
Learn open source intelligence (osint) to map your threat surface using websites, job listings, and LinkedIn; use harvester and showdown to gather emails, subdomains, and technologies.
Explore confidence levels and standardized threat language to improve threat modeling and risk assessment. Learn the admiralty scale, information reliability, and estimative language for clear, interoperable communication.
Define commodity malware as off-the-shelf, widely available malicious software used for opportunistic, untargeted attacks, contrasted with advanced, targeted malware used by APT groups.
Identify and validate vulnerabilities by assessing asset criticality, performing active and passive scans, enumerating services and versions, and validating findings to prioritize risk.
Explore open source tools for assessing cloud security and security posture, including ScoutSuite, Prowler, and Pacu, to audit multi-cloud and AWS configurations, report findings, and spot misconfigurations.
Learn threats to building automation and vehicle systems, including PLC vulnerabilities, buffer overflows, hardcoded credentials and cryptographic keys, web-based interfaces, and CAN bus risks via OBD-II ports and wireless access.
Explore controller systems, including ICS/SCADA, PLCs, MODBUS, HMIs, and DCS, and their security threats. Examine web app risks like injection and DoS, Stuxnet-style attacks, with TLS as a mitigation.
Explore IoT and embedded systems threats, including embedded operating systems, real-time OS, and FPGA risks. Learn how CVEs, remote access, and supply-chain attacks compromise devices and how to mitigate.
Explore CVSS metrics from base through temporal and environmental metrics, and learn how access vector, complexity, privileges, user interaction, scope, and confidentiality, integrity, availability drive severity for prioritization.
Explore threats across cloud deployment models—public, private, hybrid, and community—including multi-tenancy, encryption, and compliance. Learn how identity authentication, authorization, and accounting, redundancy, and defined roles help secure these environments.
Explore vulnerability types such as improper error handling, insecure direct object references, SQL injection, and race conditions, and learn mitigations through secure coding, authentication controls, and patching.
Explore identity and access management fundamentals, including privileged management and DAC, MAC, RBAC, ABAC, MFA, SSO, federation, and manual review.
Explore hardware assurance fundamentals, including the trusted platform module, hardware security modules, anti-tamper, and secure firmware updates to protect data at rest and in transit.
Explore the components of trend analysis to predict security outcomes, using frequency, volume, and deviation against baselines, and apply metrics like alerts, incidents, response times, and compliance.
Identify security events by analyzing packets and protocols with Wireshark, spot unrecognized connections and beaconing, and inspect DNS, Telnet, and FTP traffic for forensics.
Explore flow analysis to inspect network traffic, identify protocols and ports, and detect anomalies with alerts. Use NetFlow, Argus, and Zeke for visualization and reporting.
Explore malware analysis techniques, including fileless malware, droppers, and living off the land with PowerShell and Python, then learn reverse engineering using strings and decompilers.
Explore the differences between artificial intelligence, machine learning, and deep learning, including expert systems, data requirements, and how each powers end-point protection and large data sets.
Learn how to communicate security incidents securely and methodically using out-of-band channels, identify who must be informed, comply with GDPR, and prioritize high-value data in incident response.
Explore the six incident response phases from preparation to lessons learned, including identification, containment, eradication, and recovery, with practical planning, escalation, and playbooks.
Explore non-technical controls basics, including data governance, the data life cycle, and data classification to uphold confidentiality and integrity through purpose limitation, data minimization, and sovereignty.
Explore advanced technical controls for de-identification, data masking, tokenization, and digital rights management. Learn how re-identification risks and data roles protect PII and PHI in large data sets.
Explore how business impact analysis informs risk decisions by assessing system importance, potential losses, and recovery metrics like MTD, RTO, WRT, and RPO.
Define the four phases of digital forensics: identification, collection, analysis, and reporting, through policies, procedures, and a code of ethics; emphasize chain of custody and work product retention.
This course is designed for cybersecurity professionals who want to further their knowledge and skills in detecting and preventing cybersecurity threats.
In this course, you will learn how to perform data analysis and interpret the results to identify and respond to cybersecurity threats. You will also learn how to use various tools and techniques to prevent cybersecurity incidents from occurring.
The course covers the following topics:
1. Threat and Vulnerability Management: This topic covers the identification and mitigation of vulnerabilities and threats, including assessing risk and conducting vulnerability scans.
2. Software and Systems Security: This topic covers the security of software and systems, including secure coding practices, software security testing, and secure network protocols.
3. Security Operations and Monitoring: This topic covers security operations and monitoring, including incident response, threat hunting, and security information and event management (SIEM).
4. Incident Response: This topic covers the steps involved in responding to security incidents, including identifying and containing the incident, analyzing and remediating the impact, and implementing improvements to prevent future incidents.
5. Compliance and Assessment: This topic covers compliance and assessment, including regulatory compliance, risk management, and security audits.
Whether you are new to the cybersecurity field or an experienced professional looking to enhance your skills, this course will provide you with the knowledge and skills you need to succeed. So, let's get started!
"This course qualifies for CompTIA continuing education units (CEUs)."
Available CEUs* for this Course Series : 25
By completing this course series, you can earn up to 25 CEUs.
(*CEUs are entirely dependent on the organization you are applying)