Skill UI

This guide details establishing confidential computing environments using AWS Nitro Enclaves for hardware-level isolation. It covers building secure enclaves for sensitive data (PII, PHI), configuring cryptographic attestation workflows, and integrating KMS policies using PCR-based conditions. Learn to harden workloads by moving secret decryption into isolated, verifiable hardware boundaries.

This skill details the deployment of various canary tokens (DNS, HTTP, AWS API Keys) across enterprise network infrastructure. It establishes digital tripwires that detect behavioral anomalies, such as unauthorized access, credential leakage, or lateral movement. Tokens are configured with webhook alerts (Slack, SIEM) for real-time, low-false-positive notification, significantly enhancing traditional IDS/IPS capabilities.

`jq` is the standard and powerful CLI tool for querying, filtering, and reshaping JSON data. This skill provides expert-level practical patterns for working with deeply nested structures, handling complex transformations (like flattening, renaming, and grouping), and integrating JSON logic into shell pipelines. Essential for parsing API outputs (AWS, GitHub), log files, and building robust Bash scripts.

This skill provides a comprehensive guide and structured SQL templates for performing deep forensic investigations on AWS cloud logs. It utilizes AWS Athena to query massive datasets from CloudTrail, VPC Flow Logs, S3 access logs, and ALB logs. Ideal for detecting unauthorized access, data exfiltration, and privilege escalation during security incident response.

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.

Checks AWS, Azure, and GCP configurations for IAM escalation paths, public storage exposure, open security groups, and IaC gaps, providing preventive findings with MITRE mapping for cloud posture management workflows.

This skill guides users on performing advanced, cloud-native threat hunting using AWS Detective. It leverages interactive behavior graphs, entity investigation timelines, and GuardDuty correlations to automatically analyze AWS logs (CloudTrail, VPC Flow Logs, etc.). Users can efficiently investigate suspicious IAM users, detect lateral movement, and correlate complex attack narratives across multiple AWS services.

A guide for security researchers focused on finding exploitable, remote-reachable vulnerabilities for bug bounties or responsible disclosure. It emphasizes high-signal flaws such as SSRF, RCE, and SQL injection, while guiding users through the professional triage and PoC creation process for penetration testing.

Provides step-by-step techniques for assessing AWS security, covering IAM enumeration, privilege escalation, SSRF metadata attacks, S3/Lambda exploitation, and red-team persistence workflows with recommended tools and commands.

Enables structured cloud penetration testing across Azure, AWS, and GCP by guiding reconnaissance, authentication, enumeration, exploitation, and persistence workflows for authorized assessments.

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 guide provides step-by-step instructions for setting up a development environment to use AWS CDK (Cloud Development Kit) with Python. It covers installing prerequisites (Node.js, AWS CLI), initializing a CDK project, managing Python dependencies, and mastering the full deployment workflow, enabling users to define and deploy scalable AWS infrastructure as code.