Hundreds of CVEs in one image. Only a few can reach your code — JFrog Advanced Security checks whether each CVE actually applies to your code — in source, images and JARs — and adds secrets, SAST and IaC scanning on the JFrog Platform you already run.
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This page covers JFrog Advanced Security — the applicability and code-scanning add-on. The rest:
Most product pages skip this. We start here — so you buy a capability, not a buzzword.
A paid add-on on top of Xray — CVE applicability, secrets, SAST, IaC and misconfiguration scanning, plus Runtime Integrity.
What consolidation actually replaces, dimension by dimension.
| Dimension | A CVE scanner without context | JFrog Advanced Security |
|---|---|---|
| The CVE list | Every CVE in every dependency | Applicable CVEs first, with the reason |
| What gets scanned | Source repositories only | Source, images and JARs in Artifactory |
| Secrets | Found after a leak | Flagged in the IDE, the PR and binaries |
| Where findings appear | A security portal developers ignore | IDE, pull request, registry, cluster |
| Tools to run | SCA, SAST, secrets and IaC separately | One add-on on the platform you run |
| What it is NOT | — | Not sold without Enterprise X or + |
The best test of the core claim costs nothing: take a service with a long CVE list and have an engineer check a sample of the not-applicable verdicts.
Vendors love diagrams; buyers need to know what they’re actually operating. Here’s the whole platform, demystified.
Xray finds the CVEs, licences and malicious packages in your artifacts. Advanced Security adds context on top, which is why it is sold only on tiers that already include Xray.
Checks whether your first-party code calls the vulnerable function, and whether the configuration an exploit needs is present — in source code and in Docker images and JARs.
Run in the IDE plugins, the JFrog CLI and Frogbot on pull requests. JFrog documents that SAST runs locally, so source code is not sent outside your environment.
Talks to the Kubernetes API to track nodes, workloads, pods and containers. The separately paid Runtime Impact extension adds an eBPF sensor on every node for process-level detail.
Xray finds every CVE — Advanced Security checks which ones your code, images and clusters can actually reach.
JFrog Advanced Security filters the CVE list before anyone reads it — applicability, secrets, SAST and IaC on the platform, and the rest of the JFrog platform.
Source-code contextual analysis for Java, JavaScript, TypeScript, Python, Go and C# — so the fix list starts with CVEs your code can hit.
Applicability checks run on Docker images and on Maven and Gradle JARs in Artifactory, not only on the source that produced them.
C/C++, C#, Go, Java, JavaScript, Kotlin, Python, Rust and TypeScript, with cross-file data-flow analysis from source to sink.
Matches known credential formats and random-looking values in suspicious variables, with token validation to show which are live.
Terraform modules and plans, plus insecure use of common libraries and services such as Django, Flask, Apache and Nginx.
Tracks clusters, workloads and containers through the Kubernetes API; Runtime Impact, a paid extension, adds node-level eBPF sensors.
The add-on in action, cutting CVE fix time, a secrets workshop and runtime security in one minute.
The add-on end to end, from scan to applicability.
Why a CVE list needs context before it becomes work.
Finding exposed credentials in code and binaries.
The runtime layer in one minute.
Want a live, India-context walkthrough for your environment?
Book a guided demo →Here’s what genuinely sets it apart — and exactly where it stops.
An SCA scan reports every CVE in every dependency, whether or not your code touches it. Contextual analysis checks whether your code calls the vulnerable function and whether the exploit’s prerequisites exist — so engineers start with the CVEs that apply, not the whole list.
Most code scanners stop at the repository. Because this runs inside the JFrog Platform, applicability checks also run on Docker images and JARs in Artifactory — the artifacts that actually reach production, including third-party images you never had the source for.
The same findings appear in the IDE plugins, the JFrog CLI, Frogbot on pull requests, Artifactory and Runtime Integrity in Kubernetes. Security sets policy once; developers see it where they work, and nobody reconciles four scanners’ severity scales.
It is not sold on its own: you need Enterprise X or Enterprise+, and the price is a quote per contributing developer. Source applicability covers six languages, not all nine SAST ones. And if your code lives in GitHub and nothing else, a GitHub-native tool may be simpler.
Licensing is per contributing developer. Count contractors and bots too, then compare with your tier’s base of 50 or 200.
Pick a service with a long CVE list. Scan the source and the Docker image in Artifactory, and keep both reports.
Have an engineer verify a sample of CVEs marked not applicable. That test decides whether the list can be trusted.
Install the IDE plugin and Frogbot on one team’s pull requests, so secrets and SAST findings land before merge.
Commit on the developer count you will cover in year one, and decide separately whether Runtime Impact is needed.
Modelled on Gartner Peer Insights structure. *Counts and breakdowns are illustrative pending verified review collection.
“Our base-image CVE count stopped being a debate. Most were marked not applicable, and the rest came with the reason why.”
“Secrets scanning on the JARs already in Artifactory found an old token nobody would have searched the repos for.”
“Frogbot comments on the pull request, so developers fix it before merge. Security stopped chasing tickets after release.”
“Count contributing developers carefully before the quote. Contractors and bots in our repos changed the number.”
