JFrog Empowers a Secure AI Journey for Developers, Integrates with Databricks’ MLflow for a Seamless Machine Learning Lifecycle
25 Avril 2024 - 3:15PM
Business Wire
New JFrog Artifactory integration provides
developers and data scientists with an Open Source Software
solution to simplify and securely accelerate ML Model
development
JFrog Ltd. (“JFrog”) (Nasdaq: FROG), the Liquid Software company
and creators of the JFrog Software Supply Chain Platform, today
announced a new machine learning (ML) lifecycle integration between
JFrog Artifactory and MLflow, an open source software platform
originally developed by Databricks. Following native integrations
released earlier this year with Qwak and Amazon SageMaker, JFrog
extends their universal AI solutions, offering organizations a
single system of record with Artifactory as a model registry. The
new integration gives JFrog users a powerful way to build, manage
and deliver ML models and generative AI (GenAI)-powered apps
alongside all other software development components in a
streamlined, end-to-end, DevSecOps workflow. By making each model
immutable and traceable, companies can validate the security and
provenance of ML models, enabling responsible AI practices.
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the full release here:
https://www.businesswire.com/news/home/20240425641944/en/
JFrog Delivers Secure AI Journey With New
MLflow Integration (Graphic: Business Wire)
Industry research suggests 80% or more of ML models built to
create new AI-powered applications fail to deploy, largely due to
technical hurdles with integrating the model into existing
operations. JFrog’s integration with MLflow helps organizations
overcome this by seamlessly uniting the MLflow popular open source
model development solution with an organization’s mature DevOps
workflows – delivering end-to-end visibility, automation, control
and traceability of ML models from experimentation to
production.
“For organizations to successfully embrace and deliver AI and
GenAI–powered applications at scale, developers and data science
teams must manage models with trust, the same way they manage all
software packages,” said Yoav Landman, CTO, JFrog. “This is only
possible using a universal, scalable, single system of record for
all binaries that delivers versioning, lifecycle, and security
controls, which our new integration with MLflow provides.”
JFrog MLOps: A single source of truth for all models
Building on its successful integrations with all major ML tools
in the market, the combination of JFrog Artifactory and MLflow
enables ML engineers, Python, Java, and R developers with the
freedom to work with their preferred tool stack, using Artifactory
as their gold-standard model registry. JFrog’s universal, scalable
platform also natively proxies Hugging Face allowing developers to
always access available open source models while simultaneously
detecting malicious models and enforcing license compliance. The
solution also comes with the software security features and
scanners provided by the JFrog Platform to maintain risk-free ML
applications.
MLSecOps - Trusted and Curated models
The JFrog Security Research team recently discovered hundreds of
instances of malicious AI ML models on the public Hugging Face AI
repository posing a significant risk of data breaches or attacks.
This incident highlights the potential threats lurking within
AI-powered systems and underscores the need for constant security
vigilance and proactive cyber hygiene.
Uniting JFrog Artifactory with MLflow will empower users to more
easily build, train, and deploy models with greater security,
governance, versioning, traceability, and trust by leveraging
JFrog’s scanning environment to rigorously examine every new model
uploaded to Hugging Face.
For a deeper look at JFrog’s integration with MLflow to power ML
and GenAI-powered app development, read this blog post. Developers
interested in going hands-on with these new features can download
the free plug-in here.
Like this story? Post this on X (formerly Twitter):
.@jfrog adds integration with @MLflow to help users create powerful
#MLOps workflows and #GenAI-powered apps. Learn more:
https://jfrog.co/44hjUfu #SoftwareSupplyChain #MLSecOps #SDLC
#MachineLearning
About JFrog
JFrog Ltd. (Nasdaq: FROG) is on a mission to create a world of
software delivered without friction from developer to device.
Driven by a “Liquid Software” vision, the JFrog Software Supply
Chain Platform is a single system of record that powers
organizations to build, manage, and distribute software quickly and
securely, to aid in making it available, traceable, and
tamper-proof. The integrated security features also help identify,
protect, and remediate against threats and vulnerabilities. JFrog’s
hybrid, universal, multi-cloud platform is available as both
self-hosted and SaaS services across major cloud service providers.
Millions of users and 7K+ customers worldwide, including a majority
of the Fortune 100, depend on JFrog solutions to securely embrace
digital transformation. Once you leap forward, you won’t go back!
Learn more at jfrog.com and follow us on Twitter: @jfrog.
Cautionary Note About Forward-Looking Statements
This press release contains “forward-looking” statements, as
that term is defined under the U.S. federal securities laws,
including but not limited to statements regarding the JFrog
Artifactory and Amazon SageMaker integration enabling collaboration
on building and deploying ML Models, JFrog new versioning
capabilities and anticipated performance of its ML Model Management
solution and the anticipated benefits to customers.
These forward-looking statements are based on our current
assumptions, expectations and beliefs and are subject to
substantial risks, uncertainties, assumptions and changes in
circumstances that may cause JFrog’s actual results, performance or
achievements to differ materially from those expressed or implied
in any forward-looking statement. There are a significant number of
factors that could cause actual results, performance or
achievements, to differ materially from statements made in this
press release, including but not limited to risks detailed in our
filings with the Securities and Exchange Commission, including in
our annual report on Form 10-K for the year ended December 31,
2023, our quarterly reports on Form 10-Q, and other filings and
reports that we may file from time to time with the Securities and
Exchange Commission. Forward-looking statements represent our
beliefs and assumptions only as of the date of this press release.
We disclaim any obligation to update forward-looking statements
except as required by law.
View source
version on businesswire.com: https://www.businesswire.com/news/home/20240425641944/en/
Media Contact: Siobhan Lyons, Global Communications,
JFrog, siobhanL@jfrog.com
Investor Contact: Jeff Schreiner, VP of Investor
Relations, jeffS@jfrog.com
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