asked questions about Data Shield
DSPM (Data Security Posture Management) is VISIBILITY: discovers, classifies and maps where sensitive data lives (cloud, SaaS, databases). DLP is CONTROL: blocks active exfiltration (email, USB, web upload). DSPM tells you what exists; DLP acts when someone tries to take it where it shouldn't go. The two are complementary.
LGPD doesn't require specific tools, but it requires PROOF of compliance. Minimum stack: Data Discovery + Classification (Securiti, Microsoft Purview), Consent Management (Securiti, OneTrust), Encryption at-rest and in-transit (cloud-native KMS), auditable logs. For large companies: continuous DSPM + DLP + Privacy Ops automation.
Combination of: (1) DSPM with SaaS connectors for inventory, (2) Cloud DLP (Microsoft Purview, Forcepoint) for egress control, (3) CASB for access policies, (4) DPA contracts with vendors. Securiti.ai covers 100+ SaaS natively.
Yes, but requires specific tech: TEE (Intel SGX, AMD SEV), Confidential Computing (Azure CC, GCP Confidential VMs), homomorphic encryption (partial — only basic arithmetic today), data tokenization (more mature — OpenText Voltage). We assess cost/benefit case by case.
2026 ranges for a mid-sized company (100-500 employees): R$ 150-350k for the initial project (3-6 months) + R$ 8-25k/month for continuous operations. Includes DSPM (Securiti), DLP (Purview or Forcepoint), encryption (Voltage or KMS), DPO as a Service, and ANPD monitoring.
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