Technology area: Networking & Security
9 pending office actions • 8 art units • 9 examiners • 0 of 9 (0%) have an AI response strategy ready • 5 patents granted in the last 365 days
Irdeto B.V. is managing 8 pending office actions within the Networking & Security technology area. This portfolio shows a high degree of examiner diversity, with 8 distinct examiners assigned to the 8 pending office actions. This one-to-one ratio between actions and examiners suggests that the company must navigate eight different individual prosecution styles simultaneously. The workload is further distributed across 7 distinct art units, reflecting a broad technical scope within the networking sector.
TABOR, AMARE F is identified as the busiest examiner, currently holding 1 pending office action. Given that 8 distinct examiners are involved, the 1 pending office action assigned to TABOR, AMARE F represents only a small fraction of the total pending volume. The high count of 7 distinct art units for 8 pending office actions implies that nearly every application is being evaluated under a different set of art unit guidelines. Practitioners should be prepared for a highly decentralized prosecution environment where strategies must be customized for each of the 8 distinct examiners and the 7 distinct art units they represent.
Based on the USPTO statutory response window for each pending office action. 3 of the docket's apps have a known mailing date; the rest are excluded from the tile counts.
Every pending office action with a known statutory deadline, placed on a days-until-due axis. Dots left of Today are overdue; the further right, the more runway. Cases that share a deadline window stack vertically. 3 of the docket's apps have a known mailing date.
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 (11%) |
| §103 only | 4 (44%) |
| Multi-statute (no §101) | 4 (44%) |
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 |
|---|---|---|---|
| TABOR, AMARE F | 1 | 82.9% | +23.1% |
| HINTON, HENRY R | 1 | 74.1% | +34.8% |
| HALES, BRIAN J | 1 | 77.7% | +30.2% |
| ANDERSON, MICHAEL D | 1 | 80.1% | +15.1% |
| ZHANG, FAN | 1 | 55.3% | +16.2% |
| WILLIAMS, JEFFERY A | 1 | 83.6% | +9.2% |
| LAKHIA, VIRAL S | 1 | 87.6% | +19.9% |
| KNACKSTEDT, JACOB BENEDICT | 1 | 87.7% | +16.3% |
| LOPEZ, MIGUEL ALEXANDER | 1 | 6.1% | +10.0% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 3 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18577194 | PROTECTED DATA PACKAGES | ANDERSON, MICHAEL D | 15d overdue |
| 18917942 | Method and Apparatus for Plug and Charge Ecosystems with Multiple Service Providers | TABOR, AMARE F | — |
| 18240336 | METHOD AND APPARATUS FOR INCREASING THE SECURITY OF SOFTWARE CODE THROUGH EXECUTION PATH DIVERSITY | LAKHIA, VIRAL S | — |
Multi-statute / §101-driven matters, or cases in front of an examiner with an allow rate under 30%. The top 5 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18811634 | DIGITAL KEY CONTROL SYSTEM | HINTON, HENRY R | 31d overdue |
| 18227589 | PROTECTION OF NEURAL NETWORKS AGAINST CLONING ATTACKS | KNACKSTEDT, JACOB BENEDICT | 4d overdue |
| 18622460 | System and Method for Creating and Executing Secured Neural Networks | HALES, BRIAN J | — |
| 18368209 | MACHINE LEARNING MODEL PROTECTION | WILLIAMS, JEFFERY A | — |
| 18089273 | SYSTEMS, METHODS, AND STORAGE MEDIA FOR CREATING SECURED COMPUTER CODE | LOPEZ, MIGUEL ALEXANDER | — |
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 8 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18811634 | DIGITAL KEY CONTROL SYSTEM | HINTON, HENRY R | 31d overdue |
| 18577194 | PROTECTED DATA PACKAGES | ANDERSON, MICHAEL D | 15d overdue |
| 18227589 | PROTECTION OF NEURAL NETWORKS AGAINST CLONING ATTACKS | KNACKSTEDT, JACOB BENEDICT | 4d overdue |
| 18917942 | Method and Apparatus for Plug and Charge Ecosystems with Multiple Service Providers | TABOR, AMARE F | — |
| 18622460 | System and Method for Creating and Executing Secured Neural Networks | HALES, BRIAN J | — |
| 18380560 | IDENTIFYING WHETHER A SAMPLE WILL TRIGGER MISCLASSIFICATION FUNCTIONALITY OF A CLASSIFICATION MODEL | ZHANG, FAN | — |
| 18240336 | METHOD AND APPARATUS FOR INCREASING THE SECURITY OF SOFTWARE CODE THROUGH EXECUTION PATH DIVERSITY | LAKHIA, VIRAL S | — |
| 18089273 | SYSTEMS, METHODS, AND STORAGE MEDIA FOR CREATING SECURED COMPUTER CODE | LOPEZ, MIGUEL ALEXANDER | — |
| Art Unit | Apps |
|---|---|
| 2434 | 1 |
| 3665 | 1 |
| 2433 | 1 |
| 2682 | 1 |
| 2488 | 1 |
| 2431 | 1 |
| 2408 | 1 |
| 2496 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 18917942 | Method and Apparatus for Plug and Charge Ecosystems with Multiple Service Providers | TABOR, AMARE F | 2434 | §103 | Non-Final OA | — | Pending | Oct 16, 2024 |
| 18811634 | DIGITAL KEY CONTROL SYSTEM | HINTON, HENRY R | 3665 | §102§103 | Final Rejection | 31d overdue | Pending | Aug 21, 2024 |
| 18622460 | System and Method for Creating and Executing Secured Neural Networks | HALES, BRIAN J | — | §101§103§112 | Non-Final OA | — | Pending | Mar 29, 2024 |
| 18577194 | PROTECTED DATA PACKAGES | ANDERSON, MICHAEL D | 2433 | §103 | Non-Final OA | 15d overdue | Pending | Jan 05, 2024 |
| 18380560 | IDENTIFYING WHETHER A SAMPLE WILL TRIGGER MISCLASSIFICATION FUNCTIONALITY OF A CLASSIFICATION MODEL | ZHANG, FAN | 2682 | §103 | Final Rejection | — | Pending | Oct 16, 2023 |
| 18368209 | MACHINE LEARNING MODEL PROTECTION | WILLIAMS, JEFFERY A | 2488 | §102§103 | Final Rejection | — | Pending | Sep 14, 2023 |
| 18240336 | METHOD AND APPARATUS FOR INCREASING THE SECURITY OF SOFTWARE CODE THROUGH EXECUTION PATH DIVERSITY | LAKHIA, VIRAL S | 2431 | §103 | Non-Final OA | — | Pending | Aug 30, 2023 |
| 18227589 | PROTECTION OF NEURAL NETWORKS AGAINST CLONING ATTACKS | KNACKSTEDT, JACOB BENEDICT | 2408 | §103§112 | Non-Final OA | 4d overdue | Pending | Jul 28, 2023 |
| 18089273 | SYSTEMS, METHODS, AND STORAGE MEDIA FOR CREATING SECURED COMPUTER CODE | LOPEZ, MIGUEL ALEXANDER | 2496 | §103§112 | Final Rejection | — | Pending | Dec 27, 2022 |
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