Courses Catalog

SEC504 is a foundational course that provides a comprehensive understanding of the tools and techniques used by attackers, as well as strategies for detecting and responding to cyber incidents. The course teaches participants to think like an attacker while strengthening their defensive skills. Key topics include reconnaissance, scanning, exploitation, post-exploitation tactics, and malware analysis.

SEC401 is a comprehensive cybersecurity fundamentals course designed to equip professionals with the essential skills needed to secure networks, endpoints, and cloud environments. The course covers key security concepts, including risk management, cryptography, access controls, incident response, and security operations. Participants will learn how to identify vulnerabilities, defend against cyber threats, and implement security best practices across modern IT infrastructures.

SEC275 is an entry-level course designed to provide a fundamental understanding of computing, technology, and cybersecurity concepts. It is ideal for individuals new to cybersecurity or those looking to build a strong technical foundation. The course covers essential topics such as computer hardware and software, networking basics, operating systems, and cybersecurity principles.

It’s time to master your data. This course will teach you how to use the Elasticsearch, Logstash, and Kibana (ELK) to build your own IDS console, investigation platform, or security analysis lab. You must master your data If you want to catch bad guys and find evil. But, how can you do that? That’s where the ELK stack comes in. ELK is Elasticsearch, Logstash, and Kibana and together they provide a framework for collecting, storing, and investigating network security data. In this course, you’ll learn how to use this powerful trio to perform security analysis. This isn’t just an ELK course, it’s a course on how to use ELK specifically for incident responders, network security monitoring analysts, and other security blue teamers. Syllabus Elasticsearch: How data is stored and indexed. Working with JSON documents. Logstash: How to collect and manipulate structured and unstructured data. Kibana: Techniques for searching data and building useful visualizations and dashboards. Beats: Use the agent to ship data from endpoints and servers to your ELK systems. HTTP Proxy Logs File-Based Logs (Unix, auth, and application logs) Windows Events & Sysmon Data NetFlow Data IDS Alerts Dealing with any CSV file you’re handed Parsing unstructured logs, no matter how weird they are Applied Network Defense | ELK for Security Analysis

Most security analysis and detection tools support matching with regular expressions because of limitations in their own feature set. This means that if you can write regular expressions, you can search with infinite precision. This applies to IDS engines, SIEMs, and even command line tools like grep. The phrase “searching for a needle in a haystack” is overused, but it’s a serious component of what security analysts do. A large part of our success is contingent on being able to search through large repositories of data and match things that meet very specific criteria. Demystifying Regular Expressions will help you do exactly that. Syllabus The most common uses of regular expressions and how to apply them in places you weren’t even aware of. The process of iteratively building and testing regular expressions for things you want to match. Techniques for overcoming common gotchas like dealing with whitespace How to Evaluate the efficiency of expressions by the number of steps it takes to match. A definitive guide to escaping so you’ll know when and how to do it How quantifiers can be used to match specific numbers of data occurrences How to use capture groups to reference specific matched content and perform additional operations on it Complex behavioral structures like lookarounds and conditionals The use of modifiers to match case-sensitive, enable free-spacing, or match in single line mode Applied Network Defense | Demystifying Regular Expressions

A structured system to ensure you’re never at a loss for places and methods to start hunting for evil. Practical Threat Hunting is a foundational course that will teach you how to approach threat hunting using a proven, structured, repeatable framework. Practical Threat Hunting is the course that will teach you to hunt in a way that will never leave you at a shortage of places to start or techniques to manipulate data to spot anomalies. You’ll build skills through a series of expert-led lectures, scenario-based demonstrations, and hands-on lab exercises. Through a combination of theory and application, you’ll learn the basics of threat hunting and apply them to your network immediately. Syllabus Two hunting frameworks: Attack-Based Hunting (ABH) and Data-Based Hunting (DBH) Techniques for leveraging threat intelligence and the MITRE ATT&CK framework for hunting input The 9 most common types of anomalies you’ll encounter when reviewing evidence. The 4 ways threat hunters most commonly transform data to spot anomalies Typical staffing models for hunting capabilities in organizations of all sizes along with pros/cons 5 metrics that support and enable threat hunting operations My two-step system for effective note taking while hunting (and how to transition those notes to longer-term storage for easy searching) An ideal design for a hunter’s wiki/knowledgebase A 5-step framework for dissecting and simulating attacks to prepare for hunting expeditions Applied Network Defense | Practical Threat Hunting

Osquery for Security Analysis will teach you how to use Osquery to perform thorough investigations of hosts on your network. This isn’t just an Osquery tutorial, it’s a course designed to help you improve your host-based investigation skills using one of the best tools for the job. syllabus How to craft SQL queries to interrogate Windows, Linux, and MacOS hosts Common queries for performing software inventory and asset control Strategies for interrogating processes to determine if they are malicious Techniques for uncovering persistence and lateral movement Triaging suspicious systems using high-value data tables Hunting leveraging MITRE ATT&CK techniques Complete deployment of distributed Osquery across your network using FleetDM and ElasticStack How to leverage differential queries to monitor state changes and generate alerts Extending Osquery with extensions Applied Network Defense | Osquery for Security Analysis

