Artificial intelligence is moving rapidly from experimentation to everyday enterprise use. As this adoption grows, so does the need for professionals who understand how to secure AI systems, assess their risks, and apply appropriate security and governance practices.

This is where specialized AI security certification programs can play an important role. Rather than focusing only on general AI concepts, professionals increasingly need to understand AI-specific vulnerabilities, LLM security, AI risk management, governance, compliance, and the security implications of emerging architectures.

The Certified Security Professional in Artificial Intelligence (CSPAI) by SISA Institute is designed around this need. It is an ANAB-accredited certification program focused on cybersecurity in AI, with a curriculum that brings together AI fundamentals, AI and GenAI security, LLM vulnerabilities, risk management, standards, governance, and emerging AI architectures.

What Is CSPAI?

CSPAI, or Certified Security Professional in Artificial Intelligence, is an AI security certification designed for security professionals working with or around AI technologies.

The program focuses on the integration of AI and GenAI into business applications and the security requirements that come with that integration. Rather than treating AI security as a standalone technical topic, CSPAI looks at how security considerations apply when AI becomes part of real-world business environments.

The curriculum addresses the security of AI applications, AI-related threats and vulnerabilities, risk identification and assessment, and the application of ISO and NIST-recommended frameworks. It also addresses the need for continuous assessment and alignment with evolving AI regulations and standards.

For professionals looking to understand what structured AI security training covers, CSPAI provides a focused pathway that connects AI fundamentals with security, risk, and governance.

Why Consider CSPAI for AI Security?

An AI cybersecurity course can introduce professionals to AI concepts and security challenges, but a certification needs to provide a broader learning path that connects these concepts to professional practice.

CSPAI is built around several areas that distinguish its approach.

1. ANAB-Accredited AI Security Certification

One of the key differentiators of CSPAI is its ANAB accreditation.

The certification is based on the ANSI/ISO/IEC 17024 framework. ANAB accreditation provides an internationally relevant certification framework and ensures that the CSPAI certification program is designed and maintained against defined criteria.

2. Covers AI Security Across the AI Lifecycle

CSPAI does not limit its focus to generative AI or individual AI attacks.

The curriculum begins with AI and machine learning fundamentals, including neural networks, generative models, machine learning paradigms, responsible AI, and AI governance. It then moves into LLMs, GenAI development, training and fine-tuning, application security, risk management, advanced AI model security, agentic AI, and distributed AI security.

3. Dedicated Focus on LLM Vulnerabilities

CSPAI covers common LLM vulnerabilities and misuse scenarios, including the OWASP Top 10 for LLMs, jailbreaks, prompt injection, and context exploits.

The program also addresses challenges associated with LLM training and fine-tuning, including security risks such as poisoning and extraction.

This technical depth aligns with the broader areas covered in SISA's AI security training domains, which highlight the different dimensions professionals need to consider when securing AI systems.

4. Goes Beyond LLM Security

CSPAI's curriculum extends into emerging AI architectures and deployment environments.

The program covers advanced AI model security, including multi-modal and advanced AI attack vectors, defensive strategies for advanced AI models, and security considerations for newer model architectures.

It also addresses agentic AI and protocol security, including agent architectures, agent-to-agent communication attacks, and securing multi-agent systems and orchestration.

The curriculum further includes edge AI and distributed security, covering mobile, IoT, and edge AI systems, federated learning, distributed AI attacks, and securing edge AI deployments.

CSPAI Curriculum: What Will You Learn?

The CSPAI curriculum is structured across ten areas:

• Introduction to AI/ML – AI fundamentals, machine learning, neural networks, generative models, responsible AI, and governance

• Generative AI and LLMs – transformer-based models, architectures, prompting, SLMs, LLMs, and transfer learning

• LLM Training and Fine-Tuning – training challenges, RLHF, alignment, poisoning, and extraction risks

• LLM Usage Within Applications – LLM applications, RAG systems, reasoning, prompting, and agentic workflows

• LLM Vulnerabilities & Exploits – OWASP Top 10 for LLMs, jailbreaks, prompt injection, and context exploits

• AI Risk Management & Standards – EU AI Act, ISO 42001, risk assessment, and compliance

• Advanced AI Model Security - Covers security for LCM, LAM, and LRM models, multi-modal attack vectors, and defensive strategies for advanced AI architectures.  

