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Compliance Hub OWASP Top 10 CWE Top 25 PCI DSS 4.0.1 MISRA C / C++ 2023 AUTOSAR C++14 ISO 26262 SEI CERT
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Honest comparison

PhantomYerra vs Snyk

Snyk is the developer-first benchmark for SAST (Snyk Code) and open-source dependency security (Snyk Open Source). Here is an honest, number-anchored side-by-side - including where Snyk leads.

24,476
Detection rules - far beyond Snyk Code's pattern set
340+
Native MISRA C/C++ rules - Snyk ships none
1,770
AI/LLM rules vs Snyk-AI's ~30
100%
Offline-capable - Snyk is cloud-first
Verdict: PhantomYerra exceeds Snyk on native rule depth, C/C++ + MISRA/CERT, compliance breadth, AI/LLM security, and offline/air-gapped deployment. We are at parity on SCA, SBOM, reachability, typosquat, malicious-package and license auditing. Snyk still leads on developer DX - mature IDE plugins, a polished PR-review bot, and a hosted, always-current vulnerability database.
Dimension by dimension

Side by side

Each cell is verifiable against the PhantomYerra source tree or Snyk's public docs.

DimensionPhantomYerraSnyk
SAST rule depth (per language)23,796 native, 13 deep enginesCurated pattern set (proprietary)
C / C++ depth10,318 native rulesLimited
MISRA / CERT / AUTOSAR (native)Yes - 340+ MISRA + CERTNone
Compliance breadth13+ standards mapped per findingOWASP / CWE focus
AI / LLM security rules1,770 (7 packs + 13-lang native)~30 (Snyk-AI)
SCA - SBOM (SPDX + CycloneDX)YesYes
Reachability analysisYes - all supported ecosystems (11 language families)Killer feature (broad)
Typosquat + malicious-packageYesYes
License compliance + dep treeYesYes
AI false-positive triageYes (multi-provider + local)DeepCode AI
AI autofix + verificationYes - every language, compile-loop or AI verifyDeepCode AI Fix
Deep IaC (TF / K8s+Helm / CFN / Ansible / Pulumi / OPA / Docker)Yes - native, in every SAST scanIaC + Container
Per-type reports (SAST / SCA / SBOM / IaC / Secrets)Yes - templated + compliance-mappedCombined
Offline / air-gappedYes - pure-Python, no uploadCloud-first
IDE plugins + PR-review botSARIF + CI; PR bot maturingMature, broad
Hosted always-current vuln DBLocal mirror w/ daily auto-refreshHosted, continuous
Report: fix-family grouping + worked examplesYesPer-finding

Where PhantomYerra exceeds

  • Rule depth at a different scale - 23,796 native SAST rules across 13 deep engines, each exceeding the deduped commercial peer total (1.06×–2.45×).
  • Real C/C++ and safety-critical coverage - 10,318 native C/C++ rules plus native MISRA C:2023 / C++:2023, SEI CERT, C++ Core Guidelines. Snyk Code does not target these.
  • 1,770 AI/LLM security rules - prompt injection, model-loading RCE, LLM key leakage, vector-DB/RAG and MCP/agent misuse - vs Snyk-AI's ~30.
  • Compliance breadth - 13+ standards mapped per finding so findings become audit evidence automatically.
  • Offline, air-gapped, pure-Python - your source never leaves the host unless you opt into an external AI provider; ideal for regulated and defense environments.
  • Fix-family reports - grouped findings with worked vulnerable→fixed examples instead of per-finding repetition.

Where Snyk still leads (honestly)

  • Developer DX - Snyk's IDE plugins (VS Code, JetBrains) and inline PR-review bot are mature and broad. Our CI/SARIF path is solid; the inline PR bot is maturing.
  • Hosted vuln-DB currency - Snyk's hosted database is continuously updated. We mirror OSV / NVD / GHSA with daily auto-refresh, which is excellent but operator-hosted.
  • Reachability ergonomics - Snyk's reachability is a polished, broadly-languaged killer feature with years of UX. Ours now covers every supported ecosystem (11 language families) and is offline; Snyk's hosted graph and presentation are still more refined.
  • Brand-wide ecosystem - marketplace integrations and a large plugin catalog built over years.

At parity on SCA, SBOM, reachability (all supported ecosystems), typosquat, malicious-package and license auditing. Every "Yes" is verifiable against the v51.2.0 source tree; rule counts are produced by re.findall over the scanner files.

Bring it in-house

If you need deep C/C++, native compliance, AI/LLM coverage, and a scanner that runs fully offline - run PhantomYerra on your own tree and compare.