Capturing packets is easy, but making sense of them isn’t. This course will teach you the fundamentals of packet analysis. You’ll learn all about common protocols, how to troubleshoot network issues, and how to investigate security incidents at the packet level. It’s easy to fire up Wireshark and capture some packets…but making sense of them is another story. There’s nothing more frustrating than knowing the answers you need lie in a mountain of data that you don’t know how to sift through. That’s why I wrote the first Practical Packet Analysis book a decade ago. That book is now in its third edition, has been translated to several languages, and has sold over 25,000 copies. Now, I’m excited to create an online course based on the book. The Practical Packet Analysis online course is the best way to get hands on visual experience capturing, dissecting, and making sense of packets. Syllabus How networking works at the packet level. How to interpret packet data at a fundamental level in hexadecimal or binary. Basic and advanced analysis features of Wireshark. How to analyze packets on the command line with tshark and tcpdump. Reducing capture files with Berkeley packet filters and Wireshark display filters. Techniques for capturing packets to make sure you’re collecting the right data. How to interpret common network and transport layer protocols like IPv4, IPv6, ICMP, TCP, and UDP. How to interpret common application layer protocols like HTTP, DNS, SMTP, and more. Normal and abnormal stimulus and response patterns for common protocols. Troubleshooting connectivity issues at the packet level. Techniques for carving files from packet streams. Understanding network latency and how to locate the source. How common network attacks are seen by an intrusion detection systems. Techniques for investigating security alerts using packet data. How malware communicates on the network. Applied Network Defense | Practical Packet Analysis

Intrusion Detection Honeypots is the foundational guide to building, deploying, and monitoring honeypots — security resources whose value lies in being probed and attacked. These fake systems, services, and tokens lure attackers in, enticing them to interact. Unbeknownst to the attacker, those interactions generate logs that alert you to their presence and educate you about their tradecraft. Intrusion Detection Honeypots teaches you how to: – Use the See-Think-Do framework to integrate honeypots into your network and lure attackers into your traps. syllabus Leverage honey services that mimic HTTP, SSH, and RDP. Hide honey tokens amongst legitimate documents, files, and folders. Entice attackers to use fake credentials that give them away. Create honey commands, honey tables, honey broadcasts, and other unique detection tools that leverage deception. Monitor honeypots for interaction and investigate the logs they generate. Chris Sanders | Intrusion Detection Honeypots: Detection through Deception

Building Intrusion Detection Honeypots will teach you how to build, deploy, and monitor honeypots designed to catch intruders on your network. You’ll use free and open source tools to work through over a dozen different honeypot techniques, starting from the initial concept and working to your first alert. Building Intrusion Detection Honeypots is the seminal course on strategic honeypot deployment for network defenders who want to leverage deception to find attackers on their network and slow them down. syllabus What makes an intrusion detection honeypot different from research honeypots. How to leverage the four characteristics of honeypots for the defender’s benefit: deception, interactivity, discoverability, and monitoring. How to think deceptively with an overview of deception from a psychological perspective. How to use the See-Think-Do framework to integrate honeypots into your network and lure attackers into your traps. Tools and techniques for building service honeypots for commonly attacked services like HTTP, SSH, and RDP. How to hide honey tokens amongst legitimate documents, files, and folder. To entice attackers to use fake credentials that give them away. Techniques for embedding honey credentials in services and memory so that attackers will find and attempt to use them. How to build deception-based defenses against common attacks like Kerberoasting and LLMNR spoofing. Monitoring strategies for capturing honeypot interaction and investigating the logs they generate. Applied Network Defense | Building Intrusion Detection Honeypots

Detection Engineering with Sigma will teach you how to write and tune Sigma rules to find evil in logs using real-world examples that take you through the detection engineering process. We’ll dissect real Sigma detection rules focused on finding a variety of malicious activity in diverse log sources. Once you have a good handle on these components, you’ll start writing and tuning your own rules in a series of case studies. In some case studies, I’ll describe a detection gap and you’ll write a rule on your own before I show you how I tackled the problem myself. In other scenarios, you’ll write or modify a rule on your own and submit it to me for feedback. In this course, you are never alone! I will be with you 100% of the way to help you understand the structure of Sigma rules, how to get from idea to finished rule, and best practices for writing resilient rules.

Splunk is a data analysis platform that allows security practitioners to centralize data, search through it, correlate events, and create security analytics and dashboards. It’s also the most popular commercial SIEM used by security teams to perform investigations and threat hunting. Splunk for Security Analysts will teach you how to use Splunk to onboard data, extract meaningful fields, and search through it using real security data to conduct security research and investigations. This course goes beyond the documentation to provide a diverse set of real-world security data that you’ll use to gain confidence with Splunk’s extensive capabilities. syllabus The Splunk Data Pipeline Data Onboarding Finding and Exploring Data Enrichment and Advanced Filtering Sharing, Scheduling, and Alerting Visualization and Dashboards Applied Network Defense | Splunk for Security Analysts