• Agentic AI & Protocol Security - Focuses on AI agent architectures, agent-to-agent communication attacks, and securing multi-agent systems and orchestration.  

• Edge AI & Distributed Security - Examines security challenges in mobile, IoT, and edge AI, federated learning attacks, and securing edge AI deployments.  

• Future of Generative AI – emerging agentic and autonomous AI systems and the future of AI security and regulation

This breadth is one of the central features of CSPAI: the program connects AI fundamentals, technical security, risk, governance, standards, and emerging AI technologies within one certification pathway.

Learning Format: Training Plus Assessment

CSPAI combines self-paced learning, live expert sessions, and a final assessment.

The program includes approximately five hours of pre-recorded learning, covering areas such as the evolution of AI and GenAI, LLM fundamentals, LLM training paradigms, GenAI security foundations, the AI threat landscape, and governance and compliance concepts.

This is complemented by live interactive sessions covering AI and GenAI foundations, LLM applications, AI agents, MCP, agentic AI security, LLM vulnerabilities, AI risk management, governance, ISO standards, security controls, compliance, and advanced AI architectures.

The program's workshop-oriented approach also connects with the practical learning model outlined in SISA's AI Security Workshop, where AI security concepts are explored through structured learning and practical engagement.

The certification concludes with a Prometric online final assessment designed to evaluate both conceptual understanding and applied knowledge gained through the program.

Who Is CSPAI For?

CSPAI is designed for security professionals working with AI or preparing to take on AI security responsibilities.

It can be relevant to professionals across cybersecurity, security architecture, risk management, governance, compliance, and related technology functions who need to understand the security implications of AI adoption.

The program is particularly relevant for professionals who want to develop an understanding that spans both technical AI security and organizational AI risk and governance.

What Makes CSPAI Different?

When evaluating an AI security certification, the important question is not simply whether it covers AI. It is whether the curriculum provides sufficient depth across the areas relevant to securing AI in practice.

CSPAI combines technical areas such as LLM vulnerabilities, AI model security, agentic AI, and edge AI with governance and risk topics including ISO 42001, the EU AI Act, AI risk assessment, and compliance.

It also includes a three-year recertification cycle, with the curriculum regularly updated to reflect developments in AI and emerging threats.

For professionals looking for AI security training that leads into a formal certification, this combination of breadth, structured learning, expert-led sessions, and assessment provides a defined learning pathway.

Conclusion

For professionals seeking a certification focused specifically on securing AI and GenAI environments, CSPAI offers a comprehensive curriculum spanning AI fundamentals, LLM security, AI vulnerabilities, risk management, governance, standards, agentic AI, edge AI, and emerging AI architectures.

Its ANAB accreditation, structured curriculum, expert-led learning, and Prometric assessment further establish CSPAI as a dedicated certification pathway for professionals building expertise in AI security.

As organizations continue integrating AI into business applications, professionals who can understand both the opportunities and security requirements of AI will play an increasingly important role in helping organizations adopt AI securely and responsibly.

Frequently Asked Questions

What is CSPAI?

CSPAI stands for Certified Security Professional in Artificial Intelligence. It is an ANAB-accredited certification program from SISA Institute focused on cybersecurity in AI, including AI and GenAI security, LLM vulnerabilities, AI risk management, governance, standards, and emerging AI architectures.

Is CSPAI an AI security certification?

Yes. CSPAI is specifically designed as a certification program focused on cybersecurity in AI. Its curriculum covers AI security, LLM vulnerabilities, risk management, governance, compliance, and security across emerging AI architectures.

What does CSPAI cover?

CSPAI covers AI/ML fundamentals, generative AI, LLMs, LLM training and fine-tuning, LLM vulnerabilities, AI risk management, ISO and regulatory standards, advanced AI model security, agentic AI and protocol security, edge AI, distributed AI security, and the future of GenAI.

Is CSPAI ANAB accredited?

Yes. The CSPAI certification program is ANAB accredited and follows the ANSI/ISO/IEC 17024 certification framework.

Who should take CSPAI?

CSPAI is designed for security professionals seeking specialized knowledge in AI security. It can be relevant to professionals working across cybersecurity, AI security, risk, governance, compliance, and related technology functions.

How is the CSPAI program delivered?

The program combines self-paced learning, live interactive sessions with experts, and a final online assessment conducted through Prometric.