sicurity.aiWhat is an AI/ML Security Engineer?
The AI/ML Security Engineer connects application, cloud, identity, data and response security for AI-enabled systems: inventory and threat modeling, control design, testing, detection and response. This is sicurity.ai’s case for the role, not a claim that every organization has the same systems or staffing needs.
What the role owns
- 01
Know what is running
Inventory AI systems, map data paths, and find the trust boundaries.
- 02
Constrain what can act
Set identity, permissions, tool access, and limits for agents and integrations.
- 03
Test before release
Exercise applications, retrieval, models, and pipelines against realistic failure modes.
- 04
Make behavior visible
Preserve traces and evidence so teams can investigate what a system did and why.
- 05
Respond and recover
Contain unsafe behavior, protect data, restore service, and improve the controls.
How it differs from adjacent roles
Threat-model the system, set boundaries for data and tools, test the controls, and make the result investigable. The job spans teams because the system does.
| Role | Owns | Does not usually own |
|---|---|---|
| AppSec engineer | ||
| ML engineer | ||
| AI red teamer |
Skills by track
- AI Platform Security Engineer
- A data-flow map of an LLM application with every untrusted entry point marked
- A retrieval authorization pattern
- An alignment regression gate
- Agentic AI Defender
- An agent register that states authority as actions, not roles
- An agent evidence standard your company can adopt
- Goal integrity and isolation controls
- Offensive AI Operator
- A written scope and data-handling plan for simulated work
- A model-selection and contribution assessment
- A privacy-conscious profile of a synthetic environment
- AI Security Automation Engineer
- An automation charter with blast-radius limits, approval tiers, and rollback
- An evaluation harness for any agent before it touches production
- Hardened baselines and infrastructure templates
Prerequisites and career path
This is a new application of familiar security work, not a reset of your career. Bring your foundation in application security, cloud, identity, detection, incident response, or governance. Build the AI-specific skills that connect it.
The goal is not to re-teach what you know. It is to help you take responsibility for systems that cross traditional team boundaries.
A training path cannot replace experience, organizational authority, or a security team. It can give practitioners a structured way to build and demonstrate relevant skills.
How to train for it
Each track builds one part of that connected practice. View membership details. The free tier includes one complete module per track and community access as modules release. Planned modules are not accessible yet. Tracks A and D propose alignment to GAIPS and GASAE exam objectives; Track C covers selected GOAA fundamentals; Track B leads to a sicurity.ai credential. None is complete exam preparation and none is a GIAC certification. Module access is listed on each track page.
Questions
Is AI/ML Security Engineer a real job title?
The AI/ML Security Engineer connects application, cloud, identity, data and response security for AI-enabled systems: inventory and threat modeling, control design, testing, detection and response. This is sicurity.ai’s case for the role, not a claim that every organization has the same systems or staffing needs.
Do I need a machine learning background?
This is a new application of familiar security work, not a reset of your career. Bring your foundation in application security, cloud, identity, detection, incident response, or governance. Build the AI-specific skills that connect it.
Which certification maps to this role?
Tracks A and D propose alignment to GAIPS and GASAE exam objectives; Track C covers selected GOAA fundamentals; Track B leads to a sicurity.ai credential. None is complete exam preparation and none is a GIAC certification. Module access is listed on each track page.
How long does it take to train?
13 modules · 2 to 4 hours each · planning estimate. Allow 2 to 4 hours per module. Additional practice time varies. These are planning estimates, not measured completion times.
Where do I start?
The free tier includes one complete module per track and community access as modules release. Planned modules are not accessible yet. Module access is listed on each track page.
Written by Rob T. Lee. Last reviewed .