Results for “cloud-logging”

Collect and analyze logs, snapshots, and metadata from AWS, Azure, and GCP to investigate security breaches in cloud environments.

Analyze proxy logs, DNS query logs, and netflow data to detect unauthorized SaaS and cloud service usage, classify domains, and flag high-risk services.

Responds to security incidents in cloud environments (AWS, Azure, GCP) by performing identity-based containment, cloud-native log analysis, resource isolation, and forensic evidence acquisition adapted for ephemeral cloud infrastructure.

Deploys Datadog Cloud SIEM, CSM, and Workload Protection to detect threats, enforce compliance, and respond to security events across cloud and hybrid infrastructure.

Detect abnormal access patterns in AWS S3, GCS, and Azure Blob Storage by analyzing CloudTrail Data Events, GCS audit logs, and Azure Storage Analytics. Identifies after-hours bulk downloads, access from new IP addresses, unusual API calls, and potential data exfiltration using statistical baselines.

Analyze network traffic, logs, and data flows to detect potential data exfiltration via DNS tunneling, cloud storage uploads, encrypted channels, and other indicators of compromise.

Query AWS CloudTrail, VPC Flow Logs, S3 access logs, and ALB logs with Athena for forensic investigation of security incidents.

Analyze AWS CloudTrail logs for security monitoring, threat detection, and forensic investigation using Athena, CloudWatch Logs Insights, and SIEM integration.