Skill UI

This specialized skill acts as an expert AI auditor for Food Safety Modernization Act (FSMA) compliance. It is designed to review critical records, including HACCP plans, Preventive Controls, and Supply Chain documentation for food processing facilities. Use it to simulate FDA inspections, identify compliance gaps (such as missing CCPs or inadequate corrective actions), and receive actionable guidance to ensure the highest standards of food safety.

This comprehensive guide details advanced forensic techniques for detecting and analyzing sophisticated malware that operates at the system's deepest levels, such as the Master Boot Record (MBR), Volume Boot Record (VBR), and UEFI firmware. It covers boot sector disassembly, UEFI module inspection, and memory forensics (SSDT/DKOM). Use this when standard security tools fail or when investigating nation-state level compromises.

A comprehensive guide for deep packet inspection and network forensics using Wireshark and tshark. This skill is critical for incident response, where it allows users to capture, filter, and analyze network packet data to identify malicious command-and-control traffic, diagnose complex protocol issues, extract indicators of compromise (IOCs), and reconstruct data exfiltration paths. Use it for validating security rules and understanding network anomalies.

A comprehensive guide to deploying and configuring Suricata, a high-performance IDS/IPS. This skill covers setting up multi-threaded packet capture, integrating Emerging Threats rulesets, generating structured EVE JSON logs, and enabling deep protocol inspection (HTTP, TLS, DNS). It enables real-time threat detection and seamless SIEM integration for centralized security monitoring.

A comprehensive guide for security professionals on detecting and preventing ARP spoofing and poisoning attacks. The skill covers multiple layers of defense, including implementing Dynamic ARP Inspection (DAI) on managed switches, utilizing ARPWatch for continuous monitoring, performing deep packet inspection with Wireshark, and developing custom Python scripts for real-time anomaly detection. Essential for mitigating Man-in-the-Middle (MitM) attacks at Layer 2.

This guide details the process of deploying and configuring Tofino industrial firewalls for critical OT/ICS environments. It provides architectural blueprints and Python-based rule generators to implement deep packet inspection (DPI) for key industrial protocols like Modbus, EtherNet/IP, and S7comm. This ensures granular, protocol-aware access control and robust zone segmentation for safeguarding SCADA and PLCs.

Suricata is a high-performance, open-source network threat detection engine used for deep packet inspection. This skill details the deployment and configuration of Suricata in Intrusion Prevention System (IPS) mode. It covers setting up custom rules, integrating third-party rulesets (like Emerging Threats), and actively blocking malicious traffic in real time, making it essential for robust network security and compliance enforcement.

This guide details authenticated (credentialed) vulnerability scanning, which uses valid system credentials (SSH keys, domain passwords, etc.) to log into target hosts. Unlike external scanning, credentialed methods allow deep inspection of installed patches, local configurations, registry keys, and system files across diverse platforms (Linux, Windows, Network Devices). This significantly increases vulnerability detection rates and reduces false positives for comprehensive security assessments.

This tool monitors Modbus TCP communication within SCADA and ICS environments to detect security anomalies. It performs deep packet inspection, baselines normal communication patterns (e.g., typical function code distribution, register access), and applies statistical analysis to identify unauthorized register writes, reconnaissance attempts, or denial-of-service attacks targeting industrial control devices.

A comprehensive guide detailing the workflow for firmware reverse engineering. It uses tools like binwalk to identify embedded filesystems (e.g., SquashFS, CramFS), perform entropy analysis to locate hidden data, and extract components. The process covers deep inspection, credential discovery, and reporting for IoT and embedded security assessments.

A comprehensive simulation tool designed to pressure-test medical device manufacturers' Quality System Regulation (QSR) compliance against FDA standards (21 CFR 820). It covers six critical areas: complaint handling, process validation, device history records (DHRs), CAPAs, labeling, and handling of Form 483 observations. Essential for pre-inspection readiness, internal audits, and regulatory submission planning.