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AI Security
The AI Security pathway brings together 6 knowledge assessments within AI & Agentic Systems. Compare subjects such as Safe AI Use; AI Security Analyst; LLM Application Security; AI Red Teaming, review their specific coverage and choose the discipline that best matches your knowledge.
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Safe AI Use
Confidentiality; verification of results; access; risk of automation
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AI Security Analyst
Threat model; data leaks; prompt injection; tool control
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LLM Application Security
Injection attacks; output handling; RAG poisoning; trust boundaries
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AI Red Teaming
Planning of permitted trials; adversarial cases; risk assessment; reporting
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Agent Security
Least privilege; tool access; delegation; secrets protection
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AI Governance Specialist
Policies; risk classification; responsibility; life cycle control
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A certificate records successful completion of the named assessment under its published criteria.
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The certificate identifies the discipline and the assessment version. It confirms successful testing, without conferring a professional license, academic degree or permission to practice.
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