This is an advanced course that assumes the attendee is a qualified security professional with experience using security tools and understands the concepts behind penetration testing. Courses that build up the expertise that enables a student to succeed in this course is Security+, CEH, CISSP, and any of the GIAC certifications. This course is completely hands-on and utilizes the BackTrack tool suite from backtrack-linux.org. The course covers, in detail, various attacks and tools that are contained in the BackTrack tool suite.
Attendees to TN-335: Advanced Penetration Testing Using Open Source Tools will receive TechNow approved course materials and expert instruction.
Dates/Locations:
No Events
Duration: 5 days
Course Objectives:
Information Security and Open Source Software
Operating System Tools
Firewalls
Scanners
Vulnerability Scanners
Network Sniffers
Intrusion Detection Systems
Analysis and Management Tools
Encryption Tools
Wireless Tools
Forensic Tools
More on Open Source Software
Prerequisites:
Experience in IT Security
Solid basic knowledge of networks and TCP/IP
Experience in command line under Linux and Windows is required
TechNow develops Cyber Ranges and makes them available for conferences in support of annual meetings for Cyber Threat Response Teams. Developing scenarios and reacting to them appropriately is a big part of the value in understanding the contexts required to comprehend valuable CTI. As with many advanced TechNow security courses, there is a large hands-on ratio. This course helps Cyber Protection Teams (CPT), Defensive Cyber Operations (DCO), and Mission Defense Teams (MDT) to collect, analyze and apply targeted cyber intelligence to defensive operations in order to proactively act on and tune response to attacks by cyber adversaries. CPT, DCO, and MDT can take preemptive action by utilizing CTI, understanding CTI tools, techniques and procedures (TTPs) needed to generate and consume timely and relevant intelligence to improve resilience and prevention.
This course focuses on the collection, classification, and exploitation of knowledge about adversaries and their TTPs. . MDT puts us close the mission and helps define the internal context to be analyzed against the CTI. TechNow pushes the student to truly understand how to think about and use CTI to make a difference.
Attendees to TN-905: Cyber Threat Intelligence Analysis will receive TechNow approved course materials and expert instruction.
Date/Locations:
No Events
Course Duration: 5 days
Course Objectives:
Learn to comprehend and develop complex scenarios
Identify and create intelligence requirements through practices such as threat modeling
Utilize threat modeling to drive intelligence handling and practices
Breakdown tactical, operational, and strategic-level threat intelligence
Generate threat intelligence to detect, respond to, and defeat focused and targeted threats
How to collect adversary information creating better value CTI
How to filter and qualify external sources, mitigating low integrity intelligence
Create Indicators of Compromise (IOCs) in formats such as YARA, OpenIOC, and STIX
Move security maturity past IOCs into understanding and countering the behavioral tradecraft of threats
Breaking down threats mapped against their tradecraft to tweak IOCs
Establish structured analytical techniques to be successful in any security role
Learn and apply structured principles in support of CTI and how to communicate that to any security role.
This course is developed for those individuals seeking to pass the Project Management Institute’s PMI-ACP Exam. PMI Agile Certified Practitioner (PMI-ACP)® is one of the newest certifications offered by PMI and is expected to become the industry standard certification for agile over the next few years. The PMI-ACP® certification clearly illustrates to colleagues, organizations or even potential employers that students are ready and able to lead in this new age of product development, management, and delivery.
While preparing you for the exam, you will explore various approaches to agility including Scrum, Kanban, Lean, Extreme Programming (XP), and Test-Driven Development (TDD). By the end of the course, you’ll have mastered the practices and techniques that Agile practitioners use to improve team performance, resolve problems and engage in continuous process improvements and be equipped with job-ready skills.
This course provides students with 21 contact hours in agile practices to help attain the Project Management Institute (PMI)® credential. PMI® and PMI-ACP® are registered marks of the Project Management Institute, Inc.
Attendees to PM-224: PMI Agile Certified Practitioner (PMI-ACP) Prep Course will receive TechNow approved course materials and expert instruction.
12 months of general project experience within the last 5 years. A current PMP® or PgMP® will satisfy this requirement but is not required to apply for the PMI-ACP
8 months of agile project experience within the last 3 years
TechNow has been involved in enterprise security architectures and education since 1990. TechNow’s training program has followed the evolution of enterprise computing into security architectures. Palo Alto Networks represents the current state of security product evolution. With next generation firewall technology, the reunification of your security architecture is possible. TechNow can present the ramifications of many centralized strategies. All courses utilize enterprise security professionals with experience as instructors and can discuss the detail of implementation and the integration into an existing infrastructure.
TechNow is a mobile Pearson VUE Authorized Testing Center. Palo Alto courses can be delivered on the customer site, with certificadtion testing on the last day of the course. Take the course and get certfied, without logistical effort of getting students to a training facility and the hassle of scheduling testing.
CompTIA SecAI+ is the first certification in CompTIA’s expansion series, designed to help you secure, govern and responsibly integrate artificial intelligence into your cybersecurity operations. You’ll build the skills to defend AI systems, meet global compliance expectations and use AI to enhance threat detection, automation and innovation—so you can strengthen your expertise and help keep your organization’s systems and data secure.
SecAI+ helps you build practical AI security and automation skills on top of your existing expertise, so you can secure AI deployments, use AI‑assisted security tools with confidence, and stay ready for the next step in your cybersecurity career.
Course Objectives:
Apply AI concepts to strengthen your organization’s cybersecurity posture
Secure AI systems using advanced controls and protections to safeguard data, models, and infrastructure
Leverage AI technologies to automate workflows, accelerate incident response, and scale security operations
Navigate global GRC frameworks to ensure ethical and compliant AI adoption across industries
Defend against AI-driven threats like adversarial attacks, automated malware, and malicious use of generative AI
Integrate AI securely into DevSecOps pipelines and enterprise security strategies.
Dates/Locations:
No Events
Prerequisites: Recommended experience: 3–4 years in IT and 2+ years hands-on cybersecurity; Security+, CySA+, PenTest+, or equivalent recommended
SecAI+ (V1) exam objectives summary
Basic AI concepts related to cybersecurity (17%)
Explain core AI principles and terminology: Machine learning, deep learning, natural language processing, and automation.
Identify AI applications in security: Use cases for AI in threat detection, defense, and security operations.
Recognize AI-driven threats: Automated phishing, polymorphic malware, adversarial machine learning, and malicious use of generative AI.
Securing AI systems (40%)
Implement security controls: Protect AI systems, data, and models using robust technical safeguards.
Secure AI deployment environments: Apply best practices across on-premises, cloud, and hybrid infrastructures.
Mitigate adversarial risks: Defend against attacks targeting AI models, data pipelines, and inference layers.
AI-assisted security (24%)
Enhance detection and response: Use AI-driven tools to identify anomalies, detect threats, and accelerate incident remediation.
Automate security workflows: Integrate AI for event triage, alert correlation, and response orchestration.
Apply AI techniques in operations: Incorporate AI into threat modeling, behavior analysis, and continuous monitoring.
AI governance, risk, and compliance (19%)
Understand regulatory frameworks: Identify global governance requirements and their implications for AI adoption.
Integrate GRC into AI projects: Incorporate governance, risk management, and compliance practices throughout the AI lifecycle.
Ensure responsible AI use: Apply ethical guidelines, legal standards, and industry frameworks such as GDPR and NIST AI RMF.
