Mmastodon TechnologyCybersecurity first seen 1 d ago, last 1 d ago, peak #7

AI boom leaves secure engineering practices behind

Original: "The speed of AI development has raced ahead of secure engineering practices. As companies plug frameworks like PyTorch,

Commentators warn that AI development is outpacing secure engineering. As companies integrate frameworks such as PyTorch, Hugging Face and Langflow into production pipelines, familiar vulnerabilities — weak input validation, path traversal and deserialization errors — are resurfacing in new AI systems. The discussion, circulating in cybersecurity circles, argues that rapid deployment is repeating known security mistakes.

Why now: Cybersecurity professionals are warning that the rush to ship AI systems is reintroducing well-known vulnerabilities.

PyTorchHugging FaceLangflow

Open on mastodon →

Evidence

• "The speed of AI development has raced ahead of secure engineering practices. As companies plug frameworks like PyTorch, Hugging Face and Langflow into their pipelines, old vulnerabilities like weak input validation, path traversal and deserialization errors are making a… · silentexception · 2

API: https://socialmediatrends-api.osmike.com/v1/trends/2119297