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Analyzes CPU, memory, I/O, and database traces to find and fix bottlenecks, offering remediation strategies when diagnosing slow applications, optimizing resource use, or preventing performance issues.

This skill is designed for advanced error detective work. It analyzes complex log streams, correlates stack traces across distributed systems, and detects anomalous error patterns. It helps identify root causes by correlating errors with system deployments and changes, providing actionable findings for immediate fixes and long-term prevention strategies.

Build robust, event-driven integrations with Exa using scheduled monitoring and content alerts. This skill allows users to establish competitive intelligence pipelines, track content changes over time, and automate research digests. It supports new article detection, similarity monitoring, and reliable webhook delivery via background queues.

This comprehensive checklist guides the operational validation of the Juicebox AI talent search and analysis platform in a production environment. It ensures system reliability, data security, and service continuity by reviewing critical areas such as API key management, rate limit handling, robust error detection (circuit breakers, exponential backoff), data encryption (GDPR/CCPA compliance), and comprehensive monitoring setup. It is essential for preventing service failures and maintaining search data integrity.

A dedicated tool for forensic analysis of Windows PowerShell Script Block Logs (Event ID 4104) captured in EVTX files. It reconstructs multi-block scripts, applying advanced detection heuristics such as entropy analysis and pattern matching to identify obfuscated commands, encoded payloads (Base64), download cradles, and AMSI bypass attempts, crucial for threat hunting and incident response.

This guide teaches security teams how to deploy and operationalize Amazon GuardDuty for continuous, comprehensive threat detection across entire AWS accounts and workloads. It covers enabling protection plans for S3, EKS, EC2 runtime monitoring, and Lambda, interpreting various finding severity levels, and building robust, automated incident response playbooks using EventBridge and AWS Lambda for immediate containment actions.

This script detects and analyzes sophisticated fileless malware techniques that operate entirely in system memory. It specializes in identifying threats that utilize Living Off the Land Binaries (LOLBins), WMI event subscriptions, and registry-resident payloads, bypassing traditional file-based security controls. It is ideal for forensic investigations, threat hunting, and building advanced detection rules in modern enterprise environments.

A comprehensive guide and framework for detecting attacker lateral movement within enterprise networks. It details the use of network flow analysis (Zeek), authentication log review (Windows Event Logs, Kerberos), and dedicated SIEM correlation rules (Splunk, Elastic) to identify techniques like Pass-the-Hash and RDP hopping. Ideal for threat hunters and security engineers building detection pipelines.

This comprehensive guide configures Fail2ban to implement a robust, layered defense mechanism for network security. It sets up custom filters and actions to automatically detect and mitigate threats such as port scanning, SSH brute force attempts, and network reconnaissance. By dynamically banning malicious IP addresses and providing security alerts, this skill significantly enhances the host-based intrusion prevention capabilities of your system.

This skill provides advanced threat hunting capabilities to detect NTLM relay attacks within Active Directory environments. It analyzes critical Windows Security Event 4624 logs, specifically focusing on logon type 3 using NTLMSSP authentication. The detection logic identifies suspicious patterns, including IP-to-hostname mismatches, rapid multi-host authentications, and lack of SMB signing enforcement, helping SOC analysts pinpoint unauthorized credential access attempts.

This guide details a threat hunting technique for detecting persistence mechanisms utilizing Windows Registry Run keys (T1547.001). By analyzing Sysmon Event ID 13 logs, it identifies suspicious auto-start entries pointing to temporary directories, encoded PowerShell commands, or abused LOLBins. Essential for SOC analysts and security engineers investigating incidents and developing robust detection rules.

This skill guides threat hunters in detecting MITRE ATT&CK T1098 account manipulation techniques. It focuses on analyzing Windows Security Event Logs (like 4738, 4728) to uncover shadow administration creation, suspicious group membership changes, SID history injection, and unauthorized credential modifications, crucial for incident response and building robust detection rules.