Automate custom PII detection at scale with Amazon Macie and Step Functions
Your applications, claims processing systems, partner data feeds, and internal workflows produce files that may include names, addresses, Social Security numbers, and domain-specific identifiers such as policy numbers, member IDs, and medical record numbers. Identifying and classifying this sensitive data is a compliance imperative. Regulations such as GDPR, HIPAA, CCPA, and PCI DSS require you to know where PII resides, who can access it, and how it is protected.
- ▪Your applications, claims processing systems, partner data feeds, and internal workflows produce files that may include names, addresses, Social Security numbers, and domain-specific identifiers such as policy numbers, member IDs, and medic
- ▪Identifying and classifying this sensitive data is a compliance imperative.
- ▪Regulations such as GDPR, HIPAA, CCPA, and PCI DSS require you to know where PII resides, who can access it, and how it is protected.
AWS Architecture Blog files mainly under programming. We currently carry 6 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →
Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | AWS Architecture Blog |
| Canonical URL | https://aws.amazon.com/blogs/architecture/automate-custom-pii-detection-at-scale-with-amazon-macie-and-step-functions/ |
| Publication time | Wed, 22 Jul 2026 13:30:26 +0000 |
| Retrieval time | 2026-07-26T10:01:46.596Z |
| Last seen | 2026-07-26T10:01:46.596Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | qn4Qlid4nFlq |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Automate custom PII detection at scale with Amazon Macie and Step Functions by Aishwariya Khiani, Ashish Jain, and Karthik Chemudupati on 22 JUL 2026 in Amazon Macie, AWS Step Functions Permalink Share Organizations in regulated industries like financial services, insurance, healthcare, and government ingest large volumes of data containing personally identifiable information (PII). Your applications, claims processing systems, partner data feeds, and internal workflows produce files that may include names, addresses, Social Security numbers, and domain-specific identifiers such as policy numbers, member IDs, and medical record numbers. Identifying and classifying this sensitive data is a compliance imperative.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at AWS Architecture Blog.