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Build automated pipelines to respond to AWS GuardDuty findings. This solution uses EventBridge to detect high-severity threats and triggers a Lambda function. The function automatically quarantines compromised resources (e.g., EC2 instances), creates forensic EBS snapshots, and sends detailed notifications via SNS, drastically reducing Mean Time To Respond (MTTR). Ideal for proactive cloud security posture management.

A comprehensive guide for deploying and operationalizing Amazon GuardDuty. It provides continuous, intelligent threat detection across core AWS services including S3, EKS, and EC2 runtime monitoring. Use this skill to investigate suspicious activity, detect compromised credentials, or build automated incident response playbooks using EventBridge and Lambda for proactive security.

Analyzes Windows Security EVTX logs to detect Kerberos golden ticket assaults by correlating event IDs 4768, 4624, and 4672, flagging long-lived TGTs, privilege escalations without group changes, SID inconsistencies, and outputting a timeline-based report.

Utilizes SIEM platforms (Splunk/Elastic) and Windows Event Log analysis (ID 4769) to detect indicators of Golden Ticket attacks. This skill analyzes Kerberos logs for specific anomalies such as RC4 encryption downgrades, abnormal ticket lifetimes, and correlation failures between TGT and TGS requests, crucial for advanced threat hunting in Active Directory environments.

This skill provides a comprehensive framework to detect and prevent privilege escalation within Kubernetes pods. It merges preventative measures using admission controllers (like OPA Gatekeeper or Pod Security Admission) to enforce security policies, with runtime monitoring using tools like Falco. It detects dangerous capabilities, unauthorized host access, and suspicious syscall patterns, making it crucial for hardening K8s security posture.

This comprehensive guide details robust techniques for managing the entire API key lifecycle. It mandates secure key generation with high entropy, server-side hashing (SHA-256/bcrypt) to prevent plaintext storage, and implements granular controls like per-key scoping (endpoints, IPs, rate limits). Key features include zero-downtime key rotation workflows and automated monitoring for key leakage across code repositories and logs. Ideal for server-to-server API authentication.

This solution enforces strict data contract validation for all APIs using OpenAPI Specification (OAS) and JSON Schema. It ensures that all incoming requests and outgoing responses conform to predefined structures. By implementing validation at both the API Gateway (runtime) and during development (shift-left), it effectively prevents critical security vulnerabilities such as SQL injection, XSS, unauthorized data leakage, and mass assignment.

This guide details the deployment and configuration of Suricata as a high-performance, inline Intrusion Prevention System (IPS). It covers setting up NFQueue mode, writing custom detection rules, managing commercial and community rulesets (like Emerging Threats), and optimizing performance for active, real-time blocking of malicious network traffic. Essential for robust security architecture and compliance.

This guide focuses on developing multi-event correlation rules using Splunk SPL and Sigma format. It teaches how to detect Advanced Persistent Threats (APT) and lateral movement by chaining multiple Windows authentication, process execution, and network connection events across hosts within specified time windows. Use this to surface complex, multi-stage attack sequences that single-event detection rules typically miss.

Configure NextDNS as an encrypted DNS resolver (DoH/DoT) to enforce zero trust principles at the network layer. This skill guides users on deploying real-time threat intelligence filtering, blocking malicious domains, preventing cryptojacking, detecting DNS rebinding, and enforcing strict organizational DNS policies across endpoints, aligning with modern cybersecurity standards.

A comprehensive guide and workflow for digital forensic investigators to analyze ransomware artifacts. This process involves preserving volatile evidence (memory dumps), identifying the ransomware variant from file extensions and ransom notes, establishing the attack timeline using Prefetch and Event Logs, and extracting critical Indicators of Compromise (IoCs) such as Bitcoin addresses and Tor sites. Essential for incident response and recovery planning.

This skill guides users on performing deep runtime threat detection and forensics in cloud-native environments using Falco. It leverages Falco YAML rules to monitor syscalls, detecting critical security events such as shell spawning, file tampering (e.g., /etc/shadow), network anomalies, and privilege escalation within containers and Kubernetes clusters. Ideal for incident response, security auditing, and validating container runtime security controls.