Technology area: Networking & Security
5 pending office actions • 2 art units • 2 examiners • 0 of 5 (0%) have an AI response strategy ready • 5 patents granted in the last 365 days
Avalor Technologies, Ltd. has 5 pending office actions in the Networking & Security technology area. These actions are concentrated among 2 distinct examiners. This level of concentration is also reflected in the 2 distinct art units assigned to the company's matters.
POUDEL, SAMIKSHYA NMN is the busiest examiner, managing 4 of the 5 pending office actions. This means the examiner is responsible for most of the company's current pending actions. For practitioners, this creates a focal point for prosecution strategy. Success with the examiner and within the 2 distinct art units will largely determine the overall success of the company's current patenting efforts. The count of 2 distinct examiners allows for a targeted and consistent advocacy approach. Practitioners can leverage insights gained from the applications to inform the strategy for others, as the 2 distinct art units likely share similar examination standards. This concentration is a feature for maintaining a unified legal front across the 5 pending office actions. The 4 actions under review by POUDEL, SAMIKSHYA NMN represent a significant portion of the active portfolio.
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 (20%) |
| §101 + other | 2 (40%) |
| Multi-statute (no §101) | 2 (40%) |
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 |
|---|---|---|---|
| POUDEL, SAMIKSHYA NMN | 4 | 53.6% | +78.9% |
| NANO, SARGON N | 1 | 80.8% | -1.5% |
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 |
|---|---|---|---|
| 18940065 | Cloud Unified Vulnerability Management Generating Unified Cybersecurity Signals from Multiple Sources | POUDEL, SAMIKSHYA NMN | 61d |
| 19305126 | Misconfiguration Detection and Prevention in a Data Fabric | POUDEL, SAMIKSHYA NMN | — |
| 19205683 | Automated Mapping of Raw Data into a Data Fabric | POUDEL, SAMIKSHYA NMN | — |
| 19170332 | Exposure and Attack Surface Management Using a Data Fabric | POUDEL, SAMIKSHYA NMN | — |
| 18672456 | Techniques for continuous representation of discrete data models in a cybersecurity management system | NANO, SARGON N | — |
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 4 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 18940065 | Cloud Unified Vulnerability Management Generating Unified Cybersecurity Signals from Multiple Sources | POUDEL, SAMIKSHYA NMN | 61d |
| 19305126 | Misconfiguration Detection and Prevention in a Data Fabric | POUDEL, SAMIKSHYA NMN | — |
| 19205683 | Automated Mapping of Raw Data into a Data Fabric | POUDEL, SAMIKSHYA NMN | — |
| 19170332 | Exposure and Attack Surface Management Using a Data Fabric | POUDEL, SAMIKSHYA NMN | — |
| Art Unit | Apps |
|---|---|
| 2436 | 4 |
| 2443 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19305126 | Misconfiguration Detection and Prevention in a Data Fabric | POUDEL, SAMIKSHYA NMN | 2436 | §103§112 | Non-Final OA | — | Pending | Aug 20, 2025 |
| 19205683 | Automated Mapping of Raw Data into a Data Fabric | POUDEL, SAMIKSHYA NMN | 2436 | §101§102§103§112 | Non-Final OA | — | Pending | May 12, 2025 |
| 19170332 | Exposure and Attack Surface Management Using a Data Fabric | POUDEL, SAMIKSHYA NMN | 2436 | §101§103§112 | Non-Final OA | — | Pending | Apr 04, 2025 |
| 18940065 | Cloud Unified Vulnerability Management Generating Unified Cybersecurity Signals from Multiple Sources | POUDEL, SAMIKSHYA NMN | 2436 | §103§112Other | Final Rejection | 61d | Pending | Nov 07, 2024 |
| 18672456 | Techniques for continuous representation of discrete data models in a cybersecurity management system | NANO, SARGON N | 2443 | §101 | Final Rejection | — | Pending | May 23, 2024 |
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Start Free TrialAvalor Technologies, Ltd. has 5 pending office actions as of October 2026, spread across 2 art units and 2 examiners.
Samikshya Nmn Poudel has the most, with 4 of Avalor Technologies, Ltd.'s pending office actions.
Mostly Networking & Security (USPTO Tech Center 2400), based on where its pending office actions are examined.
