Cisco and Hugging Face Enhance AI Model Security
Cisco Systems, Inc. has partnered with Hugging Face to enhance security across the AI ecosystem by integrating advanced malware scanning capabilities. Announced in a company blog post, this collaboration involves the use of Cisco's Foundation AI team to provide a unified malware scanning platform for all public files uploaded to Hugging Face.
The partnership leverages Cisco's updated ClamAV engine, which now includes custom-fit detection capabilities to scan AI model files and other files for malware. This integration aims to improve model vetting, detect vulnerabilities early, and share threat intelligence, thereby building greater trust and stronger security within the AI community.
Hugging Face, which hosts nearly 1.9 million models, will benefit from Cisco's expertise in securing digital infrastructure. The collaboration also democratizes AI model antimalware by releasing ClamAV's enhanced functionality to the public for free, allowing it to detect malicious code in AI models and deserialization risks in common model file formats.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Cybersecurity AI Weekly or Daily AI Brief.
Also, consider following us on social media:
More from Cybersecurity
Nov 1 Swimlane Adds Custom Detections and Two Way MCP Support to Turbine Nov 1 VicOne Says AI Research Found 28 Zero Days in Robotics Tools Nov 1 Northflank Breach Leads to Unauthorized AI API Use Oct 31 Cisco Talos Finds Volta Infostealer Using AI Models to Profile Victims Oct 31 Orange Cyberdefense Gets Early Access to Cyber Version of Mistral Large 4Cybersecurity AI Weekly
Weekly newsletter about AI in Cybersecurity.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Hugging Face CEO Disputes Netflix AI Documentary
Pluto Security finds cryptominers in Hugging Face model repositories
CUJO AI and F-Secure Partner on Home and Mobile Security
Cisco Talos Finds NIK C2 Malware Using OpenAI API
Oracle Introduces AI Security Mesh Powered by OpenAI
Daily AI Brief: the AI news that matters, in your inbox.