Skill UI

This comprehensive guide outlines security best practices for utilizing Vast.ai's cloud environment. It covers secure API key management, hardening SSH access to GPU instances, implementing proper data cleanup before instance destruction, and adhering to robust network security protocols. Use this when setting up, auditing, or deploying sensitive AI/ML workloads on shared cloud hardware.

Expert resource for designing, deploying, and optimizing serverless applications on the Cloudflare Edge Network. Covers advanced topics including Workers, KV, D1, Durable Objects, and R2 storage. Ideal for building high-performance, low-latency full-stack applications and implementing edge security features.

This skill provides comprehensive operational controls for long-lived, cloud-hosted agent workloads. It manages the entire lifecycle—from deployment and scaling to observability and security. Features include detailed monitoring (logs, metrics, traces), safety controls (kill switches, least privilege), and robust change management processes (rollout, rollback, auditing). Ideal for mission-critical microservices and background agents.

This skill guides users on querying Azure Monitor activity and sign-in logs using KQL to detect sophisticated security threats. It covers identifying suspicious administrative activities, impossible travel scenarios, privilege escalation attempts, and unauthorized resource modifications. Ideal for Security Operations Center (SOC) analysts building advanced threat hunting rules or developing cloud SIEM detections.

This tool detects abnormal access patterns across major cloud storage services (AWS S3, GCS, Azure Blob Storage). By analyzing audit logs like CloudTrail, it uses statistical baselines and time-series anomaly detection to identify suspicious activities such as after-hours bulk downloads, access from new IPs, or unusual API call spikes. It is crucial for investigating potential data exfiltration incidents or building robust cloud security detection rules.

Perform comprehensive security audits across AWS, Azure, and GCP by assessing infrastructure configurations against established CIS Foundations Benchmarks. This skill guides users through running automated scans using industry tools like Prowler and ScoutSuite, interpreting failed controls, identifying security gaps, and implementing systematic remediation to ensure continuous compliance and maintain a robust security posture.

This guide details comprehensive methods for auditing Terraform infrastructure-as-code (IaC) against security misconfigurations. By leveraging industry-standard tools like Checkov, tfsec, Terrascan, and Open Policy Agent (OPA), users can detect critical vulnerabilities—such as overly permissive IAM policies, public resource exposure, and missing encryption—before cloud deployment. It is essential for integrating robust security gates into CI/CD pipelines and enforcing compliance standards.

Guides security architects through designing and deploying a continuous CSPM program across AWS, Azure, and GCP, covering tool selection, policy baselines, automation, and SOC integration to monitor misconfigurations and prioritize remediation.

A comprehensive guide for responding to security incidents across major cloud providers (AWS, Azure, GCP). It details detection methods using cloud-native logs, containment strategies for compromising identities, evidence preservation techniques, and investigation steps for common cloud attack patterns.

A comprehensive guide for implementing enterprise-grade Security Access Service Edge (SASE) architectures using Palo Alto Networks Prisma Access. This skill covers configuring ZTNA connectors, GlobalProtect agents, security policies, and device posture checks (HIP) to provide unified, cloud-delivered security, replacing traditional VPNs and maintaining zero trust principles across remote and branch offices.

This skill analyzes AWS CloudTrail logs to detect suspicious API call patterns, such as new event sources, geographic anomalies, or high-frequency usage. It establishes a statistical baseline of normal activity and flags deviations indicative of compromised credentials, privilege escalation, or insider threats, providing a detailed JSON report for security investigation and threat hunting.

A comprehensive solution for identifying and preventing the accidental commitment of exposed AWS credentials, API keys, and session tokens within source code, configuration files, and git history. It integrates TruffleHog and git-secrets into CI/CD pipelines and pre-commit hooks, providing critical protection against credential theft and unauthorized cloud access in a DevSecOps environment. Essential for security auditing and compliance.