Analyst firms bury this view behind paywalls, and G2 retired its Grid. So here’s TechBag’s synthesis of the application security market — tap any vendor to see why it sits where it does.
Execution strength vs product vision — the classic market map, minus the paywall.
Applicability on source and binaries; platform-bound.
The grid nobody publishes — depth of CVE applicability filtering vs how much is scanned beyond source code.
Applicability in source, images and JARs.
Positions are TechBag’s illustrative synthesis of public review-platform data and vendor documentation — not a reproduction of any analyst graphic. Verify before relying on it.
Against Snyk, GitHub Advanced Security, Mend.io, Black Duck and Sonatype — on applicability, coverage, price, India and exit.
| Dimension | JFrog Advanced Security | Snyk | GitHub Advanced Security | Mend.io | Black Duck | Sonatype Guide/Lifecycle |
|---|---|---|---|---|---|---|
| What it is | Add-on on top of Xray | Developer-first AppSec | Two GitHub add-ons | AppSec platform | SCA plus Coverity SAST | Policy-led SCA |
| Deployment | SaaS or self-hosted | SaaS; private cloud | GitHub Cloud or GHES | SaaS | SaaS, on-prem, air-gap | Cloud or self-hosted |
| Scan coverage | SAST, secrets, IaC | Code to containers | Code and secrets | SCA, SAST, container | SCA and SAST | Open-source risk only |
| CVE applicability | Contextual analysis | Reachability, Java GA | Not on the plans page | SCA Reachability | Not published | JVM reachability |
| Pricing model | Per contributing dev | Prepaid credits | Per active committer | Per contributing dev | Quote-only | Credit-based tiers |
| Published entry price | Not published | Free, then $25/month | $19 + $30 per committer | Up to $1,000/dev/year | None published | Pro $1,200/year |
| Included vs add-on | Needs an Xray tier | Per product line | Two separate SKUs | SCA and SAST bundled | Separate products | Lifecycle inside Guide |
| Scale limits | Base developer counts | Test quotas below Ent | Committer-metered | No scan-volume caps | Not published | Credit allowance |
| Integrations | IDE, CLI, Frogbot, CI | IDE, CLI, SCM, CI | GitHub only | CLI and SCM apps | SCM, CI and IDE | CLI and CI plugins |
| Governance and SSO | SAML, SCIM, OIDC | Enterprise features | GitHub org controls | Not itemised | Policy, SSO unstated | Policy engine |
| India storage region | Mumbai and Pune | No India region | No India region | Not published | On-prem option | Self-hosted option |
| Support | 24/7 SLA included | Plan-dependent | GitHub plan support | Not itemised | Not published | Priority on Pro |
| Lock-in and exit | Platform-bound | Registry-independent | GitHub-bound | SCM-agnostic | Portable, heavy to run | Fits best with Nexus |
| Best fit | Teams on JFrog | Developer-led AppSec | All-in on GitHub | Per-developer budgets | Licence-heavy estates | Policy-first SCA |
Honest fit signals — because the fastest way to lose your trust is to pretend one product wins every scenario.
JFrog Advanced Security is one of 35 developer tools products TechBag carries. The Developer Tools guide narrows them to a shortlist and shows the reasoning. →
Drag the sliders (contributing developers; developer-hour cost). Estimates model 1.5 hours per developer per year spent triaging scanner findings that turn out not to apply, and assume 70% of that is avoided when findings are filtered by applicability — both are illustrative assumptions, not JFrog figures. Illustrative.
Loaded cost = salary + overheads per productive hour. Illustrative only — your TechBag quote models your actual environment and modules.
Quote-only: a paid add-on on Enterprise X (50 base contributing developers) or Enterprise+ (200 base), licensed per contributing developer, and included in the Unified and Ultimate security bundles. The SaaS Enterprise X tier it needs starts at $950/month. TechBag counts your developers, then quotes in INR with GST.
Best for teams already on Enterprise X/+
Best for a broader rollout
Best when Curation is also on the list
Whatever the list prices above, TechBag negotiates a significantly better deal — with GST-compliant INR invoicing and local support. Ask us for your discounted quote.
Tell us your requirements and current tools — we’ll model it against what you spend today.
Take this into your next vendor call — including ours.
Are you on Enterprise X or Enterprise+? On SaaS Pro there is no Xray, so the add-on needs a tier change first.
How does JFrog define a contributing developer in your contract, and do contractors and bots count?
Which of your languages get source applicability — Java, JavaScript, TypeScript, Python, Go, C# — and which only SAST?
Will the pilot run applicability on your real Docker images and JARs, not only on source repositories?
Can your engineers verify a sample of not-applicable verdicts before you rely on them to skip fixes?
Do you need only Runtime Integrity, or the separately priced Runtime Impact extension with node sensors?
Is the Mumbai or Pune region, plus retention of scan results, written into the contract rather than implied?
Which existing SAST, secrets or IaC tools does this replace — and are those contracts timed to end?
Count your contributing developers against the 50 or 200 base first, or let a TechBag advisor run a pilot on your own images and JARs.
Stats, ratings, review counts and pricing are illustrative and sourced from public materials; verify before purchase.