JFrog Runtime Security

Connecting the JFrog Software Supply Chain Platform to Wiz provides continuous, agentless security visibility and risk analysis across container images. 

The integration ties runtime signals on the Wiz Security Graph to JFrog’s binary-level lineage and ownership data. It provides security and engineering teams with a unified view of what's running, where it came from, whether it's trusted, and how to fix it, enabling teams to keep pace with frontier AI models that move faster than most organizations can respond. 

Market Challenge

Frontier AI-era exposure windows are down from days to minutes, putting pressure on security and engineering teams to maintain visibility across build artifacts and dynamic cloud runtime environments. Every second lost navigating the security visibility gap between cloud and AppSec teams slows remediation efforts and leaves the organization exposed to substantial security and compliance risk.

Benefits of the Integration

• Faster risk-to-fix motion: What previously took days of manual investigation now takes hours. Security teams see Wiz findings and JFrog software supply chain context in one unified view on the JFrog platform, with no manual correlation required.

• Continuous compliance instead of periodic audits: JFrog AppTrust cryptographic verification confirms every running workload pulled from Wiz matches what was signed and approved. This creates an environment for continuous compliance validation rather than snapshot-based periodic assessments.

• Ownership clarity and automatic routing: Every artifact in JFrog Artifactory carries the team, build pipeline, and individual who promoted it. When risks are identified by Wiz, ownership routes automatically; no time wasted chasing down who owns the fix.

•  Automatic detection of untrusted or tampered deployments: JFrog Runtime continuously verifies that what's running in production matches what your organization approved, flagging images from unauthorized sources and any signs of tampering after release. Every finding traces back to its origin in the build pipeline, so teams can act quickly with trusted, ready-to-deploy fixes already governed in JFrog.

Better Together

JFrog serves as the enterprise source of truth for software binaries and container images, while Wiz provides cloud and AI security through risk prioritization from the Wiz Security Graph. Together, JFrog and Wiz connect software build artifacts to the cloud environments where they run. When Wiz flags a new production risk, the integration immediately links it to the impacted artifact in JFrog, its build data, its owner, and the code-level fix. This collapses time-to-remediation from days to minutes. Developers continue using Artifactory's repository governance, while security teams gain context into how container images and their vulnerabilities relate to production cloud assets, enabling faster, more targeted remediation across the software lifecycle.

Close The Security Visibility Gap Between Runtime And Fix

Challenge

When vulnerabilities are discovered in production applications, security teams need to act fast in tracing CVEs back to the software artifacts they impact and fixing them. The Frontier AI era has driven increasingly short exploitability windows and compliance SLAs, making manual security processes for tracing, prioritizing, and remediating vulnerabilities completely infeasible.

Solution

The JFrog Software Supply Chain Platform integrates with Wiz via API or the Wiz Outpost / Wiz Broker for isolated environments. Wiz presents running container inventory, cluster data, and image catalog information directly into JFrog Platform Live Assessment. Each workload is automatically matched to its corresponding Artifactory artifact. JFrog enriches every finding with Xray vulnerability analysis, Contextual Analysis (confirming whether CVEs are actually reachable and exploitable), build provenance (which pipeline and team produced the image), and trust status (whether the image came from an approved registry).

Impact

Organizations reduce mean time to remediation (MTTR) by focusing exclusively on container images that introduce actionable attack paths and toxic combinations. Untrusted images from unapproved registries and tampered images that no longer match their approved Artifactory source are flagged automatically, eliminating the blind spot around shadow deployments running in production. Remediation paths trace directly to the build pipeline, with fix availability confirmed against existing Artifactory artifacts.