The JFrog Trusted AI 2026 Playbook

As AI adoption accelerates, critical blind spots are created across the organization. These gaps in governance, security, and management allow unvetted AI assets to grow rapidly, exposing the organization to significant risks. Without a unified strategy, organizations often lose control over their AI assets, leading to unpredictable outcomes and major governance gaps.

The principles for uncovering these blind spots are the same for software and AI, but the stakes are higher. This playbook provides a concrete 5-pillar plan to bridge the gap between DevOps, SecOps, and MLOps and extend your existing trust to the entire AI/ML lifecycle.

Our Partners:

  • Vimeo
  • Ukg
  • Schwarz
  • Qualcomm
  • Philips
  • Keyloop
  • Coralogix
  • Chevron
  • AppFlyer

Best Practices For AI in 2026

Consolidate the Fragmented AI Toolchain

Unify all AI/ML and software artifacts into a single source of truth to eliminate tool sprawl, reduce operational overhead, and streamline model delivery.

Create a Secure, Fast Path to Production

Standardize how teams deploy models by using a secure AI gateway, enabling one-click deployment, automated controls, and frictionless movement from dev to production.

Centralize AI Visibility, Governance & Security

Discover shadow AI, inventory all models, enforce policies, and apply a governed AI supply chain (AI-BOM) to reduce model risk.

Ready to Make AI/ML Work for You in 2026?

Download the ebook to uncover strategies that bring AI/ML initiatives to life with JFrog’s Trusted AI Playbook

Download the ebook