Secure AI Engineering
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Build and secure AI for regulated missions
Secure AI Engineering is the discipline of building and defending AI systems — and for defense contractors it means doing so under CUI, CMMC and NIST 800-171 constraints. This cohort-based track takes engineers from confident AI use to securing and operating AI in production.
The track at a glance
| Stage | Focus | You leave able to |
|---|---|---|
| 1 · Foundational | Applied AI & Agentic Systems for Engineers | Drive AI tools (agentic assistants, LLMs, RAG) safely in real engineering work with structured prompting and guardrails. |
| 2 · Specialization | AI/LLM Security & Secure AI Infrastructure | Threat-model and secure LLM apps, RAG pipelines, agents and MCP — including in CUI and regulated environments. |
| 3 · Certification | Production AI (MLOps/LLMOps) & AI-Security credential | Deploy, monitor and govern AI in production, and sit an AI-security credential (e.g. ISACA AAISM). |
Stage 1 — Applied AI & Agentic Systems for Engineers
A hands-on foundation in using generative and agentic AI the way senior engineers do: structured prompting, agentic workflows, retrieval-augmented generation (RAG) basics, and the guardrails that keep AI use safe, auditable and repeatable in regulated settings.
Stage 2 — AI/LLM Security & Secure AI Infrastructure
Securing LLM applications, RAG pipelines, agents and the Model Context Protocol (MCP): AI threat modeling, the OWASP LLM Top 10, prompt-injection and data-exfiltration defenses, tool/data access control, guardrails, and evaluations — with attention to CUI boundaries.
Stage 3 — Production AI (MLOps/LLMOps) & AI-Security Credential
Operate AI at scale and safely: deployment, monitoring, evaluation in production, drift and cost, and AI governance. Culminates in prep toward ISACA AAISM, a natural next step for your CISM-credentialed staff.
Roles you'll be ready for
AI/LLM Security Engineer, Secure AI Infrastructure Engineer, and MLOps/LLMOps Engineer.
Why now
AI security is the number-one reported cybersecurity skills gap, agentic-AI postings grew ~280% year over year, and AI skills carry a 15–40% wage premium — while almost no one delivers this as a tailored, live, compliance-aware cohort.
Frequently asked questions
Who is this track for?
Software, cloud, platform and security engineers on defense-contractor and regulated teams who build and secure AI — and GRC staff moving into hands-on AI security.
How is it delivered?
Live-virtual, instructor-led cohorts with foundational prep you can start immediately. New cohorts monthly; next 24 August 2026.
Do I take all three stages?
Take stages individually or as a discounted full-track bundle; most engineers start at Stage 1 and progress to the AI-security credential.
Start the track
Cohort-based and live-virtual. Begin foundational prep now and join the next monthly cohort.
Next cohort: monthly (next 24 Aug 2026)
Live virtual, instructor-led
Per stage / full track: [PRICE — TBD]
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