This concentration was developed in conjunction with the U.S. National Security Agency (NSA) providing an invaluable tool for any systems security engineering professional. CISSP®-ISSEP is the guide for incorporating security into projects, applications, business processes, and all information systems. Security professionals are hungry for workable methodologies and best practices that can be used to integrate security into all facets of business operations. The SSE model taught in the IATF portion of the course is a guiding light in the field of information security and the incorporation of security into all information systems.
Attendees to TN-812: Information Systems Secuirty Engineering Professional (ISSEP) will receive TechNow approved course materials and expert instruction.
The course teaches students to use the sort, grep, sed, & awk utilities within Unix. Systems administrators, Unix users, & programmers benefit from the course showing them how to use the command line applications of sort, grep, sed, & awk commands as well as using sed & awk scripts that develop the users skills with the full power of these utilities.
Attendees to TN-223: Advanced Shell Programming will receive TechNow approved course materials and expert instruction.
Dates/Locations:
No Events
Duration: 3 Days
Course Objectives:
Sorting files by line or field
Regular Expressions (meta character) with grep commands to locate specific lines in files
Performing non-interactive editing tasks with the sed command
Writing simple sed scripts to perform complex editing tasks
Using awk variables & arrays to sort data
Employing awk programs to manipulate numeric & textual data
Performing formatted printing in awk
Writing simple awk programs to write reports from data files
Using built-in awk functions & defining new functions
Write awk programs that make decisions based on numeric or string comparisons (branches & loops)
Grep, egrep extended metacharacters, combinations-lab advanced combinations- lab Sed
Students should have a basic knowledge of UNIX commands including rm, cp, man, cat, & mkdir. Navigating directory structure using commands such as ls, cp, & pwd. Creating and editing files with the vi editor or text editor. Use of basic programming constructs, & commands such as variables & loops & how to write a simple program in a programming language.
The HCISPP is the only certification that combines cybersecurity skills with privacy best practices and techniques. It demonstrates you have the knowledge and ability to implement, manage, and assess security and privacy controls to protect healthcare organizations using policies and procedures established by the cybersecurity experts at (ISC)2. TechNows HCISPP Certification Boot Camp is a comprehensive review of Healthcare cybersecurity with privacy best practices & industry best practices.
Attendees to TN-8155: HCISPP Certification Preparation Seminar will receive TechNow approved course materials and expert instruction..
Date/Locations:
No Events
Course Duration: 5 days
Course Objectives:
Strategically focus your preparation for HCISPP Certification
Cover a broad spectrum of topics in the 7 domains of the HCISPP Common Body of Knowledge (CBK)
Gain knowledge on the Healthcare industry including third party relationships and health data management concepts
Identify applicable regulations, compliance frameworks, privacy principles and policies to protect information security
Develop risk management methodology and identify control assessment procedures
Audience:
The HCISPP certification is ideal for security professionals responsible for safeguarding protected health information (PHI). Take this HCISPP training course to prepare to manage and implement security controls for healthcare information. HCISPPs are instrumental to a variety of job functions: Compliance Officer, Information Security Manager, Privacy Officer, Compliance Auditor, Risk Analyst, Medical Records Supervisor, IT Manager, Privacy & Security Consultants, and Health Information Manager.
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.
