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GPAI (General-purpose AI)

GPAI enables the same AI model to be used across a wide range of tasks, systems, and services. This creates new opportunities for organizations, while making control over data, access, integrations, and security risks increasingly important. 

What is GPAI (General-Purpose AI)?

GPAI (General-Purpose AI), or AI models for general purposes, refers to AI models that can perform a wide range of tasks and be used across many different applications. Unlike AI developed for one specific task, a GPAI model can serve as the foundation for multiple types of AI systems and services.

GPAI models can be used to generate and analyze text, images, audio, and other types of content, answer questions, write code, and perform different forms of analysis. Large language models (LLMs) are a common example of models that can be classified as GPAI.

A useful analogy is an engine that can be used in many different machines. The same underlying technology can be adapted and integrated into different solutions depending on its intended purpose. Similarly, a single GPAI model can serve as the foundation for many different applications and services.

Sicra and GPAI

GPAI provides organizations with new opportunities for automation, analytics, and the development of digital services, but it also introduces new cybersecurity challenges. When AI systems and applications based on GPAI models gain access to organizational data, systems, and other digital resources, effective control over identities, access, and integrations becomes increasingly important.

Organizations should therefore understand which GPAI models are being used, what data they can process, how they are integrated with other systems, and what security risks their use introduces.

Sicra helps organizations with security strategy, maturity assessments, and identity security to support the secure and responsible use of GPAI.

Services

Security strategy

Security maturity assessment

Identity maturity assessment

CISO-for-hire


Related terms:
Artificial intelligence (AI), LLM (Large Language Model), Agentic AI, NHI (non-human identities), Governance, Identity security, IAM (Identity and Access Management), Cybersecurity

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