Skill UI

This comprehensive guide details the multi-step workflow for responding to sophisticated phishing incidents. It covers everything from initial triage and detailed email header analysis to analyzing malicious URLs and attachments in sandboxes. Key steps include determining the scope of impact, implementing immediate containment actions (like purging emails and revoking sessions), and executing thorough remediation to neutralize the threat and recover affected accounts.

This skill uses the Python azure-mgmt-storage SDK to perform comprehensive security audits on Azure Blob and ADLS storage accounts. It detects critical misconfigurations, including public access exposure, weak or long-lived SAS tokens, lack of encryption at rest, failure to enforce HTTPS, and outdated TLS versions. The output is a detailed, risk-scored report with remediation recommendations, essential for SOC analysts and security posture management.

This skill details how to establish continuous compliance monitoring for AWS resources. It covers deploying managed and custom Config rules aligned with industry standards like CIS and PCI DSS. The workflow includes setting up recording, implementing automated remediation using SSM, and aggregating compliance data across multiple AWS accounts using AWS Organizations. Ideal for security auditing and guardrail deployment.

This skill provides a comprehensive guide to deploying AWS Security Hub for centralized Cloud Security Posture Management (CSPM). It covers aggregating security findings from multiple sources (GuardDuty, Inspector, Macie, and third-party tools), enabling compliance checks against standards like CIS and PCI-DSS, and automating remediation workflows across multi-account AWS organizations. Ideal for security teams needing continuous compliance monitoring and robust governance.

A comprehensive guide to implementing AWS Security Hub for centralized security posture management. It enables the aggregation of findings from multiple AWS accounts, evaluates compliance against industry standards (like CIS, PCI DSS, NIST), and configures automated remediation workflows using EventBridge and Lambda for robust organizational risk management.

This guide details the implementation of Microsoft Defender for Cloud, enabling comprehensive cloud security posture management (CSPM) and workload protection (CWPP). Learn how to secure VMs, containers, databases, and storage accounts, configure security recommendations, and establish automated remediation workflows to ensure continuous compliance and robust cloud defense.

Audits a domain’s email authentication by querying SPF, DKIM, and DMARC DNS records using dnspython, validating syntax/counts, flagging common spoofing risks, and producing remediation guidance.

Integrates FIRST's Exploit Prediction Scoring System (EPSS) API to estimate the probability of a CVE being exploited in the wild within 30 days. This tool moves beyond traditional severity scoring (CVSS) by providing a likelihood measure, allowing security teams to implement a risk-based remediation strategy by combining EPSS scores with CVSS scores to assign immediate, urgent, or low priorities.

This skill provides a structured framework for implementing patch management in Operational Technology (OT) and Industrial Control Systems (ICS) environments. It addresses the critical balance between cybersecurity remediation and maintaining continuous operational safety and availability. Key components include risk-based patch prioritization, vendor compatibility testing, staged deployment through test environments, managing maintenance windows, and implementing compensating controls for unpatchable assets.

This guide details how to implement sophisticated Security Orchestration, Automation, and Response (SOAR) playbooks using Palo Alto Cortex XSOAR. It demonstrates full lifecycle automation, such as phishing incident investigation, requiring enrichment of URLs, IPs, and files, followed by automated containment actions (e.g., blocking senders, purging mailboxes). Mastering this allows SOC teams to drastically reduce Mean Time To Respond (MTTR) by automating detection, analysis, and remediation steps across multiple security tools.

This skill defines the process and framework for establishing mandatory Service Level Agreements (SLAs) for mitigating identified vulnerabilities. It guides users on how to calculate remediation timeframes based on vulnerability severity (CVSS, KEV), asset criticality (Tier 1, 2, 3), and exploit availability. The process includes setting up escalation chains, defining exception processes, and tracking key performance indicators (KPIs) like Mean Time to Remediate (MTTR) to ensure robust security governance and compliance.

This skill implements an automated system to monitor and alert on vulnerabilities that exceed their defined remediation Service Level Agreements (SLAs). It supports severity-based timelines, complex escalation workflows (e.g., PagerDuty, email), and generates comprehensive compliance reports, ensuring continuous adherence to security best practices.