Cloud resource risk scenario assessment and remediation
An illustrative method for performing a risk scenario assessment and remediation may include identifying, based on posture data associated with a compute environment, one or more compute resources deployed in the compute environment that are configured to be connected to a network, accessing runtime workload data associated with the one or more compute resources representative of network activity for the one or more compute resources, and performing, based on the posture data and the runtime workload data, a remediation operation associated with the one or more compute resources.
1 . A method comprising:
identifying, by a data platform and based on posture data associated with a compute environment, one or more compute resources deployed in the compute environment and configured to be connected to a network;
accessing, by the data platform, runtime workload data associated with the one or more compute resources, the runtime workload data representative of network activity for the one or more compute resources; and
performing, by the data platform and based on the posture data and the runtime workload data, a remediation operation associated with the one or more compute resources, wherein the remediation operation includes:
performing a risk assessment associated with the one or more compute resources;
providing, based on the risk assessment associated with the one or more compute resources, a risk score associated with the one or more compute resources;
prioritizing, based on the risk score, the one or more compute resources such that a first compute resource having a higher risk score than a second compute resource is prioritized over the second compute resource; and at least one of:
outputting, for display in a user interface, a notification associated with the first compute resource over a notification associated with the second compute resource; and
modifying a network configuration of the first compute resource based on the higher risk score.
2 . The method of claim 1 , wherein the posture data is collected using an agentless workload scanning configuration.
3 . The method of claim 1 , wherein the posture data includes one or more of static network configuration data, machine data, control plane data, or identity provider data.
4 . The method of claim 1 , wherein the identifying the one or more compute resources includes identifying a select one or both of a compute resource configured to be directly connected to the network or a compute resource configured to be connected to the network via another compute resource connected to the network.
5 . The method of claim 1 , wherein the runtime workload data is collected using an agent configuration deployed within the compute environment.
6 . The method of claim 1 , further comprising:
constructing, by the data platform and based on the runtime workload data, a graph comprising a plurality of nodes connected by a plurality of edges, wherein each node of the plurality of nodes represents a logical entity associated with the runtime workload data and each edge of the plurality of edges represents a behavioral relationship between nodes connected by the edge;
wherein the performing the remediation operation is further based on the graph.
7 . The method of claim 1 , wherein the modifying of the network configuration includes removing a network connection for the first compute resource.
8 . The method of claim 1 , wherein the remediation operation includes providing a recommendation to remove a network connection for at least one compute resource included in the one or more compute resources.
9 . The method of claim 1 , wherein the remediation operation comprises providing a notification that indicates how the one or more compute resources are connected to the network.
10 . The method of claim 1 , wherein the remediation operation includes generating, for display in the user interface, an exposure graph representative of how the one or more compute resources are connected to the network.
11 . The method of claim 1 , wherein the remediation operation includes generating, for display in the user interface, an impact analysis graph representative of entity data accessible by the one or more compute resources.
12 . The method of claim 1 , wherein the risk assessment includes determining whether a vulnerability is associated with the one or more compute resources, whether a misconfiguration is associated with the one or more compute resources, or an access privilege associated with the one or more compute resources.
13 . A system comprising:
a memory storing instructions; and
one or more processors communicatively coupled to the memory and configured to execute the instructions to perform a process comprising:
identifying, based on posture data associated with a compute environment, one or more compute resources deployed in the compute environment and that are configured to be connected to a network;
accessing runtime workload data associated with the one or more compute resources, the runtime workload data representative of network activity for the one or more compute resources; and
performing based on the posture data and the runtime workload data, a remediation operation associated with the one or more compute resources, wherein the remediation operation includes:
performing a risk assessment associated with the one or more compute resources;
providing, based on the risk assessment associated with the one or more compute resources, a risk score associated with the one or more compute resources;
prioritizing, based on the risk score, the one or more compute resources such that a first compute resource having a higher risk score than a second compute resource is prioritized over the second compute resource; and at least one of:
outputting, for display in a user interface, a notification associated with the first compute resource over a notification associated with the second compute resource; and
modifying a network configuration of the first compute resource based on the higher risk score.
14 . The system of claim 13 , wherein the posture data is collected using an agentless workload scanning configuration.
15 . The system of claim 13 , wherein the runtime workload data is collected using an agent configuration deployed within the compute environment.
16 . The system of claim 13 , wherein the remediation operation includes generating, for display in the user interface, an exposure graph representative of how the one or more compute resources are connected to the network.
17 . The system of claim 13 , wherein the remediation operation includes generating, for display in the user interface, an impact analysis graph representative of entity data accessible by the one or more compute resources.
18 . A computer program product embodied in a non-transitory computer readable storage medium and comprising computer instructions for:
identifying based on posture data associated with a compute environment, one or more compute resources deployed in the compute environment and that are configured to be connected to a network;
accessing runtime workload data associated with the one or more compute resources, the runtime workload data representative of network activity for the one or more compute resources; and
performing based on the posture data and the runtime workload data, a remediation operation associated with the one or more compute resources, wherein the remediation operation includes:
performing a risk assessment associated with the one or more compute resources;
providing, based on the risk assessment associated with the one or more compute resources, a risk score associated with the one or more compute resources;
prioritizing, based on the risk score, the one or more compute resources such that a first compute resource having a higher risk score than a second compute resource is prioritized over the second compute resource; and at least one of:
outputting, for display in a user interface, a notification associated with the first compute resource over a notification associated with the second compute resource; and
modifying a network configuration of the first compute resource based on the higher risk score.