As software delivery speeds up and AI adoption grows, the old ways of managing your pipelines aren’t enough. Security blind spots, model sprawl, and disjointed tooling slow teams down and increase risk.
That’s why high-performing organizations are evolving how they use the JFrog Platform, modernizing pipelines, automating governance, and streamlining AI operations at scale. Here are five strategies that are helping them get there.
1. Manage ML models like first-class citizens
As ML and AI models move from experimentation to production, managing them like any other software artifact becomes critical. That means giving models the same attention to traceability, security, and versioning that your application code receives.
Teams are turning to JFrog ML to unify model build, training, scanning, deployment, and monitoring in one system. Instead of relying on disconnected tools and workflows, everything lives within Artifactory and Xray, with deep integrations to platforms like Hugging Face, AWS SageMaker, and NVIDIA NIM.
With this approach, model deployment becomes repeatable, auditable, and fast. Governance improves, security risks are caught earlier, and scaling MLOps becomes far more manageable.
2. Build trust and traceability into your AI pipeline
Recent research from JFrog uncovered inconsistencies in how vulnerabilities are scored in open-source models and even backdoors in some cases. For organizations adopting AI, that’s a major red flag.
By leveraging the JFrog Trusted AI framework, teams are gaining full visibility into the origin and integrity of their models and datasets. Decompilation analysis helps identify hidden threats that traditional scanners might miss, while focused reporting keeps attention on the highest-priority risks.
This isn’t about slowing down innovation. It’s about building in confidence from the start, so developers can move faster without second-guessing the safety of what they’re shipping.
3. Optimize storage without sacrificing visibility
As artifact volumes grow, so do infrastructure costs. But cutting corners on retention or access can disrupt delivery teams and degrade performance.
Smart Archiving in Artifactory Cloud makes it possible to retain what matters, archive what doesn’t, and still make everything discoverable. Rules can be based on age, usage, or custom properties, and archived artifacts can be restored instantly when needed.
It’s a smarter way to manage growth, especially for teams balancing budget constraints with high availability requirements.
4. Simplify release workflows and artifact lifecycle management
Release management tends to get messy as organizations scale, especially when environments, bundles, and metadata aren’t consistently defined.
With project-tagged environments and semantic versioning filters, teams can automate how bundles are promoted and deployed across stages like DEV, QA, and PROD. Cleanup becomes easier too, with fine-tuned retention policies based on real usage patterns.
These improvements not only reduce clutter and manual effort but also improve visibility into what’s running where and why.
5. Embed security and orchestration directly into delivery
Security scanning and compliance shouldn’t be an afterthought. Modern DevSecOps teams are embedding policy enforcement and automated checks directly into their pipelines.
Scheduled Workers in Xray allow teams to run scans, generate reports, and push alerts at the right times without creating manual overhead. Dashboards tracking vulnerability trends across builds provide context and visibility, helping teams prioritize and triage quickly.
By shifting security left and making it part of everyday operations, teams gain both speed and peace of mind.
Managed, secure, and built for the cloud
Whether you’re running in AWS or Azure, iTmethods delivers the JFrog Platform as a fully managed, single-tenant solution hosted in the region of your choice.
We handle availability, scaling, upgrades, and support so you get the performance and control you need, without the operational burden. From CI/CD to MLOps, our managed services free your team to focus on delivering great software.
Why teams partner with iTmethods
- Cloud-native, single-tenant hosting: Fully managed JFrog Platform in AWS or Azure, deployed in your preferred region
- Strategic expertise: Over a decade of DevOps, cloud, and compliance experience
- Frictionless migrations: Seamlessly move Artifactory, Xray, and Pipelines with minimal disruption
- Always-on support: 24/7 managed services, monitoring, and automation
- Compliance-ready: Deep knowledge of SOC 2, ISO 27001, GDPR, and more
Let’s modernize your software supply chain
Start with a free JFrog Platform Assessment to see where your current environment stands and uncover immediate opportunities for impact.
We’ll help you:
- Unify your toolchain
- Secure every stage of the pipeline
- Eliminate manual overhead
- Deliver software and AI faster, and with more confidence
Request your health check or download the Solution Overview to learn more.
