PRODUCT INTELLIGENCE APPSEC

Semgrep
Custom-rule static analysis and supply-chain platform

Semgrep AppSec Platform

A code-security workflow where custom rules and triage deserve first-class attention

Semgrep offers pattern-based static analysis in Community Edition and a commercial AppSec Platform. The platform adds a Pro engine, supply-chain reachability, secrets detection, and SBOM capabilities. Custom rules are the distinctive teaching point: teams can write patterns for local frameworks instead of waiting on a generic rule pack.

01 / EDITORIAL JUDGMENT

The Atlas take.

Semgrep combines source analysis with separately scoped supply-chain and secret capabilities, while its rule system lets teams express security patterns relevant to their own code. Atlas analysis: it is particularly interesting when a security team wants understandable findings and the ability to encode local engineering conventions. The evaluation should distinguish the community engine, commercial analysis, and platform workflow rather than treating them as equivalent. Customizability brings ownership: somebody must test rules, manage exceptions, and prevent broad patterns from overwhelming developers with findings they cannot use.

Our interpretation of the cited evidence. Independent hands-on effectiveness remains unassessed.

02 / DEFINE THE BOUNDARY

What you are actually evaluating.

Community Edition versus paid rule quality, lockfile layout for supply-chain results, and interfile analysis on monorepos are the main tests. Community Edition is SAST patterns; composition reachability, secrets, and SBOM are platform features and should not be assumed in the free engine.

Names you may encounter Semgrep Community Edition · Semgrep Code. Historical names do not establish current feature equivalence.

03 / THE CONTROL PATH

Where it sits. How it works.

Atlas architecture interpretation: follow the actual artifact through the selected analysis engine and back to an owned development decision.

Conceptual architecture Atlas interpretation · verify the proposed configuration
  1. 01

    Repository and CI context

    Source and dependency artifacts are scanned in supported development paths.

  2. 02

    Selected analysis products

    Code rules, dependency analysis, and secrets checks have distinct capabilities and support.

  3. 03

    Triage and developer action

    Findings return to developers with policies, exceptions, and repeatable rule evidence.

04 / WHAT EARNS ITS PLACE

Strengths, with the evidence attached.

Atlas analysis of documented capabilities; availability and behavior depend on the edition and environment.

01

Local security knowledge can become rules

The rule-writing documentation supports custom patterns and tested rule development.

02

Code and dependency work are explicit products

Separate product documentation distinguishes source analysis and supply-chain analysis.

Inspect the documented capability notes
  • Community Edition pattern-based static analysis with custom rules.
  • A commercial Pro engine with documented analysis capabilities that should be evaluated separately from Community Edition on the same test corpus.
  • Platform supply-chain reachability, secrets detection, and SBOM features that are not the Community Edition engine.

05 / KNOW THE COMPROMISES

The tradeoffs to take seriously.

Architectural implications and procurement questions from Atlas; these are not independently measured product failures.

Engine and plan distinctions matter

Atlas analysis: compare the actual analysis mode and platform entitlement; a community scan is not evidence of every commercial feature.

Reachability has a scope

Supply-chain analysis needs supported ecosystems and available context; do not interpret an unknown relationship as an unreachable vulnerability.

06 / FROM PURCHASE TO PRACTICE

Make it work in your environment.

A proposed implementation sequence. Confirm supported versions, permissions, and rollback with the current documentation.

  1. 01

    Select a narrow policy set

    Choose issues the development team understands and can remediate.

  2. 02

    Test a custom rule

    Include positive, negative, and framework-specific cases in a versioned rule fixture.

  3. 03

    Roll out with ownership

    Observe findings before blocking; assign maintainers for rules, exceptions, and integration health.

07 / THE OPERATING COMMITMENT

The bill is only part of the cost.

Commercial shape

Confirm purchased products, contributor counting, and platform capabilities; include rule maintenance and CI capacity in the operating estimate.

  • Code, Supply Chain, and Secrets entitlement
  • Contributing developers and repository rollout
  • CI capacity and rule-maintenance effort
AFTER GO-LIVE

What your team owns

Rules, language coverage, scan mode, CI credentials, and finding policy require ongoing attention. Atlas analysis: start with a small, high-confidence policy set and test it against both vulnerable and legitimate examples. Expanding a ruleset is useful only if finding ownership and remediation capacity expand with it.

Confirm the full order form: modules, usage meters, support, retention, and exit costs. A public price is not your complete operating estimate.

08 / COMPARE THE JOB

Put these beside it.

Alternatives worth examining for the same problem. Check each offering’s scope before treating it as a substitute.

Open a comparison workspace ↗

09 / MAKE THE DECISION OBSERVABLE

Earn confidence through a real evaluation.

Suggested by Atlas. Agree acceptance criteria, use synthetic fixtures in an authorized environment, and capture both useful work and failed controls.

  1. TEST 01

    Validate a custom rule

    Acceptance evidence: Retain fixtures showing the intended flaw is found and legitimate code remains unflagged.

  2. TEST 02

    Compare full and change scans

    Acceptance evidence: Scan the same branch and revision with the planned modes and explain baseline differences.

  3. TEST 03

    Trace dependency context

    Acceptance evidence: Verify a known dependency path and document any reachability result that remains unknown.

START WITH ONE EXERCISE

Scan a lab repository you own with a seeded framework-specific weakness. First use Community Edition custom rules, then, if entitled, the AppSec Platform with supply-chain and secrets on the same repo.

Evidence to look for: The custom rule finds the seeded weakness, Platform-only findings are labeled as such, and any SBOM lists the seeded library or records why the lockfile could not be parsed.

Questions to bring to the vendor
  1. Which rules fire on Community Edition versus the Pro engine on this monorepo?
  2. Does lockfile layout support supply-chain reachability, or are package relationships missing?
  3. Is interfile analysis complete enough on the repository layout the team actually uses?
Take the evaluation brief with you ↓

10 / SHOW THE WORK

Evidence, and what is still unknown.

What this research cannot establish

  • No independent false-positive or language-coverage benchmark was performed.
  • Commercial engine behavior and dependency reachability require representative code validation.

Dossier research reviewed October 18, 2026. Earlier profile references are retained for traceability; products and commercial terms change.

  1. Semgrep documentation ↗Earlier profile reference
  2. Semgrep AppSec Platform ↗Earlier profile reference
  3. Writing Semgrep rules ↗Documentation
  4. Semgrep Code overview ↗Documentation
  5. Semgrep Supply Chain overview ↗Documentation

KEEP BUILDING YOUR JUDGMENT

Understand the system around the tool.

Read the APPSEC field guide ↗

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