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Security of AI models (7 min)

Zsolt Géczi - Regional Sales Manager, Palo Alto Networks ·

AI introduces a new class of risks to infrastructures – from training data leaks to prompt injection to the supply chain of LLM components. Prisma AIRS provides runtime security for AI/LLM applications throughout their entire lifecycle, from prompt/indirect injection detection and model exfiltration, through policy control for the use of tools and connectors, to monitoring and enforcing data boundaries and model response auditability. The lecture addresses the question of how organizations can implement practical protections without hindering innovation.

Artificial intelligence is shifting from a toy to an everyday work tool, but as its use grows, so do security risks. The talk presented why AI is accelerating, what threats it brings, and which two key approaches we need for its safe deployment. This isn’t about slowing innovation, but about sensible rules and protection where it makes sense.

AI is gaining momentum thanks to data

Advances in large language models have brought the ability to process the vast amounts of data that have accumulated over years of digitization. According to the speaker, there are thousands of LLMs and generative applications today, and their number will grow significantly by the end of the decade. Alongside tools for everyday users, there is a growing number of models deployed internally within companies – from voice to biometric solutions. This trend promises higher productivity, but it also creates new demands for protecting data and operations.

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Zsolt Géczi

Palo Alto Networks
Zsolt has more than 15 years of experience with ICT in various heterogeneous technological and complex application environments. One of his advantages is that he has experience with being on the side of a customer as well as being on the side of a provider, distributor and vendor. His specialization in recent years is information security; he de…

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