AWS GuardDuty and Microsoft Defender for Cloud both offer strong threat detection and automated responses, yet differ in setup time and integration. AWS GuardDuty features quick deployment and seamless integration with AWS services. Microsoft Defender for Cloud offers continuous monitoring and superior integration with Microsoft tools, albeit having variable setup times.
The summary above is based on 78 interviews we conducted recently with AWS GuardDuty and Microsoft Defender for Cloud users. To access the review's full transcripts, download our report.
SentinelOne Singularity Cloud Security protects cloud workloads, offering advanced threat detection and automated response. It integrates seamlessly with cloud environments and secures containerized applications and virtual machines against vulnerabilities.
SentinelOne Singularity Cloud Security is renowned for its efficiency in mitigating threats in real-time. The platform integrates effortlessly with existing cloud environments, ensuring robust cloud security management with minimal manual intervention. Securing containerized applications and virtual machines, it excels in threat intelligence and endpoint protection. However, improvements are needed in performance during high workload periods, and more integrations with third-party tools and better documentation would be beneficial. Users often find the installation process complex, support response times slow, and the dashboard's navigation unintuitive.
What are the key features of SentinelOne Singularity Cloud Security?In specific industries, SentinelOne Singularity Cloud Security is implemented to safeguard critical data and infrastructure. Organizations in finance, healthcare, and technology depend on its real-time threat detection and automated response to protect sensitive information. Its ability to secure containerized applications and virtual machines is particularly valuable in dynamic environments where rapid scaling is necessary.
Amazon Guard Duty is a continuous cloud security monitoring service that consistently monitors and administers several data sources. These include AWS CloudTrail data events for EKS (Elastic Kubernetes Service) audit logs, VPC (Virtual Private Cloud) flow logs, DNS (Domain Name System) logs, S3 (Simple Cloud Storage), and AWS CloudTrail event logs.
Amazon GuardDuty intuitively uses threat intelligence data - such as lists of malicious domains and IP addresses - and ML (machine learning) to quickly discover suspicious and problematic activity in a user's AWS ecosystem. Activities may include concerns such as interactions with malicious IP addresses or domains, exposed credentials usage, or changes and/or escalation of privileges.
GuardDuty is able to easily determine problematic AWS EC2 (Elastic Compute Cloud) instances delivering malware or mining bitcoin. It is also able to trace AWS account access history for evidence of destabilization. such as suspicious API calls resulting in changing password policies to minimize password strength or anomalous infrastructure deployments in new or different never-used regions.
GuardDuty will continually alert users regarding their AWS environment status and will send the security discoveries to the GuardDuty dashboard or Amazon CloudWatch events for users to view.
Users can access GuardDuty via:
Amazon Elastic Kubernetes Service (Amazon EKS)
Kubernetes protection is an optional add-on in Amazon GuardDuty. This tool is able to discover malicious behavior and possible destabilization of an organization's Kubernetes clusters inside of Amazon Elastic Kubernetes Service (Amazon EKS).
When Amazon EKS is activated, GuardDuty will actively use various data sources to discover potential risks against Kubernetes API. When Kubernetes protection is enabled, GuardDuty uses optional data sources to detect threats against Kubernetes API.
Kubernetes audit logs are a Kubernetes feature that captures historical API activity from applications, the control plane, users, and endpoints. GuardDuty collates these logs from Amazon EKS to create Kubernetes discoveries for the organization's Amazon EKS assets; there is no need to store or turn on the logs.
As long as Kubernetes protection remains activated, GuardDuty will continuously dissect Kubernetes data sources from the Amazon EKS clusters to ensure no suspicious or anomalous behavior is taking place.
Amazon Simple Cloud Storage (S3) Protection
Amazon S3 allows Amazon GuardDuty to actively audit object-level API processes to discover possible security threats to data inside an organization's S3 buckets. GuardDuty continually audits risk to the organization’s S3 assets by carefully dissecting AWS CloudTrail management events and AWS CloudTrail S3 data events. These tools are continually auditing various CloudTrail management events for potential suspicious activities that affect S3 buckets, such as PutBucketReplication, DeleteBucket, ListBucket, and data events for S3 object-level API processes, such as PutObject, GetObject, ListObject, and DeleteObject.
Reviews from Real Users
“The most valuable features are the single system for data collection and the alert mechanisms. Prior to using GuardDuty, we had multiple systems to collect data and put it in a centralized location so we could look into it. Now we don't need to do that anymore as GuardDuty does it for us.” - Arunkumar A., Information Security Manager at Tata Consultancy Services
Microsoft Defender for Cloud is a comprehensive security solution that provides advanced threat protection for cloud workloads. It offers real-time visibility into the security posture of cloud environments, enabling organizations to quickly identify and respond to potential threats. With its advanced machine learning capabilities, Microsoft Defender for Cloud can detect and block sophisticated attacks, including zero-day exploits and fileless malware.
The solution also provides automated remediation capabilities, allowing security teams to quickly and easily respond to security incidents. With Microsoft Defender for Cloud, organizations can ensure the security and compliance of their cloud workloads, while reducing the burden on their security teams.
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