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HEAD-TO-HEAD COMPARISON
Heeler vs Socket.
Agentic Development Security — one context engine spanning code, dependencies, runtime, and cloud that prevents, fixes, and operates as a single model of your running service, versus Socket, a supply-chain tool scoped to the security of your open-source packages.
EXECUTIVE SUMMARY
The whole surface, or one category.
Heeler runs the whole loop — Prevent, Fix, Operate — across SAST, SCA, secrets, supply chain, and agent files on one context engine that unifies code, dependencies, runtime, and cloud, with its own detection, prioritization by real runtime exposure, and remediation built and repaired in your CI until green.
Socket is a supply-chain tool scoped to one category — the security of your open-source dependencies, analyzed by inspecting the packages themselves; behavioral malware detection and the install-time firewall are Socket strengths, and by design it doesn't analyze your own source code.
Socket does that one category; Heeler covers it and everything around it, from source to running deployment.
THE FUNDAMENTAL DIFFERENCE
The whole loop across the surface, or the dependency category alone.
Heeler runs the full loop — prevent, detect, prioritize, fix-and-prove, and operate to closure — across SAST, SCA, secrets, supply chain, and agent files on one context engine that unifies code, dependencies, runtime, and cloud, then proves every fix green in your CI. Socket focuses on one category: the security of your open-source dependencies, analyzed by inspecting the packages themselves.
SOCKET
Software-supply-chain security, scoped to dependencies
Protect your apps from supply-chain attacks in your dependencies.
- →Behavioral + AI package analysis across 80+ risk signals, confirmed by a human threat-research team — malware, typosquats, install scripts, obfuscated code, protestware, capability/behavior
- →Install-time Firewall blocks malicious packages before download (wrapper / registry / proxy); static reachability in three tiers to cut CVE noise
- →Dependency autofix (Socket Fix), license policy, SPDX/CycloneDX/OpenVEX SBOM, a depscore MCP for AI assistants, CLI, and a VS Code extension
- →By design not a SAST, secrets, cloud, or runtime tool — 'we do not analyze customer source code'; reachability and prioritization are static; top reachability tiers and Firewall modes are Enterprise-gated
HEELER
Context-engine native, service-modeled
Prevent, Fix, and Operate on one model, across the whole surface.
- →One context engine across six dimensions (code, cloud/runtime, business, ownership, threat, agent), sensor-less and read-only
- →Its own detection — SAST (20+ languages), build-emulation SCA (14 ecosystems), first-class secrets, and agent-file governance
- →Prioritizes by runtime reachability and internet exposure; guardrails gate new risk at the PR; workflows operate to a runtime-verified close
- →Remediation makes the change and proves it: first-party code and dependency edits, built in a sandbox and repaired in your CI until green, opened as a merge-ready PR
VERDICT FRAMEWORK
Side-by-side, with a verdict per row.
Five states. Heeler-leaning where Heeler advances; explicit when Socket leads; honest about parity.
●
Heeler advantage
Heeler delivers a capability Socket does not, or in a fundamentally different way that changes outcomes.
◐
Heeler edge
Both deliver the capability. Heeler's implementation is materially better on a verifiable dimension.
✓
Parity
Both products deliver the capability comparably.
◑
Socket edge
Both deliver the capability. Socket's implementation leads on a verifiable dimension.
○
Socket advantage
Explicit signal that Socket leads on this row.
Scorecard — 24 capabilities, scoped to code security
| Section | ● Heeler advantage | ◐ Heeler edge | ✓ Parity | ◑ Socket edge | ○ Socket advantage |
|---|---|---|---|---|---|
| Prevent | 1 | 2 | 1 | 0 | 1 |
| Fix | 3 | 1 | 0 | 0 | 0 |
| Operate | 10 | 1 | 3 | 1 | 0 |
| Total | 14 | 4 | 4 | 1 | 1 |
| Capability | Heeler | Socket | Verdict |
|---|---|---|---|
| Prevent · stop risk before and as it enters | |||
| Security at AI code generation | Heeler shifts security into the coding agent itself — securing code inside the coding agent, at the keyboard, across the full surface (SAST weaknesses, secrets, and vulnerable, compromised, unmaintained, too-new, or out-of-policy-license dependencies), steering generation with org-specific runtime and ownership context. | Socket's MCP server exposes a depscore tool that returns Socket's package scores (supply-chain, quality, maintenance, vulnerability, license) to Claude, Copilot, Cursor, and other assistants, so an agent can check a dependency before adding it and steer away from low-scoring or malicious packages. Scoped to dependency risk — it doesn't assess the generated code itself for SAST or secrets. | ◐ Heeler edge |
| CLI / local developer scanning | The Heeler CLI runs local scans across the full surface — SAST, SCA, and secrets (with live validation) — for shift-left use pre-commit or in any pipeline, with no build changes. | Socket's local-dev surface includes the socket CLI (socket scan), the socket npm/npx wrapper, the sfw firewall wrapper, a VS Code extension, and a Chrome extension — all focused on dependency and supply-chain risk. It doesn't scan your own source for SAST or secrets (Socket does not analyze customer source code). | ◐ Heeler edge |
| PR guardrails & policy enforcement | Block / Warn / Observe guardrails post a native status check on GitHub, GitLab, Bitbucket, and Azure DevOps and gate PRs on new dependency vulnerabilities, dependency hygiene (unpinned, minimum-age, compromised), SAST findings, secrets, and SLO violations — scoped by service tier and internet-exposure — with an in-PR validated fix. Block relies on SCM branch protection to enforce. | Socket posts a Pull Request Alerts status check with four actions — Block, Warn, Monitor, Ignore — gating on its supply-chain, license, and vulnerability alerts (only Known Malware blocks by default; the rest are advisory until configured). Enforcement requires enabling SCM branch protection and marking the check required. | ✓ Parity |
