GoSecure has a total of 30 patents globally, out of which 15 have been granted. Of these 30 patents, 18 patents are active. Canada is where GoSecure has filed the maximum number of patents, followed by Europe and the United States Of America. Parallelly, United States Of America seems to be the main focused R&D centre of GoSecure.
GoSecure was founded in the year 2002 by Alen Capalik, Stan Eramia. Company deals in information technology that specializes in cybersecurity, cloud security, and network security.
Do read about some of the most popular patents of GoSecure which have been covered by us in this article and also you can find GoSecure patents information, the worldwide patent filing activity and its patent filing trend over the years, and many other stats over GoSecure patent portfolio.
How many patents does the founder of GoSecure have?
The founder, Alen Capalik has 0 patent, Stan Eramia has 0 patent.
How many patents does GoSecure have?
GoSecure has a total of 30 patents globally. These patents belong to 11 unique patent families. Out of 30 patents, 18 patents are active.
How Many Patents did GoSecure File Every Year?
Are you wondering why there is a drop in patent filing for the last two years? It is because a patent application can take up to 18 months to get published. Certainly, it doesn’t suggest a decrease in the patent filing.
| Year of Patents Filing or Grant | GoSecure Applications Filed | GoSecure Patents Granted |
| 2011 | 4 | – |
| 2016 | 3 | – |
| 2017 | – | 1 |
| 2018 | 3 | 2 |
| 2019 | – | 1 |
| 2020 | 1 | 5 |
| 2021 | 1 | 3 |
| 2022 | – | 1 |
How many GoSecure patents are Alive/Dead?
Worldwide Patents
How Many Patents did GoSecure File in Different Countries?
Where are Research Centres of GoSecure Patents Located?
10 Best GoSecure Patents
USD713045S1 is the most popular patent in the GoSecure portfolio. It has received 23 citations so far from companies like Singapore Airlines Limited, Airbus Interiors Services and The Boeing Company.
Below is the list of 10 most cited patents of GoSecure:
| Publication Number | Citation Count |
| US20050288915A1 | 10 |
| US7363203B2 | 8 |
| US20070032986A1 | 5 |
| US7487241B2 | 2 |
| EP3614287B1 | 0 |
| EP2446363B1 | 0 |
| DE602010067826T2 | 0 |
| CA2816764C | 0 |
| EP3704584A4 | 0 |
| HK40037495A | 0 |
List of GoSecure Patents
| GoSecure Patents | Titles |
| EP3614287B1 | Digital DNA sequence |
| EP2446363B1 | Algorithm for generating a digital DNA sequence |
| DE602010067826T2 | algorithm for generating a digital DNA sequence |
| CA2816764C | Inoculator and antibody for computer security |
| EP3704584A4 | Analysis and reporting of suspicious email |
| HK40037495A | Analysis and reporting of suspicious email |
| HK40023235A | Digital DNA sequence |
| EP3243313B1 | System and method for monitoring a computer system using machine interpretable code |
| DE602016044068T2 | System And Method Of Monitoring A Computer System Using Machine Interpretable Code |
| EP2635969B1 | Inoculator and antibody for computer security |
| DE602011067704T2 | Inoculator and antibody for computer security |
| AU2018358228A1 | Analysis and reporting of suspicious email |
| CA3013171C | System and method for analyzing unauthorized intrusion into a computer network |
| EP2422273B1 | Digital DNA sequence |
| CA3079840A1 | Analysis and reporting of suspicious email |
| CA2759279C | Digital DNA sequence |
| CA2689126C | System and method for analyzing unauthorized intrusion into a computer network |
| CA2765485C | Fuzzy hash algorithm |
| CA2973367A1 | System and method for monitoring a computer system using machine interpretable code |
| CA3130495A1 | Inoculator and antibody for computer security |
| EP1934767A4 | Determining event causality in a wavefront environment |
| US7487241B2 | Performing efficient insertions in wavefront table based causal graphs |
| WO2007001312A8 | Determining event causality |
| US7363203B2 | Determining event causality including employment of partitioned event space |
| EP1897004A2 | Determining event causality |
| CA2620369A1 | Determining event causality in a wavefront environment |
| WO2007019524A3 | Determining event causality in a wavefront environment |
| US20070032986A1 | Efficient filtered causal graph edge detection in a causal wavefront environment |
| CA2582827A1 | Determining event causality |
| US20050288915A1 | Determining event causality including employment of causal chains |