Software: Cyber Thoughts on Hugging Face Security Incident

Research evidence excerpt

Software: Cyber Thoughts on Hugging Face Security Incident

Update

July 23, 2026 04:01 AM GMT

Morgan Stanley & Co. LLCMSoftware | North America Meta A Marshall

Equity Analyst

Cyber Thoughts on Hugging Meta.Marshall@morganstanley.comJonathan Eisenson +1 212 761-0430

Research Associate

Jonathan.Eisenson@morganstanley.com +1 212 761-2808

Face Security Incident Lucas Cerisola

Lucas.Cerisola@morganstanley.com +1 212 761-9194

Detection and mitigation of Hugging Face's security breach this

Software

week took place largely by utilizing other LLMs / internal tools. North America

The sophistication of the attack, and seeming lack of traditional Industry View Attractive

cyber tools being used, has caused investors to question impact

to traditional cyber vendors.

Key Takeaways

Hugging Face reported a highly sophisticated attack last week, carried out by an

autonomous agent of an advanced LLM.

Their anomaly-detection pipeline utilized LLM-based triage over security

telemetry vs noting usage of a SIEM/XDR, which would normally be used by

enterprises.

SIEM/XDRs designed to detect the very type of attacks we saw, however, need to

be well tuned and modernized to detect advanced behaviors in a timely fashion.

Leaves us positive on vendors with most modern solutions, namely CRWD /

PANW / ESTC .

Does the SIEM adapt to next-generation attacks? As we highlighted in our deep

dive into the SIEM market last month, the security information and event

management (SIEM) and extended detection and response (XDR) market today is

the traditional line of defense in helping security operations centers (SOCs) detect

and remediate attacks. In a breach such as the one that Hugging Face (private)

reported last week, a SIEM, receiving logs from identity, cloud, endpoints,