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New article published:
Pseudonymization After SRB/Deloitte, Part 2: Re-Identification Is Now an Engineering Test

The article looks at why pseudonymization and de-identification can no longer be treated as legal labels alone.

The real question is whether re-identification is reasonably likely, considering the data, the recipient, auxiliary datasets, available technology, cost, time, controls, and the lifetime of the data.

I cover:
SRB/Deloitte and recipient-specific identifiability
CNIL’s recent IQVIA decision in France
LLM deanonymization and why unstructured text is risky
why free-text data can remain identifying after redaction
quantum computing as a future risk to cryptographic separation
what a defensible de-identification evidence pack should include

Main point:
Pseudonymization is a control. It is not a conclusion.

Read the full article and practical guidelines to apply the engineering test: https://aesirx.io/blog/aesirx/pseudonymization-after-srb-deloitte-part-2-re-identification-is-now-an-engineering-test

Pseudonymization After SRB/Deloitte: Re-Identification Is an Engineering Test Pseudonymization is not anonymity. Learn how SRB/Deloitte, CNIL/IQVIA, GDPR Recital 26, LLMs, and quantum risk turn re-identification into an engineering test.

A company can have a privacy policy, a vendor list, a risk spreadsheet, and a compliance manager who knows where everything is stored.

❓ Then the questions arrive.

A regulator asks when a data subject request was received and whether the deadline was met. A bank asks for control evidence before onboarding. An enterprise customer asks for proof before procurement. An auditor asks who approved the last risk acceptance.

Suddenly the question isn't "do we have compliance documents?"

It's "can we reconstruct the truth?"

That gap, between having compliance material and being audit-ready, is what this week's article is about.

We break down 5 operational maturity markers that separate organizations with policies from organizations that can survive inspection:
1️⃣ Obligations mapped to operational records
2️⃣ Ownership assigned before deadlines arrive
3️⃣ Evidence captured during the work, not after
4️⃣ Deadlines managed as regulatory workflows
5️⃣ Decision lineage preserved, especially when AI is involved

Audit readiness doesn't mean being perfect. It means being coherent enough to show your gaps, own them, and prove what you're doing about them.

🔗 Full article: https://aesirx.io/blog/compliance-one/building-an-audit-ready-organization-the-5-operational-maturity-markers

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Building an Audit-Ready Organization: 5 Operational Markers What makes an organization audit-ready? Learn five maturity markers for compliance, governance, evidence management, and accountability.