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Jeevan Kumbhar
Jeevan Kumbhar

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Certified AI Security Professional Certification: Building Modern AI Security Skills

Artificial intelligence is moving into security-sensitive environments, from enterprise applications to LLMs, RAG systems, and AI agents. That expansion creates a practical need for professionals who understand how AI systems can be protected across their lifecycle.
GSDC’s Certified AI Security Professional program addresses this need with a structured focus on AI security, risk management, threat detection, data protection, and secure implementation.
Introduction
The GSDC program combines foundational security concepts with modern AI security topics. Its syllabus covers threat modeling, security frameworks, AI data and pipeline security, adversarial machine learning, secure AI development, Generative AI and LLM security, RAG and AI agent security, cloud security, testing, red teaming, supply-chain security, privacy, access control, and incident response.
Key Objectives
Participants build knowledge to:
Understand AI attack surfaces, threats, and security principles.
Apply NIST, OWASP, MITRE ATLAS, and ISO standards.
Protect models, data, pipelines, APIs, LLMs, RAG systems, and AI agents.
Identify vulnerabilities and apply testing, red teaming, and response practices.
Practical Learning for Security Professionals
The program is useful for AI security professionals, cybersecurity professionals, information security managers, AI and machine learning engineers, IT security architects, risk professionals, data privacy specialists, SOC professionals, technology managers, and compliance or governance professionals. No mandatory prerequisites are required, and advanced AI or technical experience is not required.
What Makes the GSDC Program Different
Rather than relying only on self-study, GSDC combines self-paced learning with GSDC Studio, 100+ live monthly sessions, hands-on Learn by Doing activities, three personalized SME Connect sessions, premium resources, a capstone project, and job support. The certification validates knowledge across the wider AI security lifecycle, including newer areas such as LLM, RAG, and AI agent security. It connects emerging risks with practical security controls.
AI Security Career Development
For professionals exploring an AI security professional certification, the program offers a way to organize learning around current AI security responsibilities while strengthening their professional profile.
Build Your AI Security Expertise
Explore the Certified AI Security Professional certification and its structured learning pathway.
Explore AI Security Certification : https://www.gsdcouncil.org/ai-security-certification

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