Dashboards for displaying threat insight information
View Patent ↗Dashboards for displaying threat insight information are provided herein, as well as systems and methods for generating the same. According to some embodiments, methods for providing a threat dashboard may include locating metrics regarding a malicious attack against a targeted resource, where the metrics indicate instances where users were exposed to the malicious attack or instances where a cloud-based threat detection system prevented the user from being exposed to the malicious attack. The method may also include rendering a threat dashboard for a web browser application of a client device, where the threat dashboard includes the located metrics.
1. A method for providing a threat dashboard via a cloud-based threat detection system, the cloud-based threat detection system comprising a Central Processing Unit (CPU) and a memory, the method comprising the steps of:
preventing, via the cloud-based threat detection system, users from being exposed to a particular malicious attack, the particular malicious attack being from a particular malware;
preventing, via the cloud-based threat detection system, the users from actuating the particular malicious attack;
locating metrics regarding the particular malicious attack, the metrics indicating instances where the users were exposed to the particular malicious attack, instances where the cloud-based threat detection system prevented the users from being exposed to the particular malicious attack, instances where the users actuated the particular malicious attack, and instances where the cloud-based threat detection system prevented the particular malicious attack from being actuated; and
rendering a threat dashboard for a web browser application of a client device, the threat dashboard comprising the located metrics, the threat dashboard further comprising a slider for categorizing attacks being configured to indicate whether the particular malicious attack was targeted to a particular resource or less discriminative,
the rendering including graphing a timeline comprising a graph having a first axis defined by a period of time of the metrics and a second axis defined by:
instances where the cloud-based threat detection system prevented the users from being exposed to the particular malicious attack and instances where the users were exposed to the particular malicious attack; and
the rendering further including graphing another timeline comprising another graph having a first axis defined by a period of time of the metrics and a second axis defined by:
instances where the cloud-based threat detection system prevented the particular malicious attack from being actuated and instances where the users actuated the particular malicious attack.
2. The method according to claim 1 , wherein the first axis is the horizontal axis and the second axis is the vertical axis.
3. The method according to claim 1 , further comprising locating a threat neutralization indicator on the timeline, the threat neutralization indicator illustrating a point in time where the cloud-based threat detection system neutralized an actuated malicious attack.
4. The method according to claim 3 , wherein the threat neutralization indicator further illustrates at least one of:
how long it took to identify the particular malicious attack; and
how long it took to neutralize the particular malicious attack.
5. The method according to claim 3 , wherein the threat neutralization indicator further illustrates both:
how long it took to identify the particular malicious attack; and
how long it took to neutralize the particular malicious attack.
6. The method according to claim 1 , wherein rendering includes assembling a threat source list comprising a ranked listing of particular malicious attacks arranged according to exposure or actuation success.
7. The method according to claim 1 , further comprising locating a threat neutralization indicator on the timeline, the threat neutralization indicator illustrating a point in time where the cloud-based threat detection system neutralized an exposed malicious attack.
8. The method according to claim 1 , wherein the metrics further indicate whether the particular malicious attack is at least one of a malware attack and a phishing attack.
9. A cloud-based threat detection system for providing a threat dashboard, the system comprising:
a processor; and
a memory for storing logic, the logic being executed by the processor to execute operations comprising:
preventing, via the cloud-based threat detection system, users from being exposed to a particular malicious attack, the particular malicious attack being from a particular malware;
preventing, via the cloud-based threat detection system, the users from actuating the particular malicious attack;
providing a threat dashboard comprising metrics regarding the particular malicious attack against a targeted resource, the metrics indicating instances where the users were exposed to the particular malicious attack, instances where the cloud-based threat detection system prevented the users from being exposed to the particular malicious attack, instances where the users actuated the particular malicious attack, and instances where the cloud-based threat detection system prevented the particular malicious attack from being actuated; and
rendering the threat dashboard for a web browser application of a client device, the threat dashboard comprising the metrics, the threat dashboard further comprising a slider for categorizing attacks being configured to indicate whether the particular malicious attack was targeted to a particular group of the users or widespread, the rendering including graphing a timeline comprising a graph having a first axis defined by a period of time of the metrics and a second axis defined by:
instances where the cloud-based threat detection system prevented the users from being exposed to the particular malicious attack and instances where the users were exposed to the particular malicious attack; and
the rendering further including graphing another timeline comprising another graph having a first axis defined by a period of time of the metrics and a second axis defined by: instances where the cloud-based threat detection system prevented the particular malicious attack from being actuated and instances where the users actuated the particular malicious attack.
10. The system according to claim 9 , wherein the processor further executes the logic to perform an operation of rendering a view of the targeted resource within the threat dashboard.
11. The system according to claim 9 , wherein each graph has the first axis being the horizontal axis and the second axis being the vertical axis.
12. The system according to claim 9 , wherein the processor further executes the logic to perform an operation of locating a threat neutralization indicator on the timeline, the threat neutralization indicator illustrating a point in time where the cloud-based threat detection system neutralized an actuated malicious attack.
13. The system according to claim 9 , wherein the processor further executes the logic to perform an operation of populating the threat dashboard with a list of threat instances where the users encountered or actuated the particular malicious attack, wherein the list is organized such that instances where the users actuated the particular malicious attack are displayed above instances where the users encountered but did not actuate the particular malicious attack.
14. The system according to claim 9 , wherein the targeted resource and the client device are not the same device.
15. A method for providing a threat dashboard via a cloud-based threat detection system, the cloud-based threat detection system comprising a Central Processing Unit (CPU) and a memory, the method comprising the steps of:
preventing, via the cloud-based threat detection system, users from actuating a particular malicious attack, the particular malicious attack being from a particular malware;
determining metrics regarding the particular malicious attack against a targeted resource, the particular malicious attack being associated with an Email message, the metrics indicating:
instances where the users actuated the particular malicious attack and
instances where the cloud-based threat detection system prevented the particular malicious attack from being actuated; and
rendering a threat dashboard for a web browser application of a client device, the rendering including graphing a timeline for the threat dashboard comprising the metrics for instances where the users actuated the particular malicious attack and instances where the cloud-based threat detection system prevented the particular malicious attack from being actuated, the rendering further including providing a slider for categorizing attacks being configured to indicate whether the particular malicious attack was targeted to a particular group of the users or widespread.
16. The method according to claim 15 , wherein the determining metrics regarding the particular malicious attack against the targeted resource further indicates:
the instances where the users were exposed to the particular malicious attack; and
the instances where the cloud-based threat detection system prevented the users from being exposed to the particular malicious attack.
17. The method according to claim 16 , wherein graphing the timeline further comprises generating another graph having a vertical axis defined by instances where the users were exposed to the particular malicious attack and the instances where the cloud-based threat detection system prevented the users from being exposed to the particular malicious attack, and a horizontal axis defined by a period of time.
18. The method according to claim 17 , further comprising locating a threat neutralization indicator on the timeline, the threat neutralization indicator illustrating a point in time where the cloud-based threat detection system neutralized an exposed or actuated malicious attack.