Abstract: Techniques for fingerprinting and aggregating a virtual private cloud (VPC) flow log stream are provided. Each VPC flow log event in the VPC flow log is first determined to be a request event or a response event. A fingerprint is then generated for each VPC flow log event. The fingerprint for a VPC flow log event is generated based on the determination whether the VPC flow log event is a request event or a response event and by concatenating and encoding data contained in a set of data fields corresponding to the VPC flow log event. Based on the fingerprint generated for each VPC flow log event, related events can be detected and aggregated to form an aggregated event. Information stored with each aggregated event can then be used to better monitor the VPC.

Abstract: A central cloud computing account may aggregate events (e.g., configuration change events, policy change events, computing resource-based events, AWS resource policy modification events, etc.) from a plurality of non-centralized (e.g., distributed across various geographic regions, etc.) cloud computing accounts. The central cloud computing account may implement standardized and/or common formatting for configuration information (e.g., computing resource policy information, AWS resource policy information, etc.) indicated by each of the aggregated events. The standardized and/or common formatting may facilitate versioning to indicate changes to the configuration information for each of the non-centralized cloud computing accounts.

Abstract: A central cloud computing account may aggregate events (e.g., configuration change events, policy change events, computing resource-based events, AWS resource policy modification events, etc.) from a plurality of non-centralized (e.g., distributed across various geographic regions, etc.) cloud computing accounts. The central cloud computing account may implement standardized and/or common formatting for configuration information (e.g., computing resource policy information, AWS resource policy information, etc.) indicated by each of the aggregated events. The standardized and/or common formatting may facilitate versioning to indicate changes to the configuration information for each of the non-centralized cloud computing accounts.

Abstract: A central cloud computing account may aggregate events (e.g., configuration change events, policy change events, computing resource-based events, AWS resource policy modification events, etc.) from a plurality of non-centralized (e.g., distributed across various geographic regions, etc.) cloud computing accounts. The central cloud computing account may implement standardized and/or common formatting for configuration information (e.g., computing resource policy information, AWS resource policy information, etc.) indicated by each of the aggregated events. The standardized and/or common formatting may facilitate versioning to indicate changes to the configuration information for each of the non-centralized cloud computing accounts.

Abstract: Techniques for fingerprinting and aggregating a virtual private cloud (VPC) flow log stream are provided. Each VPC flow log event in the VPC flow log is first determined to be a request event or a response event. A fingerprint is then generated for each VPC flow log event. The fingerprint for a VPC flow log event is generated based on the determination whether the VPC flow log event is a request event or a response event and by concatenating and encoding data contained in a set of data fields corresponding to the VPC flow log event. Based on the fingerprint generated for each VPC flow log event, related events can be detected and aggregated to form an aggregated event. Information stored with each aggregated event can then be used to better monitor the VPC.

Abstract: Techniques for fingerprinting and aggregating a virtual private cloud (VPC) flow log stream are provided. Each VPC flow log event in the VPC flow log is first determined to be a request event or a response event. A fingerprint is then generated for each VPC flow log event. The fingerprint for a VPC flow log event is generated based on the determination whether the VPC flow log event is a request event or a response event and by concatenating and encoding data contained in a set of data fields corresponding to the VPC flow log event. Based on the fingerprint generated for each VPC flow log event, related events can be detected and aggregated to form an aggregated event. Information stored with each aggregated event can then be used to better monitor the VPC.

Abstract: Techniques for fingerprinting and aggregating a virtual private cloud (VPC) flow log stream are provided. Each VPC flow log event in the VPC flow log is first determined to be a request event or a response event. A fingerprint is then generated for each VPC flow log event. The fingerprint for a VPC flow log event is generated based on the determination whether the VPC flow log event is a request event or a response event and by concatenating and encoding data contained in a set of data fields corresponding to the VPC flow log event. Based on the fingerprint generated for each VPC flow log event, related events can be detected and aggregated to form an aggregated event. Information stored with each aggregated event can then be used to better monitor the VPC.

Abstract: Various embodiments are generally directed to techniques for generating updating, and/or validating one or more aspects of an access policy for a data bucket, such as based on usage data corresponding to the data bucket, for instance. Some embodiments are particularly directed to automatically generating, updating, and/or validating an access policy for a data bucket based on analysis of log data corresponding to the data bucket. In some embodiments, log data comprising access records to a data bucket may be analyzed to determine access requirements for a set of entities. In some such embodiments, the access requirements for the set of entities may then be used to generate an access policy for the data bucket.

Abstract: Techniques for fingerprinting and aggregating a virtual private cloud (VPC) flow log stream are provided. Each VPC flow log event in the VPC flow log is first determined to be a request event or a response event. A fingerprint is then generated for each VPC flow log event. The fingerprint for a VPC flow log event is generated based on the determination whether the VPC flow log event is a request event or a response event and by concatenating and encoding data contained in a set of data fields corresponding to the VPC flow log event. Based on the fingerprint generated for each VPC flow log event, related events can be detected and aggregated to form an aggregated event. Information stored with each aggregated event can then be used to better monitor the VPC.

Abstract: Various embodiments are generally directed to techniques for generating updating, and/or validating one or more aspects of an access policy for a data bucket, such as based on usage data corresponding to the data bucket, for instance. Some embodiments are particularly directed to automatically generating, updating, and/or validating an access policy for a data bucket based on analysis of log data corresponding to the data bucket. In some embodiments, log data comprising access records to a data bucket may be analyzed to determine access requirements for a set of entities. In some such embodiments, the access requirements for the set of entities may then be used to generate an access policy for the data bucket.