Skill UI

This comprehensive guide outlines a structured workflow for conducting digital forensics investigations across major cloud providers, including AWS, Azure, and GCP. It covers critical steps such as evidence preservation (snapshots, metadata capture), systematic log collection (CloudTrail, Activity Logs, Audit Logs, VPC Flow Logs), and advanced analysis techniques to trace unauthorized accesses and identify root causes of security breaches.

A comprehensive guide to executing cloud-native incident containment procedures across major platforms including AWS, Azure, and GCP. Learn how to systematically isolate compromised resources, revoke malicious credentials, apply network restrictions (Security Groups/ACLs), and capture forensic evidence to prevent lateral movement during a security event. Essential for security assessments and incident response.

Provides a workflow for authorized penetration testing across AWS, Azure, and GCP to discover IAM, storage, serverless, and compute weaknesses, leveraging Pacu, ScoutSuite, Prowler, and cloud-native tools.

This sophisticated tool automates the security review of serverless functions across major cloud providers, including AWS Lambda, Azure Functions, and GCP Cloud Functions. It systematically identifies critical misconfigurations such as overly permissive IAM execution roles (wildcard actions), hardcoded secrets in environment variables, and potential lack of runtime protections. Ideal for pre-production auditing and compliance checks.

A comprehensive skill for auditing service accounts across complex enterprise environments, including Active Directory, major cloud platforms (AWS, Azure, GCP), and databases. It identifies risks such as orphaned accounts, over-privileged access, and non-compliant credentials, ensuring adherence to industry standards like SOX, PCI DSS, and HIPAA. Used during security assessments and compliance reviews.

This skill guide provides a comprehensive framework for automating the secure rotation of service account credentials. It addresses the challenge of managing long-lived secrets across diverse environments, including Active Directory, AWS, GCP, Azure, and databases. By implementing centralized secrets management (like HashiCorp Vault) and automated workflows, users can systematically eliminate stale credentials, dramatically reducing the risk of security breaches and non-compliance.

A comprehensive tool for detecting Server-Side Request Forgery (SSRF) vulnerabilities. It probes cloud metadata endpoints (AWS, GCP, Azure), internal network services, and utilizes various protocol handlers (file://, gopher://) and bypass techniques (DNS rebinding, IP encoding) to assess application security posture during penetration testing or security auditing.

This skill provides a comprehensive guide for deploying Microsoft Defender for Cloud across Azure, multi-cloud, and hybrid environments. It covers activating specific Defender plans for various workloads (servers, containers, storage), optimizing the Secure Score, establishing environment connectors for AWS/GCP, and implementing advanced controls like Just-In-Time (JIT) access for robust, centralized cloud workload protection.

This skill provides comprehensive security hardening guidelines for serverless compute platforms like AWS Lambda, Azure Functions, and Google Cloud Functions. It covers essential security pillars including enforcing least privilege IAM roles, integrating robust secrets management (e.g., AWS Secrets Manager), automating dependency vulnerability scanning within CI/CD pipelines, and implementing strict input validation to mitigate risks such as injection and credential theft. Ideal for DevSecOps practitioners and security architects.

A comprehensive guide to designing scalable, cost-effective, and compliant architectures on Microsoft Azure. This skill covers the entire lifecycle, from gathering detailed business requirements (SLA, RPO/RTO) and selecting appropriate service patterns (AKS, Serverless, Data Factory), to generating Infrastructure as Code (IaC) using Bicep. It also includes steps for cost optimization, reserved instance planning, and setting up robust CI/CD pipelines via Azure DevOps or GitHub Actions.

This skill focuses on detecting and mitigating sophisticated code injection and privilege escalation attacks across the entire serverless ecosystem (AWS Lambda, Azure, GCP). It combines static analysis of dangerous code sinks (e.g., eval, exec) with continuous monitoring of event sources (S3, SQS, API Gateway) and rigorous IAM auditing. It provides a comprehensive framework to secure the expanding serverless attack surface.

This skill automates the entire SOC 2 Type II audit lifecycle. It facilitates gap assessment against AICPA Trust Services Criteria (CC1-CC9) and collects continuous evidence from major cloud providers (AWS, Azure, GCP) and identity systems (Okta, Jira). It supports validating control effectiveness, remediation tracking, and overall compliance monitoring for Security, Availability, Processing Integrity, Confidentiality, and Privacy.