Prosecution Insights
Prosecution Insights
Technology area: Networking & Security
6 pending office actions • 2 art units • 5 examiners • 0 of 6 (0%) have an AI response strategy ready • 31 patents granted in the last 365 days
NetSkope Inc. maintains 6 pending office actions in the Networking & Security technology area. These actions are spread across 2 distinct art units, suggesting a focused technical footprint within the networking sector. The company works with 5 distinct examiners to advance these 6 pending office actions, indicating that most cases are handled by different individuals. This distribution requires a strategy that can accommodate multiple examiner perspectives within a few specialized technical groups.
DOAN, TRANG T is the busiest examiner for the portfolio, currently managing 2 pending office actions. This examiner's workload represents one-third of the 6 pending office actions. With 5 distinct examiners involved across only 2 distinct art units, the company faces multiple perspectives even within a relatively narrow set of USPTO technical groups. Practitioners should analyze the specific patterns of these 5 distinct examiners to ensure consistent results across the 2 distinct art units.
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 only | 1 (17%) |
| §103 only | 4 (67%) |
| Double-patenting only | 1 (17%) |
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 |
|---|---|---|---|
| DOAN, TRANG T | 2 | 83.0% | +16.8% |
| ZAIDI, SYED A | 1 | 81.9% | +12.2% |
| BROWN, ANTHONY D | 1 | 85.4% | +15.1% |
| DADA, BEEMNET W | 1 | 84.7% | +18.2% |
| LESNIEWSKI, VICTOR D | 1 | 58.5% | +55.3% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 4 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19219811 | REAL-TIME METADATA DRIVEN VIDEO DATA LOSS PREVENTION (vDLP) | BROWN, ANTHONY D | — |
| 19049881 | Vulnerability remediation based on priority of policies | DADA, BEEMNET W | — |
| 19030800 | CONTENT INSPECTION OF ENTERPRISE DATA | DOAN, TRANG T | — |
| 18750923 | DATA LOSS PREVENTION OF ENTERPRISE INFORMATION STORED ON A CLOUD COMPUTING SERVICE (CCS) | DOAN, TRANG T | — |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 1 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 19227190 | TRAINING A CUSTOMER-SPECIFIC DEEP LEARNING CLASSIFIER THAT DETECTS ON-PREMISE ORGANIZATION-SENSITIVE DATA | ZAIDI, SYED A | — |
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 6 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18582583 | INTROSPECTION DRIVEN BY INCIDENTS FOR CONTROLLING INFILTRATION | LESNIEWSKI, VICTOR D | 42d overdue |
| 19227190 | TRAINING A CUSTOMER-SPECIFIC DEEP LEARNING CLASSIFIER THAT DETECTS ON-PREMISE ORGANIZATION-SENSITIVE DATA | ZAIDI, SYED A | — |
| 19219811 | REAL-TIME METADATA DRIVEN VIDEO DATA LOSS PREVENTION (vDLP) | BROWN, ANTHONY D | — |
| 19049881 | Vulnerability remediation based on priority of policies | DADA, BEEMNET W | — |
| 19030800 | CONTENT INSPECTION OF ENTERPRISE DATA | DOAN, TRANG T | — |
| 18750923 | DATA LOSS PREVENTION OF ENTERPRISE INFORMATION STORED ON A CLOUD COMPUTING SERVICE (CCS) | DOAN, TRANG T | — |
| Art Unit | Apps |
|---|---|
| 2431 | 1 |
| 2493 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19227190 | TRAINING A CUSTOMER-SPECIFIC DEEP LEARNING CLASSIFIER THAT DETECTS ON-PREMISE ORGANIZATION-SENSITIVE DATA | ZAIDI, SYED A | — | §101Other | Non-Final OA | — | Pending | Jun 03, 2025 |
| 19219811 | REAL-TIME METADATA DRIVEN VIDEO DATA LOSS PREVENTION (vDLP) | BROWN, ANTHONY D | — | §103 | Non-Final OA | — | Pending | May 27, 2025 |
| 19049881 | Vulnerability remediation based on priority of policies | DADA, BEEMNET W | — | DP | Non-Final OA | — | Pending | Feb 10, 2025 |
| 19030800 | CONTENT INSPECTION OF ENTERPRISE DATA | DOAN, TRANG T | — | §103Other | Non-Final OA | — | Pending | Jan 17, 2025 |
| 18750923 | DATA LOSS PREVENTION OF ENTERPRISE INFORMATION STORED ON A CLOUD COMPUTING SERVICE (CCS) | DOAN, TRANG T | 2431 | §103Other | Final Rejection | — | Pending | Jun 21, 2024 |
| 18582583 | INTROSPECTION DRIVEN BY INCIDENTS FOR CONTROLLING INFILTRATION | LESNIEWSKI, VICTOR D | 2493 | §103 | Non-Final OA | 42d overdue | Pending | Feb 20, 2024 |
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