TechAble Secure's training programs are built on applied knowledge drawn from 21 years of professional practice — not academic theory. All programs are structured, evidence-based, and aligned to the NIST NICE Workforce Framework for Cybersecurity.
| Program | Hours | Primary Audience | Format | Credential |
|---|---|---|---|---|
| Track 1: AI Security Foundations | 16 hrs | All technology professionals | Virtual or in-person | Foundations Certificate |
| Track 2: LLM Security & Prompt Defense | 24 hrs | Security engineers, developers | Virtual + hands-on lab | Practitioner Certificate |
| Track 3: AI Governance & Compliance | 16 hrs | Compliance, risk, legal, governance | Virtual | Associate Certificate |
| Track 4: Secure AI Architecture | 24 hrs | Security architects, cloud engineers | Virtual + workshop | Architecture Certificate |
| Track 5: Zero Trust Strategy & Deployment | 20 hrs | Security architects, CISOs | Virtual + workshop | ZT Practitioner Certificate |
| Track 6: Enterprise Security Architecture | 24 hrs | Enterprise architects, CISOs | Virtual + workshop | ESA Certificate |
| Track 7: Network Security Architecture | 20 hrs | Network engineers, infra architects | Virtual + lab | Network Security Certificate |
| Executive AI Security Briefing | 4 hrs | CEOs, board, C-suite | In-person or virtual | Non-credentialed |
| Custom & Enterprise Programs | Variable | Any workforce audience | Flexible | Custom credential options |
Duration
16 Hours
2-day intensive or 4×4hr virtual
Right for you if: Your organization is deploying AI tools and your team needs to understand what that means for security — even if they are not security specialists. Prerequisite for Tracks 2 and 4.
The entry-level track for any technology professional whose organization is deploying AI tools. No prior security background required. Participants leave able to identify AI security risks in their own organization and understand the landscape they are operating in.
Key Topics
Duration
24 Hours
3-day intensive or 6×4hr virtual
Right for you if: You build, deploy, or test AI-powered applications and need to find and fix AI vulnerabilities before attackers do.
A technical, hands-on track for practitioners who build, deploy, or test AI-powered applications. Participants work directly with instrumented AI systems to understand how attacks work and how to build effective defenses. Goal: practical capability, not theoretical awareness.
Key Topics
Duration
16 Hours
2-day intensive or 4×4hr virtual
Right for you if: You are responsible for ensuring your organization's AI deployments are compliant, accountable, and defensible to regulators and auditors.
Designed for compliance officers, risk managers, legal professionals, and governance leads. The focus is operational implementation: what the frameworks require, what evidence satisfies regulators, and how to build a program that works. Participants leave with a working governance program template.
Key Topics
Duration
24 Hours
3-day intensive or 6×4hr virtual
Right for you if: You design or build the infrastructure that AI systems run on and need security engineered in from the start — not reviewed and bolted on afterward.
The most technically deep track for AI infrastructure. Covers the full security design challenge — how to build AI deployments where security is engineered in, not bolted on afterward. Includes a capstone architecture design exercise using a realistic enterprise AI deployment scenario.
Key Topics
Duration
20 Hours
2.5-day intensive or 5×4hr virtual
Right for you if: Your organization has been directed to implement Zero Trust and you need to move from that directive to an actual architecture — one that covers AI deployments as well as conventional infrastructure.
Zero Trust is not a product — it is an architectural philosophy. This track gives participants the knowledge to design and implement a Zero Trust architecture, including the AI-specific ZT controls that standard frameworks were not originally designed to address. Closes with a maturity assessment workshop producing a gap analysis and phased implementation roadmap.
Key Topics
Duration
24 Hours
3-day intensive or 6×4hr virtual
Right for you if: You are responsible for designing or reviewing enterprise security architecture and need a methodology that extends to AI systems — not just conventional infrastructure.
Most organizations have security tools; fewer have a coherent security architecture. This track builds the discipline of enterprise security architecture — security domains, trust boundaries, control frameworks, and reference architectures — with emphasis on treating AI systems as first-class components, not afterthoughts. Closes with a security domain modeling workshop producing a reusable design artifact.
Key Topics
Duration
20 Hours
2.5-day intensive or 5×4hr virtual
Right for you if: You design, build, or review network infrastructure for environments that include AI workloads and need your network to meet the security demands those workloads introduce.
Network security is the layer everything else depends on — and AI workloads introduce requirements conventional network security training does not cover. This track builds practical design knowledge for enterprise network security in environments running AI alongside conventional infrastructure, including GPU cluster fabric, inference network optimization, and AI workload micro-segmentation.
Key Topics
Every organization's AI deployment is different. TechAble Secure designs and delivers custom training programs tailored to your specific AI systems, threat environment, compliance requirements, and workforce profile — combining elements from multiple standard tracks, incorporating your actual AI deployments as case study material.
Example Engagements
Financial services: AI Governance + AI Security Assessment methodology — customized to SR 11-7 and OCC AI guidance
Healthcare: AI Security Foundations + Secure AI Architecture — customized to FDA SaMD and HIPAA requirements
Technology company: LLM Security + custom AI red team simulation using the client's own AI applications
Government contractor: Zero Trust + Enterprise Security Architecture — customized to NIST AI RMF and CMMC alignment