Technology area: Networking & Security
10 pending office actions • 9 art units • 10 examiners • 0 of 10 (0%) have an AI response strategy ready • 24 patents granted in the last 365 days
Akamai Technologies Inc. is currently managing 10 pending office actions in the Networking & Security technology area. These cases are assigned to 10 distinct examiners across 9 distinct art units. This indicates that while the examiners are all different, there is a slight concentration of subject matter within the 9 distinct art units. Practitioners should look for commonalities in the 9 distinct art units to streamline their prosecution efforts.
YANG, HAN is the busiest examiner for the company, with 1 pending office action. Since each of the 10 distinct examiners is handling exactly 1 pending office action, no single individual has a disproportionate impact on the portfolio. The variety of 9 distinct art units suggests that the applications are technically diverse but may share some common classification standards. Practitioners must manage the individual expectations of the 10 distinct examiners while adhering to the procedural norms of each unit. This distribution ensures that the 10 pending office actions receive a broad range of technical reviews.
Based on the USPTO statutory response window for each pending office action. 2 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 |
|---|---|
| §103 only | 5 (50%) |
| §112 only | 1 (10%) |
| Double-patenting only | 2 (20%) |
| Multi-statute (no §101) | 2 (20%) |
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 |
|---|---|---|---|
| YANG, HAN | 1 | 92.1% | +11.7% |
| MEHEDI, MORSHED | 1 | 85.8% | -0.5% |
| MURPHY, JOSEPH B | 1 | 90.2% | +12.7% |
| SHEPPERD, ERIC W | 1 | 77.6% | +35.1% |
| WON, MICHAEL YOUNG | 1 | 80.0% | +28.5% |
| KNACKSTEDT, JACOB BENEDICT | 1 | 86.2% | +18.9% |
| MCBETH, WILLIAM C | 1 | 66.7% | +58.3% |
| WINDER, PATRICE L | 1 | 87.0% | +11.3% |
| AHSAN, SYED M | 1 | 73.4% | +22.1% |
| CHOWDHURY, MOHAMMED SHAMSUL | 1 | 83.3% | +24.0% |
Cases in front of an examiner with an allow rate of 80%+ where the difficulty is Easy or Medium. The top 6 ordered by deadline are shown.
| App # | Title | Examiner | Due in |
|---|---|---|---|
| 17978275 | Intelligently pre-positioning and migrating compute capacity in an overlay network, with compute handoff and data consistency | CHOWDHURY, MOHAMMED SHAMSUL | 87d overdue |
| 19248031 | Detecting automated attacks on computer systems using real-time clustering | YANG, HAN | — |
| 19219022 | TECHNIQUES FOR ACTIVELY IDENTIFYING PARAMETERS OF COMPUTING INTERFACES BASED ON REQUESTS AND FOR ACTIVE TESTING USING SUCH PARAMETERS | MEHEDI, MORSHED | — |
| 19212936 | Browser extensionless phish-proof multi-factor authentication (MFA) | MURPHY, JOSEPH B | — |
| 19044123 | Artificial Intelligence (AI) on an Edge Network | WON, MICHAEL YOUNG | — |
| 18967534 | DISTINGUISHING ABUSIVE TRAFFIC FROM LEGITIMATE TRAFFIC WITH MULTI-STAGE VOLUMETRIC ANALYSIS | KNACKSTEDT, JACOB BENEDICT | — |
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 |
|---|---|---|---|
| 18805725 | Systems and methods for failure recovery in at-most-once and exactly-once streaming data processing | WINDER, PATRICE L | 36d overdue |
| 18926732 | Generalized Edge Compute (GEC) architecture with egress link safety | MCBETH, WILLIAM C | — |
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 |
|---|---|---|---|
