Skill UI

Guides building, tuning, and validating production Apache Spark jobs, covering DataFrame/RDD choices, partitioning, broadcast joins, skew handling, caching, and cluster configuration for big data pipelines.

Build automated pipelines to respond to AWS GuardDuty findings. This solution uses EventBridge to detect high-severity threats and triggers a Lambda function. The function automatically quarantines compromised resources (e.g., EC2 instances), creates forensic EBS snapshots, and sends detailed notifications via SNS, drastically reducing Mean Time To Respond (MTTR). Ideal for proactive cloud security posture management.

Detect unauthorized crypto-mining in AWS, Azure, and GCP by correlating GuardDuty/Defender/SCC findings, compute anomalies, network flows, and container/serverless behaviors to validate threats and guide response.

A comprehensive guide for deploying and operationalizing Amazon GuardDuty. It provides continuous, intelligent threat detection across core AWS services including S3, EKS, and EC2 runtime monitoring. Use this skill to investigate suspicious activity, detect compromised credentials, or build automated incident response playbooks using EventBridge and Lambda for proactive security.

This skill detects compromised cloud credentials by analyzing anomalous API activity, impossible travel patterns, and unauthorized access indicators across AWS, Azure, and GCP. It integrates findings from GuardDuty, Defender for Identity, and Security Command Center to provide comprehensive threat visibility and assist in incident response and scope assessment.

A comprehensive guide for security teams on detecting and responding to unauthorized crypto mining operations in cloud environments (AWS, Azure). It details a multi-layered approach, utilizing cost anomaly detection, compute utilization monitoring, GuardDuty findings, and network flow log analysis (VPC/KQL) to identify resource hijacking attempts and suspicious activity across EC2, ECS, and EKS workloads.

A comprehensive guide and workflow for detecting unauthorized data exfiltration from AWS S3 buckets. It details how to leverage multiple AWS services—including CloudTrail, GuardDuty, Amazon Macie, and Athena—to analyze access patterns, identify bulk downloads, and detect cross-account data transfers, ensuring robust cloud compliance and security monitoring.

This comprehensive guide details how to establish AWS Security Hub as a centralized Cloud Security Posture Management (CSPM) platform. It aggregates security findings from multiple AWS services (GuardDuty, Inspector, Macie) and third-party tools. Users can enforce compliance against industry standards (CIS, PCI-DSS, NIST), automate remediation workflows via EventBridge, and generate comprehensive evidence for compliance audits.

This comprehensive guide details how to deploy and configure AWS Security Hub across multi-account AWS Organizations. It aggregates security findings from various AWS services (GuardDuty, Inspector, Macie, etc.) to enforce continuous compliance against industry standards like CIS, PCI DSS, and NIST. Use this skill to build centralized compliance dashboards and automated remediation workflows for robust security posture management.

AWS Detective automatically analyzes log data from CloudTrail, VPC Flow Logs, GuardDuty, and EKS audit logs to build interactive behavior graphs. This tool enables security analysts to investigate suspicious activity, trace lateral movement across accounts, profile compromised entities (IAM users, EC2 instances), and reconstruct complex attack timelines without manual log parsing. Ideal for triaging GuardDuty findings or investigating suspected AWS compromises.

This solution provides a comprehensive framework for detecting compromised cloud credentials across AWS, Azure, and GCP. It analyzes anomalous API activity, impossible travel patterns, and indicators of credential stuffing by leveraging services like AWS GuardDuty, Azure Defender, and GCP SCC. Use this when investigating suspicious cloud API calls, responding to exposed credential alerts, or scoping a potential account takeover.

This guide teaches security teams how to proactively detect and respond to unauthorized cryptocurrency mining operations across major cloud platforms (AWS, Azure). It utilizes a multi-layered approach by analyzing compute cost anomalies, monitoring GuardDuty findings, inspecting network traffic to known mining pools, and analyzing runtime process execution in EC2, ECS, and EKS environments.