Technology area: Networking & Security
3 pending office actions • 1 art units • 3 examiners • 0 of 3 (0%) have an AI response strategy ready • 11 patents granted in the last 365 days
Arctic Wolf Networks, Inc. currently manages 3 pending office actions within the Networking & Security technology area. This portfolio is concentrated in a distinct art unit, suggesting a narrow technical focus for their current patent applications. The workload is distributed across distinct examiners, indicating that each examiner is handling a single pending action for the company. This distribution across examiners within a single art unit provides a consistent environment for the active matters currently pending.
LWIN, MAUNG T is identified as the busiest examiner for this portfolio, with 1 pending office action assigned. Because the total number of pending office actions matches the number of 3 distinct examiners, the prosecution burden is evenly spread across the individuals reviewing these Networking & Security filings. The presence of the distinct art unit for all active matters suggests that the company is focusing its intellectual property efforts on a specific technical niche. The involvement of LWIN, MAUNG T in the Networking & Security portfolio ensures that this specific matter is handled by the busiest examiner.
Based on the USPTO statutory response window for each pending office action. 1 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
Difficulty is derived from the rejection statutes on the most recent pending office action. §101-driven and multi-statute cases are graded Hard; §112-only and obviousness-type double-patenting cases are graded Easy; everything else is Medium. "Unknown" means we have not yet parsed a statute for that office action.
| Bucket | Cases |
|---|---|
| §101 + other | 1 (33%) |
| §103 only | 1 (33%) |
| Multi-statute (no §101) | 1 (33%) |
How the docket's pending cases split across USPTO tech-center bands.
Manual office-action response work runs about 10 hours per case. The time-saved bands below show what IP Author's prosecution pipeline typically delivers — a conservative 20% on the low end, 35% in the middle, 50% on the high end.
| Examiner | Apps on this docket | Allow rate | Interview lift |
|---|---|---|---|
| LWIN, MAUNG T | 1 | 88.9% | +21.8% |
| WILCOX, JAMES J | 1 | 70.1% | +61.2% |
| SHINGLES, KRISTIE D | 1 | 82.1% | +13.5% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18787380 | CYBERSECURITY AI-DRIVEN WORKFLOW MODIFICATION | SHINGLES, KRISTIE D | 1d overdue |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 2 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19206239 | CYBERSECURITY THREAT DETECTION AND MITIGATION CLASSIFICATION SYSTEM | LWIN, MAUNG T | — |
| 19206337 | TECHNOLOGIES FOR AUTOMATED PREDICTIVE CURATION OF CONTEXTUALIZATION STEPS FOR INVESTIGATING A SECURITY INCIDENT | WILCOX, JAMES J | — |
Cases in front of an examiner whose interview lift is 10 percentage points or more — i.e. interviewed cases historically resolve more favorably than non-interviewed ones. The top 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18787380 | CYBERSECURITY AI-DRIVEN WORKFLOW MODIFICATION | SHINGLES, KRISTIE D | 1d overdue |
| 19206239 | CYBERSECURITY THREAT DETECTION AND MITIGATION CLASSIFICATION SYSTEM | LWIN, MAUNG T | — |
| 19206337 | TECHNOLOGIES FOR AUTOMATED PREDICTIVE CURATION OF CONTEXTUALIZATION STEPS FOR INVESTIGATING A SECURITY INCIDENT | WILCOX, JAMES J | — |
| Art Unit | Apps |
|---|---|
| 2453 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19206239 | CYBERSECURITY THREAT DETECTION AND MITIGATION CLASSIFICATION SYSTEM | LWIN, MAUNG T | — | §102§112 | Non-Final OA | — | Pending | May 13, 2025 |
| 19206337 | TECHNOLOGIES FOR AUTOMATED PREDICTIVE CURATION OF CONTEXTUALIZATION STEPS FOR INVESTIGATING A SECURITY INCIDENT | WILCOX, JAMES J | — | §101§103 | Non-Final OA | — | Pending | May 13, 2025 |
| 18787380 | CYBERSECURITY AI-DRIVEN WORKFLOW MODIFICATION | SHINGLES, KRISTIE D | 2453 | §103 | Final Rejection | 1d overdue | Pending | Jul 29, 2024 |
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