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Showing posts with the label #AAISM Certification #ISACA Certification

AAISM Certification: Exam Cost, Training, Eligibility & Preparation Guide

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  AAISM Certification , formally called Advanced in AI Security Management™ , is an ISACA credential designed for experienced information security professionals who need to manage security risks created by artificial intelligence. Candidates must hold an active CISM or CISSP certification . The AAISM exam contains 90 questions across AI governance, AI risk management, and AI technologies and controls. Current exam fees are US$459 for ISACA members and US$599 for non-members , plus a US$50 certification application fee after passing. What Is AAISM Certification? The ISACA AAISM Certification validates advanced knowledge at the intersection of artificial intelligence, cybersecurity, governance, risk management, security architecture, data protection, and security controls . AAISM stands for Advanced in AI Security Management™ . ISACA introduced the certification in 2025 for experienced cybersecurity professionals who already have a strong security-management foundation and now ne...

AAISM Certifications: Cost, Eligibility, Exam Domains and Career Value

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  AAISM Certifications refer to ISACA’s Advanced in AI Security Management credential for experienced security leaders who already hold an active CISM or CISSP. The certification validates practical ability in AI governance, AI risk management, security architecture, data controls, privacy, ethics, incident response, and supply-chain oversight. Candidates take a 90-question, 150-minute exam and need a scaled score of 450 or higher. The exam costs US$459 for ISACA members and US$599 for non-members, excluding the US$50 application fee after passing the examination. What AAISM Certifications Actually Validate The ISACA AAISM certification is not an introductory AI course or a machine-learning engineering credential. It is an advanced security-management certification for professionals responsible for deciding how enterprise AI should be governed, secured, monitored, and kept within acceptable risk limits. An AI engineer may focus on training, tuning, or deploying a model. An AAISM ...