Skill UI

This guide details the implementation of comprehensive security monitoring using Datadog Cloud SIEM, Cloud Security Management (CSM), and Workload Protection. It covers deploying the Datadog Agent across hybrid cloud infrastructure (AWS, Azure, GCP), ingesting critical log sources (CloudTrail, VPC Flow Logs, etc.), configuring Workload Protection, and creating custom detection rules to detect threats, enforce compliance, and provide centralized SOC visibility.

A comprehensive guide to implementing Zero Trust Network Access (ZTNA) across major cloud platforms (AWS, Azure, GCP). This skill replaces traditional VPNs with identity-aware proxies, micro-segmentation, and conditional access policies. It ensures secure, context-aware access to cloud workloads, limiting lateral movement and adhering to BeyondCorp architectural principles.

Implement Okta as a centralized Identity Provider (IdP) for robust multi-cloud security across AWS, Azure, and GCP. This skill covers configuring Single Sign-On (SSO), deploying phishing-resistant Multi-Factor Authentication (MFA), automating user lifecycle management via SCIM, and enforcing adaptive access policies based on device posture and user risk, helping organizations achieve Zero Trust compliance.

This comprehensive guide details the methodology for detecting and exploiting Blind Server-Side Request Forgery (SSRF) vulnerabilities. It covers crucial techniques including out-of-band (OOB) detection, internal network enumeration (port scanning, IP scanning), accessing cloud metadata endpoints (AWS, GCP, Azure), and bypassing common security filters using various encoding and parsing confusion methods. Ideal for penetration testing and cloud security assessments.

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 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 management capabilities for AI Integrations within the Arize platform. Users can create, list, retrieve, and update credentials for various Large Language Model (LLM) providers, including OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, and Vertex AI. These integrations are crucial for enabling Arize's advanced monitoring and evaluation features that require invoking external LLMs.

This comprehensive CLI tool enables users to manage all core resources within Azure DevOps from a command line interface. It provides full control over CI/CD pipelines, source code repositories (Git), work items (Boards), artifacts, and service connections. Ideal for scripting, advanced automation workflows, and integrating DevOps processes into larger continuous delivery systems.

This advanced workflow automates the process of analyzing the operational health of specific Azure resources. It ingests and analyzes raw logs, telemetry data, and performance metrics from diverse Azure services (e.g., VMs, Web Apps, Databases). The system performs comprehensive root cause analysis, classifies issues (Critical, High, Medium), and generates actionable, step-by-step remediation plans, significantly reducing manual troubleshooting time.