Corporate Software Inspector Agent
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Corporate Software Inspector Agent
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Profiling Docker* Containers
Amazon Inspector helps improve the security and compliance of applications deployed on Amazon Web Services (). It automatically evaluates Amazon Elastic Compute Cloud (Amazon EC2) instances and the applications on those instances. From this assessment, it generates conclusions regarding exposures, potential vulnerabilities, and deviations from best practices.
You can use Amazon Inspector results in multiple accounts as part of a risk management program for multiple regions for your Amazon EC2 fleet. The ability to categorize potential security issues and respond effectively reduces the time potential threats go unaddressed. It can be accelerated into a single pane of glass for all accounts in your environment.
Following best practices, in a secure multi-account environment, you can provision a group of accounts (using Control Tower) called root accounts to control other accounts within the environment. One of the base accounts can be used as a central security account, which you can designate to control the security and compliance posture across all accounts in your environment. Another central account is a central logging account, which you can provision and designate for central storage of log data.
The flow of events for implementing the solution is shown in Figure 1 and described in the following process flow.
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Flows in this architecture are divided into two types of processes – ad hoc processes and scheduled processes. Resources that are part of a one-time process are activated the first time an Amazon Inspector assessment template is created in each region of each application account. Scheduled process resources start at a fixed interval of Amazon Inspector scanning in each region of each application’s account.
These Amazon Inspector results, as well as additional attributes on scanned instances, can be used for further analysis and visualization via Kibana – the data visualization dashboard for Amazon ES. By storing a copy of these results in an S3 bucket, you can transfer the results data to external monitoring tools that do not support direct data entry from Lambda.
In this solution, you deploy three consecutive cloud formation stacks. All stack sets must be created in the core area of the central security account. Core stacks are deployed to the central security account and all application accounts where Amazon Inspector scans. You can learn more in Working with CloudFormation StackSets.
Before proceeding to stackset deployment, you first need to collect the input parameters for the stackset: Central-SecurityAcnt-BaseTemplate.yaml.
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Note: The template’s other input parameter values are entered automatically, but you can change them during stackset creation if needed. Step 3: Deploy the base template to the central security account.
Now that you have gathered the input parameters, you are ready to deploy the basic template that will create the resources necessary to implement this solution in the central security account.
There are two authorization methods you can choose to deploy a stackset in CloudFormation. If you are using Organizations and have all features enabled, you can use the permissions managed by the service. Otherwise, self-managed permissions mode is recommended. To deploy this solution, you will use self-managed permission mode. To run stack sets in self-managed permissions mode, your administrator account and target accounts must have two IAM roles — CloudFormationStackSetAdministrationRole and CloudFormationStackSetExecutionRole —. In this solution, the main security account is the administrator account and the target accounts are application accounts. You can use the following CloudFormation templates to create the required IAM roles.
Step 4: Deploy another template to the primary region of all application accounts to create global resources.
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This template creates the global resources needed to send Amazon Inspector results to Amazon ES and Amazon S3.
This template creates resources in each region of all application accounts required for scheduled scanning of EC2 instances using Amazon Inspector. Notifications are sent to the SNS topics of each region of the central security account.
After a successful architecture deployment, you can wait until the next Amazon Inspector scan to test the solution or you can use the following steps to run an Amazon Inspector scan manually.
This solution delivers Amazon Inspector results to two services—Amazon ES and Amazon S3—in the primary region of a central security account. You can use Kibana to view the results sent to Amazon ES or you can use the results sent to Amazon S3 and send them to your security monitoring software of choice for further analysis.
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Data sent to the Amazon ES index can be used to create visualizations in Kabana that make it easier to identify potential security gaps and plan remediation accordingly.
You can use Kibana to create a dashboard that provides an overview of potential threats identified across different accounts. Figure 15 shows an example of such a program. The dashboard can help you rank the need for improvement based on criteria such as:
You can create additional panels to view details of vulnerability results identified by Amazon Inspector, such as the security vulnerability’s CVE ID, its description, and recommendations on how to remediate the vulnerability.
Using this solution to integrate Amazon Inspector, Amazon SNS topics, Amazon SQS queues, Lambda functions, Amazon ES domains, and S3 buckets, you can centrally analyze and monitor the vulnerability position of EC2 instances in your environment. are, including in multiple areas in multiple areas. Accounts This solution creates least-privilege access through IAM roles and policies to help secure cross-account architectures.
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In this blog post, you learned how to send results directly to Amazon ES for visualization in Kabana. These visualizations can be used to create dashboards that security analysts can use for centralized monitoring. Enhanced monitoring capabilities help analytics identify potentially vulnerable assets and take corrective actions to improve the security of your applications and their underlying assets. This solution also shows how to store Amazon Inspector results in an S3 bucket, making it easy for you to use those results to create visualizations in your favorite security monitoring software.
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Cloud Security Compliance Security Reference Best Practices Architecture General Data Protection Regulation (GDPR) Enterprise Data Protection Inspector is an endpoint detection and response (EDR) tool that detects abnormal behavior, identifies breaches, assesses and characterizes threats. Further forensic investigation may be conducted. Response capabilities to mitigate identified risks.
The real threat is not what is perceived, but what lurks in the gray zone: APTs running silently in the network or security incidents or undetected past breaches. This additional forensic visibility is essential in security incidents. Security teams need better security monitoring, more sensitive threat detection, better response, and automated and manual remediation capabilities.
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Enterprise Inspector allows security teams to intuitively detect APTs, mitigate attacks and other types of malicious activity by applying behavioral and machine learning algorithms to low-level system data collected from endpoints. They can easily analyze their attack indicators, vulnerability, forensic analysis, and root cause analysis.
Enterprise Inspector enriches prevention resources that provide granular visibility into every script and process executed within the company. Its extensive filtering enables security engineers to filter all known applications using system reputation and file attributes to narrow the search and focus on what is relevant or not. Further investigation is needed. Data is presented in an understandable format to further streamline the flow and avoid wasting time in identifying important information.
Enterprise Inspector allows substring searches between computers, executables, processes, and even individual modifications and offers extensive options for customizing views and data filtering and mining. Hunting for danger has never been easier and faster.
Both Enterprise Inspector and Remote Administrator databases are used on this basis, which prevents the leakage of sensitive data outside of the company environment, significantly reduces bandwidth hogs, and Enterprise Inspector with Remote Administrator nearly real-time. Time allows synchronization.
About Application Control
Unlike competing solutions, Enterprise Inspector provides behavior- and reputation-based detection that is completely transparent to security teams. All rules are easily edited via XML to allow fine-tuning or creation of new ones to meet the needs of a specific enterprise environment.
Enterprise Inspector builds on existing security endpoint offerings, creating a consistent ecosystem.
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