| 17978275 | Intelligently pre-positioning and migrating compute capacity in an overlay network, with compute handoff and data consistency | CHOWDHURY, MOHAMMED SHAMSUL | 87d overdue |
| 18805725 | Systems and methods for failure recovery in at-most-once and exactly-once streaming data processing | WINDER, PATRICE L | 36d overdue |
| 19248031 | Detecting automated attacks on computer systems using real-time clustering | YANG, HAN | — |
| 19212936 | Browser extensionless phish-proof multi-factor authentication (MFA) | MURPHY, JOSEPH B | — |
| 19211547 | Real-time detection of site phishing using Message Passing Neural Networks (MPNN) on directed graphs | SHEPPERD, ERIC W | — |
| 19044123 | Artificial Intelligence (AI) on an Edge Network | WON, MICHAEL YOUNG | — |
| 18967534 | DISTINGUISHING ABUSIVE TRAFFIC FROM LEGITIMATE TRAFFIC WITH MULTI-STAGE VOLUMETRIC ANALYSIS | KNACKSTEDT, JACOB BENEDICT | — |
| 18926732 | Generalized Edge Compute (GEC) architecture with egress link safety | MCBETH, WILLIAM C | — |
| Art Unit | Apps |
|---|---|
| 2408 | 2 |
| 2431 | 1 |
| 2435 | 1 |
| 2492 | 1 |
| 2443 | 1 |
| 2449 | 1 |
| 2453 | 1 |
| 2491 | 1 |
| 2467 | 1 |
| App # | Title | Examiner | Art Unit | Statutes | Status | Due in | AI | Filed |
|---|---|---|---|---|---|---|---|---|
| 19248031 | Detecting automated attacks on computer systems using real-time clustering | YANG, HAN | 2431 | DP | Non-Final OA | — | Pending | Jun 24, 2025 |
| 19219022 | TECHNIQUES FOR ACTIVELY IDENTIFYING PARAMETERS OF COMPUTING INTERFACES BASED ON REQUESTS AND FOR ACTIVE TESTING USING SUCH PARAMETERS | MEHEDI, MORSHED | 2408 | DP | Non-Final OA | — | Pending | May 27, 2025 |
| 19212936 | Browser extensionless phish-proof multi-factor authentication (MFA) | MURPHY, JOSEPH B | 2435 | §112Other | Non-Final OA | — | Pending | May 20, 2025 |
| 19211547 | Real-time detection of site phishing using Message Passing Neural Networks (MPNN) on directed graphs | SHEPPERD, ERIC W | 2492 | §103Other | Non-Final OA | — | Pending | May 19, 2025 |
| 19044123 | Artificial Intelligence (AI) on an Edge Network | WON, MICHAEL YOUNG | 2443 | §103 | Non-Final OA | — | Pending | Feb 03, 2025 |
| 18967534 | DISTINGUISHING ABUSIVE TRAFFIC FROM LEGITIMATE TRAFFIC WITH MULTI-STAGE VOLUMETRIC ANALYSIS | KNACKSTEDT, JACOB BENEDICT | 2408 | §103 | Final Rejection | — | Pending | Dec 03, 2024 |
| 18926732 | Generalized Edge Compute (GEC) architecture with egress link safety | MCBETH, WILLIAM C | 2449 | §103§112 | Non-Final OA | — | Pending | Oct 25, 2024 |
| 18805725 | Systems and methods for failure recovery in at-most-once and exactly-once streaming data processing | WINDER, PATRICE L | 2453 | §103§112 | Non-Final OA | 36d overdue | Pending | Aug 15, 2024 |
| 18516364 | Mitigation of Volumetric Attacks With Controlled Traffic Spreading and Load Balancing | AHSAN, SYED M | 2491 | §103 | Non-Final OA | — | Pending | Nov 21, 2023 |
| 17978275 | Intelligently pre-positioning and migrating compute capacity in an overlay network, with compute handoff and data consistency | CHOWDHURY, MOHAMMED SHAMSUL | 2467 | §103 | Final Rejection | 87d overdue | Pending | Nov 01, 2022 |
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Start Free TrialAkamai Technologies Inc. has 10 pending office actions as of October 2026, spread across 9 art units and 10 examiners.
Han Yang has the most, with 1 of Akamai Technologies Inc.'s pending office actions.
Mostly Networking & Security (USPTO Tech Center 2400), based on where its pending office actions are examined.
