Home Specialist skills Data and Analytics Advanced in AI Security Management (AAISM)
Advanced in AI Security Management (AAISM)
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Evaluate AI security risks using industry-recognised methodologies to protect enterprise assets.
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Implement robust governance models to ensure responsible and ethical AI deployment.
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Align AI security policies with organisational goals and global regulatory expectations.
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Enhance the resilience and accountability of AI-driven operations through continuous monitoring.
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Design secure AI pipelines that uphold confidentiality, integrity, and availability.
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Execute incident response workflows specifically tailored to AI-specific attack vectors.
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Formulate long-term AI security capabilities by integrating risk management into enterprise strategy.
Overview
Off the shelf (OTS)
Target audience
This instructor-led, live programme is aimed at advanced-level professionals, including security managers overseeing AI initiatives, governance and risk professionals, and technical leaders responsible for the secure adoption of AI.
Pre-requisites
Participants should have a foundational understanding of cybersecurity risk principles, familiarity with enterprise security governance, and prior experience with AI or data-driven systems. In order to take the AAISM exam you must hold an active, professional-level security management credential, such as CISM or CISSP
Course description
The AAISM course provides an advanced framework for assessing, governing, and managing security risks within artificial intelligence systems. It focuses on implementing effective security controls and governance practices tailored for enterprise AI environments, ensuring that AI-driven operations remain resilient, accountable, and aligned with organisational goals.
Objectives / topic areas
The course covers the following high-level topics:
AI security governance foundations and enterprise frameworks.
Risk assessment methodologies and threat modelling for AI-enabled systems.
Secure AI system design and model lifecycle management.
Data protection, privacy-enhancing technologies, and data governance for machine learning.
Monitoring AI operations to detect drift, anomalies, and misuse.
Regulatory compliance alignment with global standards and legal obligations.
Incident response workflows for compromised AI models.
Strategic AI security management and maturity assessments.
Delivery elements
The course is delivered over 21 hours through facilitated lectures, practical workshops, and assessment-based activities. It includes applied exercises using real-world AI governance scenarios. This course includes an exam voucher so that the AAISM exam can be taken at a convenient time.
Successful completion of this course requires access an external online assessment. The online assessment platform may not be accessible from Civil Service department IT due to security restrictions. If you have any questions or believe you may be impacted by these restrictions, please contact support@governmentcampus.co.uk.
Please note – data may be processed in countries with adequacy agreements in place.
Delivery method
Face to face
Virtual
Course duration
21 hours
Competency level
Working
Delivery method
-
Face to face
-
Virtual
Course duration
21 hours
Competency level
-
Working