Skill UI

This comprehensive guide details the implementation of Cloud Data Loss Prevention (DLP) using industry-leading tools such as Amazon Macie, Google Cloud DLP, and Azure Information Protection. It provides structured workflows for discovering, classifying, de-identifying, and protecting sensitive data (PII, PHI, financial data) across cloud storage, databases, and data pipelines. Essential for achieving compliance with global regulations (GDPR, HIPAA, PCI DSS) and integrating robust data governance into CI/CD processes.

This skill implements Cloud Security Posture Management (CSPM) across multi-cloud environments. It detects critical cloud-native misconfigurations, such as over-permissive IAM roles, exposed storage buckets, and unencrypted data, using industry-leading tools like AWS Security Hub, Azure Defender for Cloud, Prowler, and ScoutSuite. Use this when conducting comprehensive audits of complex, multi-cloud infrastructures for compliance or building consolidated security posture reports.

This skill guides the deployment and configuration of Data Loss Prevention (DLP) controls directly on endpoints. It detects and prevents the unauthorized exfiltration of sensitive data (PII, PHI, PCI) via common vectors like email, USB drives, cloud storage uploads, and printing. Use this when establishing compliance policies (HIPAA, GDPR) or securing data against internal data movement risks.

This guide details the implementation of a robust, ransomware-resilient backup architecture following the extended 3-2-1-1-0 rule. It covers critical steps such as classifying assets, defining RPO/RTO, implementing immutable or air-gapped storage, and isolating backup credentials from the production domain. Use this knowledge to design a multilayered defense against data loss and ensure reliable recovery points.

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 guide outlines the process for forensically acquiring digital evidence from major cloud storage services, including Google Drive, OneDrive, Dropbox, and Box. The method combines API-based remote data extraction (such as audit logs and revision histories) with the collection of local endpoint sync-client artifacts. It is essential for conducting thorough incident response, security assessments, and e-discovery investigations involving cloud-synced data.

This skill provides a comprehensive framework for performing authorized penetration testing on Google Cloud Platform (GCP). It uses specialized tools like GCPBucketBrute to enumerate publicly accessible storage buckets and audits IAM policies to identify overly permissive role bindings. The process includes checking service account keys and mapping potential privilege escalation paths, generating actionable, risk-scored reports for robust cloud security posture management.

Perform comprehensive security assessments for Google Cloud Platform environments. This tool audits critical security components—including IAM policies, firewall rules, and storage permissions—against industry benchmarks like the CIS GCP Foundations Benchmark. It helps organizations establish secure baselines and ensure continuous compliance across multiple GCP projects.

A comprehensive guide to conducting security assessments on thick client (desktop) applications. This skill details techniques ranging from static analysis (using tools like dnSpy, IDA Pro) to dynamic analysis (process monitoring with Procmon, network interception via Burp Suite). It covers finding hardcoded credentials, identifying insecure local storage, mitigating DLL hijacking, and analyzing memory manipulation within local applications.

A comprehensive guide and workflow for recovering deleted files (documents, images, videos, etc.) from damaged storage media, forensic disk images, or corrupted file systems. It utilizes PhotoRec's file signature-based carving engine, allowing data recovery regardless of file system damage. The process includes advanced steps for file validation, hashing, and organizing evidence for forensic analysis.

A comprehensive guide detailing systematic steps to remediate Amazon S3 bucket misconfigurations that expose sensitive data. Procedures include enabling S3 Block Public Access, auditing and restricting overly permissive policies and ACLs, enforcing default server-side encryption (KMS/AES-256), and using AWS Config/Security Hub for automated compliance checks. Essential for achieving robust cloud storage security compliance.

A comprehensive guide for performing security assessments to identify various forms of sensitive data exposure, such as leaked API keys, PII in API responses, insecure client-side storage, and unprotected data transmission. This workflow covers scanning JavaScript files, analyzing API responses, verifying data encryption, and examining browser storage.