Advanced in AI Security Management (AAISM)
A practical overview of the AAISM credential — what it covers and what holders are trained to do.
A credential focused on securing enterprise AI systems
AAISM is ISACA's Advanced in AI Security Management certification, launched in 2025. It focuses on how experienced security professionals assess, monitor, and manage risks introduced by AI systems.
It addresses how practitioners identify, assess, monitor, and mitigate risks from enterprise AI systems, including model risk, data risk, and control effectiveness.
AAISM builds on existing security credentials — CISM or CISSP — and assumes a working knowledge of enterprise risk management and security controls.
What this means in practice
- Explain how AI systems introduce new risks in a bank environment.
- Evaluate whether governance and oversight structures are adequate.
- Identify gaps in controls around data, models, and monitoring.
- Translate AI risk into standard risk management language.
Three domains of competency
AI Governance & Program Management
How organizations assign responsibility for AI, structure oversight through committees and roles, and translate regulatory expectations into internal policies and procedures.
AI Risk Management
How to identify and assess AI-related risks — model behavior, data usage, third-party dependencies — and document those risks in a way that fits existing risk frameworks.
AI Technologies & Controls
The technical foundations examiners expect practitioners to understand — how AI systems are built, where controls apply, and how monitoring is performed in production.
A consistent way to govern and control how AI is used
As Texas community banks adopt AI, they need a consistent way to evaluate governance, risk management, and controls. AAISM gives a community bank a shared reference point — what questions to ask, how risk is documented, and what adequate controls look like in practice.
AI Applied to Banking FundamentalsWhere the credential meets community banking
The value of AAISM here is not the credential itself — it is how the underlying framework can be used in real banking contexts.
- TRAIGA alignment. Uses the same risk and control concepts expected under the Texas Responsible AI Governance Act (HB 149), helping institutions align to regulatory expectations.
- Examination readiness. The three AAISM domains map cleanly to how banking exams are conducted.
- Practical for community banks. Can be applied without large teams or complex models, and aligns with existing risk management expectations.
- Staff and Board Training. Provides a structured way to bring bank staff and board up to speed on AI governance, risk, and controls.