TechNow provides an array of courses to meet our customer's requirements. Courses that do not fit into our major course categories and custom or specialized courses appear here.
Here are courses about specilaized Software or Hardware:
Course Overview:
This course is very hands-on with respect to SP 800-53 controls as related to ICD-503, leveraging experience with DCD 6/3, and incorporating a broad array of technologies found in the field. Assessors and Auditors have to face many technologies that are not part of the main stream. TechNow has gone to great efforts to build a very broad, comprehensive, and complex lab to simulate many scenarios and architectures. Technologies such as a network appliance that is not a typical infrastructure product, a radio/satellite communications device, or many other technologies that build up a weapon system. Students learn how controls are integrated into many different devices and how they fit in the overall security architecture of monitoring, reporting, and compliance testing.
Directly discussed are overlays for different requirements i.e.: tactical, medical, network type: JWICS, SIPR; IC or AF. TechNow has developed a funnel concept to overlays to exemplify the encapsulation of a control within different requirements. TechNow has over 15 years experience in Trusted Solaris/Trusted Extensions and labeled security. Cross Domain overlays are presented that fits the work flow of an assesor. PII overlays and any overlays that an organization uses and can be made available are also presented.
This course allows the student to leverage years of experience in DoD DCD 6/34 for transition to the Risk Management Framework (RMF) applied to the Intelligence Community as mandated by ICD 503. Utilizing NIST SP 800-37 to establish a baseline of RMF knowledge, the student learns how to integrate the NIST pubs to provide cohesive information assurance architectures and compliance. ICD 503 scorecard evaluations are integral in demonstrating a successful ICD 503 compliance program. TechNow's ICD 503 course provides students with the skill to assess security programs and evaluate ICD 503 compliance to build an improvement and sustainable program for score consistency. TechNow's instructors have unparralleled expertise in federal compliance initiatives, and we bring this expertise instructing students on the complete life cycle of RMF.
More than a simple checklist, we instruct students not only how to validate essential security controls, programs, and metrics, but that they are operating effectively. The student leaves the course knowing how to: identify gaps where controls, programs, or metrics are incomplete, missing or ineffective, and provide actionable findings and recommend remediation strategies. Students learn to internalize NIST pubs to meaningul and effective IA guidelines and work with the Body of Evidence templates which include: Risk Assessment Report (RAR), Systems Security Plan (SSP), Security Assessment Report (SAR), and Plans of Action and Milestone (POAM).
TechNow training materials are aligned with the most recent set of National Institute of Standards and Technology (NIST), Committee on National Security Systems (CNSS), and Office of the Director of National Intelligence (ODNI) policies standards, processes, policies and instructions to be addressed/explained include ICD 503, ICS 503-1, ICS 500-16, ICS 500-18, ICS 500-27, ICD 502, NIST SP 800-37, NIST SP 800-30, NIST SP 800-53, NIST SP 800-53A, NIST SP 800-137, NIST SP 800-47, CNSSP 22, CNSSI 1253, and CNSSI 4009.
A majority of time is spent on in-depth compliance review of NIST SP 800-53 controls. Instruction discusses which method should be used to test and validate each security control and what evidence should be gathered. This course is not theory or death by power point. Real scenarios are presented as exercises. A complete live cyber range simulating the IC is utilized for hands-on labs for techniques of validating and documenting compliance of NIST SP 800-53 controls as related to ICD 503.
Date/Locations:
No Events
Duration: 5 days
Course Objectives:
- Establish a baseline of RMF knowledge
- Validate essential security controls, programs, and metrics
- DoD DCD 6/3 to ICD 503 Transition
- Lab Environtment and the Cyber Range
- Overlays: Tactical, Medical, Network type(JWICS, SIPR; IC or AF), Cross Domain, PII
- Risk Assessment Report (RAR)
- Systems Security Plan (SSP)
- Security Assessment Report (SAR)
- Plans of Action and Milestone (POAM)
Prerequisites:
Experience in the field of auditing and assesments.
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TechNow is in no way associated with SANS or GIAC, but has courses that are similar in subject matter:
Certified AI Program Manager (CAIPM) is EC-Council’s professional certification for people responsible for owning AI decisions and driving execution: business, technology, data, and risk.
The Certified AI Program Manager (CAIPM) Course equips you with hands-on expertise across the full spectrum of AI tools, from conversational AI and image generation to code assistants and audio synthesis.
Participants will learn how to evaluate, deploy, and integrate AI tools into enterprise workflows, understanding not just how they work, but how to leverage them for maximum business impact. This course covers how to assess AI readiness across teams and processes, Prioritize AI use cases tied to business outcomes, Design adoption and rollout roadmaps , Coordinate delivery across cross-functional teams, implement governance, Responsible AI, and security controls , and how to track performance and ROI to prove value
By the end of the course, learners will be well-prepared to take the Certified AI Program Manager (CAIPM) exam and demonstrate the ability to own AI initiatives end to end , validate mastery of decision framing and trade-off analysis for AI initiatives and Apply governance, ethics, and risk management principles across the AI lifecycle.
Course Objectives:
•MLOps Principles: Model life cycle management for scalable, production-ready AI
•Use Case Evaluation: ROI-driven assessment and prioritization of AI initiatives
•AI Strategy Frameworks: Enterprise AI roadmapping, portfolio planning, and value prioritization
•AI Investment Justification: Quantifying AI value, ROI, and mission impact for funding decisions
•Change Management: Workforce enablement and stakeholder alignment
•KPI Development: AI metrics, success indicators, and executive dashboards
•AI Governance: Risk, ethics, compliance, and responsible AI principles
•Vendor Evaluation: AI platform and tool selection aligned with enterprise needs
Dates/Locations:
No Events
Prerequisites: Familiarity with generative AI concepts, prompt engineering fundamentals, and AI workflows will help you succeed.
TN-412: Artificial Intelligence Essentials (AI|E)
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.