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Implementation engagement · configuration validated after deployment

Data Protection

Safeguard your most sensitive information from breaches and unauthorized access with comprehensive data protection strategies.

Core requirements under Law 25 and most Canadian & international privacy frameworks
deployment-healthcheck · sample.pdf
CONFIDENTIAL REPORT

Data protection health check - sample

Post-deployment
Encryption enforced97%
On track29 / 30
DLP policy coverage82%
On track41 / 50
Backup jobs succeeding100%
On track14 / 14
Restore actually tested36%
2 gaps5 / 14
4 findings flagged for remediation View full report →
Restore tests, not just backup jobs a succeeded backup job is not proof of recovery
Why this matters

A backup job that succeeds isn’t a backup you can trust.

Encryption, DLP, and backup solutions all report success by default - the question that matters is whether they hold up when tested, not whether the dashboard shows a green checkmark.

Encryption with gaps

A new data store or export path added after go-live can quietly fall outside the encryption policy.

DLP rules that don’t fire

A DLP policy tuned for one file type or channel may miss sensitive data leaving through another.

Backups nobody has restored

A backup job succeeding every night tells you nothing about whether the restore will actually work.

Classification that ages poorly

Data sensitivity labels applied once rarely get revisited as new data is created.

What sets this apart

We test the restore, not just the backup job.

We don’t just deploy your encryption, DLP, and backup solutions - we go back and validate that they’re enforced end-to-end, actually run a restore test instead of trusting a green checkmark, and hand you a specific action for anything that fails.

  • Encryption - confirmed enforced end-to-end, including data stores added after go-live.
  • DLP policies - tested against real file types and channels, not just the ones in the original scope.
  • Backup restores - actually performed and timed, not assumed from a successful job log.
  • Data classification - spot-checked against newly created data, not just the original inventory.
sample validation findings
High
A restore test of the finance database backup failed silently for 3 consecutive weeks.
Fix the restore path immediately and add restore-success alerting, not just job-success alerting.
High
A new customer export file share added last quarter is not covered by the encryption policy.
Bring the share under the encryption policy and add new-resource onboarding as a checklist item.
Medium
The DLP policy does not scan file uploads to the newer collaboration platform.
Extend DLP coverage to the platform and validate with a controlled test upload.
Low
A dataset created 4 months ago was never tagged with a sensitivity classification.
Classify the dataset and add it to the recurring classification review.
Implementation scope

What this covers

Data Classification

Categorize and tag data based on sensitivity and compliance requirements to apply appropriate security controls and access policies.

Data Loss Prevention (DLP)

Implement advanced solutions to monitor, detect, and prevent sensitive data from leaving your organization’s control, whether intentionally or accidentally.

Data Encryption

Utilize robust encryption methods to protect data at rest and in transit, ensuring confidentiality and integrity across all platforms.

Secure Backup & Recovery

Establish resilient backup procedures and disaster recovery plans to ensure critical data is always available and can be quickly restored after an incident.

Works with what you have

Built around your regulatory obligations.

Data classification and access controls are core requirements under Law 25 and most other Canadian and international privacy frameworks.

Law 25 Data classification DLP Encryption at rest & in transit
How we deliver it

From discovery to tested recovery.

01

Assessment & Discovery

Analyze your existing data landscape, identify sensitive information across systems, and assess current data protection measures and risks.

02

Classification & Policy Definition

Categorize data based on sensitivity and regulatory requirements (e.g. PII, confidential), and define granular policies for its handling, storage, and access.

03

Implementation & Enforcement

Deploy Data Loss Prevention (DLP) solutions, implement encryption for data at rest and in transit, and configure robust access controls and secure backup systems.

04

Continuous Monitoring & Audit

Monitor data access, movement, and usage for anomalous activities or policy violations, and conduct regular audits to ensure ongoing compliance.

05

Optimization & Incident Response

Regularly refine data protection strategies, provide expert incident response for data breaches, and ensure rapid, secure recovery of compromised data.

What’s included, at a glance.

5
Delivery phases, start to finish
4
Security domains covered
1
Recommended restore test cadence, per year
100%
Configuration validated post-deployment

Frequently asked questions

Does this help with Law 25 compliance?
Yes - data classification and access controls are core requirements under Law 25 and most other Canadian and international privacy frameworks.
Will DLP block legitimate business activity?
We tune DLP policies against your real workflows before enforcing them broadly, to avoid false positives disrupting your team.
How often should backups be tested?
A backup you have never tested restoring is not a backup you can rely on. We recommend testing restoration at least annually, and set up that cadence as part of this engagement.

Know where your sensitive data lives - and who can reach it.

Let’s talk about your current data protection measures.