Certified AI Security Architect

Cyera's most advanced, most requested AI Security School certification — a vendor-neutral program that gives security, governance, platform, and business leaders a practical, step-by-step framework to move their organization from its current AI security maturity to its target maturity, using people, process, and technology across the full Security for AI Journey.

Get certified

100% vendor-neutral training

Learn practical AI security concepts — mapped to NIST AI RMF, ISO/IEC 42001, the EU AI Act, and OWASP's Top 10 for LLMs — that apply across tools, vendors, and AI architectures.

11 in-depth modules

Build a practical foundation across the five-stage Security for AI Journey: Discover & Classify, Govern, Protect & Control, Detect & Recover, and Assure.

10–12 weeks to complete

Recommended pace: 3–4 hours per week.

Two Ways to Enroll

For the first time, this certification is available in two formats — choose the path that matches where you're starting from.

Full Certification

Modules 0–10 (11 modules)

Best for: learners new to Cyera's AI Security School, or who haven't completed Certified Security for AI Fundamentals / Certified AI Security Practitioner.

Covers foundations (AI taxonomy, adoption paths, the Security for AI Journey, maturity modeling) plus all five journey stages and the capstone action-planning module.

Outcome: a complete, from-scratch path from understanding AI risk to architecting and prioritizing a defensible AI security program.

Enroll in the bridging course

Bridging Course

5 stage-specific modules

Best for: learners who have already completed Certified Security for AI Fundamentals / Certified AI Security Practitioner and don't need to repeat the foundational modules.

Covers the five stage-specific modules — Discover & Classify, Govern, Protect & Control, Detect & Recover, and Assure — that build directly on practitioner-level knowledge to show exactly what to do at each stage of the journey.

Outcome: the same Certified AI Security Architect credential, reached faster by building on what you already know.

Enroll in the bridging course

Enroll to become a certified Data Security Architect

This certification builds on the foundations from Certified Security for AI Fundamentals / Certified AI Security Practitioner and takes them further — giving you a structured, five-stage journey and a maturity model to move from wherever your organization stands today to where it needs to be. You'll learn to discover and classify every AI tool and dataset in use, govern and control it, detect and recover from incidents, and prove — not just claim — that your AI systems are safe, compliant, and audit-ready.

Get certified

What you’ll learn

Grasp how AI systems actually work — foundation models, LLM engines, RAG indexes, agents, and the Model Context Protocol — and why that changes the security model.

Distinguish Public AI, Embedded AI, and Homegrown AI adoption paths, and map each to its unique risk profile and required controls.

Apply the five-stage Security for AI Journey — Discover & Classify, Govern, Protect & Control, Detect & Recover, and Assure — to structure security across people, process, and technology.

Use the Cyera Security for AI Maturity Model to score your organization from Initial to Optimized at every stage of the journey.

Confidently align your AI security program to NIST AI RMF, ISO/IEC 42001, the EU AI Act, and the OWASP Top 10 for LLMs.

Enforce runtime guardrails — AI firewalls, DLP, IAM, and AI Security Posture Management (AISPM) — to contain prompt injection, data leakage, and tool misuse.

Build monitoring, audit trail, and rollback capabilities so drift, hallucinations, and misuse are caught and contained before they cause damage.

Turn a maturity assessment into a prioritized, phased action plan — near-, mid-, and long-term — using real-world worked examples.

Skills

AI Discovery & Inventory

AI Risk Classification

AI Governance & Ownership Mapping

AI Policy & Approval Workflow Design

Runtime Guardrail Enforcement

AI Threat Detection & Incident Response

AI Red Teaming

Data Provenance & Lineage Tracking

AI Security Maturity Assessment

AI Security Roadmap Planning

Cross-Functional AI Risk Communication

Frameworks, models & standards

NIST AI Risk Management Framework (AI RMF)

ISO/IEC 42001

EU AI Act

OWASP Top 10 for LLMs

Cyera Security for AI Journey (5 stages)

Cyera Security for AI Maturity Model

Responsible AI Security Framework

Concepts & Frameworks

Data Security Posture Management (DSPM)

AI Security Posture Management (AISPM)

Identity & Access Management (IAM)

AI Firewalls, DLP & Gateways

Model Context Protocol (MCP)

Retrieval-Augmented Generation (RAG)

Shadow AI

Public AI / Embedded AI / Homegrown AI adoption paths

Outcomes and takeaways

Lead AI risk conversations with a shared vocabulary that works across security, data, legal, risk, and product teams.

Evaluate your organization's entire AI footprint — every tool, pipeline, model, and agent — not just a single chatbot or model.

Apply a consistent, five-stage structure to secure AI across its full lifecycle, from discovery through assurance.

Score your current AI security maturity and set realistic, risk-based targets across people, process, and technology.

Map your controls defensibly to NIST AI RMF, ISO/IEC 42001, the EU AI Act, and OWASP's Top 10 for LLMs.

Recognize why AI security is a lifecycle discipline, not a single tool or control.

Build a prioritized, phased roadmap that closes maturity gaps in the right order — foundation first, then automation, then continuous optimization.

Earn the Certified AI Security Architect credential — a shareable badge and certificate that recognizes advanced, practical AI security leadership.

5000+ community of AI defenders

“Essa certificação fez com que os princípios de segurança de dados se tornassem imediatamente aplicáveis às nossas iniciativas de IA.”

Amit Rustagi