ANT-AI-NIST

Agentic Governance & Risk Engineering: From Theory to NIST and ISO Practice

Duration of training: 3 days

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description
course

This course provides an analysis of applying the NIST AI RMF (AI Risk Management Framework) and ISO/IEC 42001 (AI Management Systems) frameworks through the lens of security and compliance.

course audience

AI function leaders and owners, CISOs/deputy CISOs, SOC/IR managers, AppSec, CloudSec, Data Security, and GRC/Compliance specialists.

prerequisites

A basic understanding of cybersecurity and risk management is required; familiarity with LLM and GenAI concepts is desirable.

how it works
education

online course

The online course involves group classes with an instructor via video conferencing, in addition, homework and an exam.

for corporate clients

training for corporate clients includes online and self-study courses, as well as additional services required by corporate clients: organizing training plans for client departments, assessing the effectiveness of training, etc.

program
course

• Threat model and GenAI risks from the perspective of NIST and ISO.
• Threat scenarios and examples of attacks on GenAI.
• Logic and structure of the NIST AI RMF and ISO 42001 standards.
• AI Risk Management Frameworks.
• Conditions giving rise to vulnerabilities in LLM-RAG systems.
• Identifying entry points and trust boundaries in GenAI.
• Data sandboxing.
• Protection against prompt injection.
• The economics of an incident.
• Calculating the ALE metric.
• Logic for selecting risk treatment strategies and available options.

Сourse purchase
options

individual

Cost — $1,510.43

Group online classes

Unlimited access to all the materials

Live webinars with teachers

Homework

Exam with certificate

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corporate

Cost from $1,510.43

To obtain information about the final cost and clarify the date of the course, please fill out the form.

SUBMIT YOUR APPLICATION

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