Clustered 2 filings across 2 jurisdictions · filed May 23, 2024. View entity profile → Other incidents for this victim →
incident inc_9378ec78b98e4054 · merge_method deterministic · confidence 100%
Discovered → first regulatory filing
Range of discovered_at dates across filings
Identity (basic) · Government ID
Time between earliest and latest filing
Not recorded for this incident
Leak precedence · Materiality delta · SEC filing delay — no leak-site claim in this cluster; no SEC 8-K in this cluster.
ME NH
all State AG
Earliest sighting first · deep chronology in Litigation Timeline
Apr 10, 2024
When the intrusion reportedly occurred, per the linked filings
Apr 10, 2024
Reported by MAINE AG, NEW HAMPSHIRE AG filings
Pentegra Services, Inc. experienced an inadvertent disclosure on April 10, 2024, which was discovered the same day. The breach affected one resident of Maine, exposing their name and Social Security number. The company began notifying the affected individual on May 21, 2024, and offered 24 months of identity theft protection services through Experian IdentityWorks.
Affected (this filing): 1
Pentegra Services, Inc. notified the New Hampshire Attorney General on May 23, 2024, of a data security incident discovered on April 10, 2024. An employee inadvertently sent a census file containing one New Hampshire resident's personal information to an unintended HR representative. The recipient destroyed the file. Pentegra offered complimentary credit monitoring via Experian IdentityWorks.
Affected (this filing): 1
About this clustering
DisclosureLens links filings into incidents through layered matchers: deterministic rules (same source document, multistate filings of one breach, tight-window same-victim pairs), a weighted-similarity scorer for cross-source candidates, and an operator review queue for everything uncertain. Each link records its own method and confidence — shown per filing in the timeline below. The system defaults to NOT merging when uncertain, because a false merge (collapsing two unrelated breaches) is more harmful than a false split (showing related filings separately); uncertain pairs route to human review instead of auto-merging. Filing summaries shown in the timeline are AI-generated extracts — verify each against its linked source.