JFrog Press Room

New integration significantly improves the quality and trustworthiness of open-source ML Models, resulting in safer, more responsible AI for everyone

JFrog ML Drives MLOps practices coupled with AI Security – Unifying Developer, Data Science & Operations Teams with Enterprise-wide Automation & Control of AI-powered Software Delivery

New integration accelerates secure GenAI and LLM model deployment – including Meta’s Llama 3 and Mistral AI LLMs packaged as NVIDIA NIM- with increased transparency, traceability and trust

• Total Fiscal 2024 Revenues of $428.5 million; up 22% Year-over-Year
• Cloud Revenues up 41% in 2024; driven by migrations and large customer wins
• Security core products equaled 3% of total revenue in 2024; approximately 12% of ending RPO
• Customers with ARR greater than $1 million equaled 52, up 41% Year-over-Year

The new strategic collaboration agreement (SCA) allows enterprise customers to cost-effectively scale their DevSecOps and AI-driven software solutions in the cloud

• Total Revenues of $109.1 million; up 23% Year-over-Year
• Cloud Revenues up 38% Year-over-Year; driven by cloud migrations and security
• Customers with ARR Greater than $1 million equaled 46, up 53% Year-over-Year
• Announced expansion of the JFrog Platform with MLOps and Runtime Security

Titled the “Hidden Costs of DevSecOps,” the IDC InfoBrief Reveals Companies Spend an Average of $28K Per Developer Annually on Identifying, Evaluating, and Addressing Software Security Concerns

Aiming to meet the increasing demand for enterprise-ready generative AI, the JFrog Platform integrates NVIDIA NIM to deliver GPU-optimized AI model services

Complete software lifecycle security enables organizations to simultaneously shift left & right, helping developers save time with quick threat detection and risk remediation