| Install-time / registry supply-chain firewall | Heeler improves install-time posture through the package manager itself. Its Package-Manager Cooldown drives each manager's native minimum-release-age setting (npm, pnpm, Yarn, Bun, uv, pip, Deno) — committed to every repo root and set globally on developer laptops — so a too-new version, where most supply-chain attacks live, is refused at the point of installation on both laptops and CI runners, before a PR exists. It's the client-side complement to Heeler's PR-time minimum-age guardrail and its auto-fix age gate. The Heeler CLI adds local SAST/SCA/secrets scanning pre-commit. It is not a registry proxy and doesn't intercept installs to block known malware the way a firewall does. | Socket Firewall intercepts package-manager requests as an HTTP/registry proxy and blocks malicious packages before they're downloaded — at any dependency depth, including transitive. The Free tier is a zero-config wrapper (sfw) that blocks confirmed malware for npm/PyPI/Cargo; Enterprise adds registry/proxy modes, configurable policy, private registries, allow-lists, and org-wide install visibility. | ○ Socket advantage |
| IaC pull-request guardrails | Heeler evaluates the Infrastructure-as-Code findings introduced by a pull request instead of failing a change because of pre-existing repository debt. It returns a native source-control check controlled by program policy: Observe records the violations and the decision that would have been made, Warn reports them without preventing merge, and Block fails the check so repository rules can require it. The same policy can move from observation to enforcement without creating separate rules or CI logic. | No documented capability. | ●Heeler advantage |
| Fix · resolve findings — code and dependencies | |||
| SAST autofix | Deterministic, strategy-matched transforms (Parameterize / Escape / Allowlist / Path-Normalize) anchored to the exact source-to-sink flow, precomputed on every scan, confidence- and effort-scored, delivered as human-reviewed PRs. | Not offered. Socket does not analyze first-party source code, so it produces and fixes no SAST findings. | ● Heeler advantage |
| SCA autofix | Deterministic, multi-signal upgrade selection over the resolved dependency graph — Heeler picks the version that clears the most risk with the least disruption: one that introduces no new known vulnerabilities, is proven in real-world adoption, and has cleared your minimum-age cooldown — and for transitive vulns finds the smallest bump to the direct ancestor you control (npm, Go, Cargo). Auto-fixable across Java, Go, JavaScript, Python, and C#, and validated in your CI before merge. | Socket Fix (Coana-based) computes the least-disruptive upgrade path to a patched version, resolves transitive vulns by bumping the responsible direct dependency, and offers --no-major-updates and a --minimum-release-age cooldown. Local mode applies fixes for you to test; autopilot opens PRs and auto-merges when your CI checks pass. Across npm/pnpm/Yarn, Maven/Gradle, NuGet, Go, Python (uv), Ruby, and Cargo. | ◐ Heeler edge |
| Validated, merge-ready fixes (build + CI repair) | Heeler validates every fix twice: a real build in an isolated sandbox with your project's toolchain before the PR (mvn/Gradle, npm/pnpm/Yarn, pip/uv/Poetry, go build, dotnet), then — once the PR is open — it runs your CI and repairs its own build/test failures with up to five follow-up commits until green, or hands off with an explanation. Draft PR if the sandbox build didn't pass; human review, no auto-merge. | Socket Fix uses upgrade planning to minimize breakage and, in autopilot, auto-merges a PR only if your existing CI checks pass — it doesn't build the project, run tests, or repair failing CI itself; that validation is delegated to your pipeline. The docs advise developers to test the change locally before merging. | ● Heeler advantage |
| Policy-managed remediation memories | Heeler stores administrator-approved remediation guidance as memories in program policy and scopes each memory to an organization or repository. On later remediation runs, the Remediation Agent retrieves the applicable memories and applies the repository’s conventions and constraints when generating a fix. The guidance is centrally governed and reusable; it is not a one-off prompt, a triage-suppression rule, or generic model memory. | No documented capability. | ●Heeler advantage |
| Operate · detect, prioritize, and run the program | |||
| SAST detection | Path-aware, interprocedural source-to-sink taint analysis across functions and files from Heeler's own engine, with detection rules adapted per codebase and automatic triage. 20+ languages. | Not offered. Socket does not analyze customer source code — its analysis targets your third-party dependencies, not your own application code. | ● Heeler advantage |
| Dependency vulnerability (CVE) detection | Build-emulation SCA across 14 ecosystems (using a committed lockfile when present, without requiring one, and no build required) — direct, transitive, first-party, and bundled dependencies — matching CVEs with CVSS, EPSS, and known-exploited signals, plus GitHub Actions as a first-class ecosystem. | Socket detects known CVEs across a broad set of ecosystems (JS/TS, Python, Go, Java, Ruby, .NET, Scala, Kotlin, Rust, PHP, and more) from public advisory data, alongside its package-risk scoring, and even scans AI model files. Several ecosystems are CVE-only (Swift, C/C++, Dart, Julia, Elixir/Erlang). | ✓ Parity |
| Supply-chain attack & malicious-package detection | Heeler detects compromised/malicious and typosquatted packages, unmaintained projects (OSSF Scorecard), too-new versions (minimum-age), unpinned versions, and downgrades — and treats your CI/CD supply chain as first-class: it resolves the actions and reusable workflows your pipelines use (composite actions and bundled JavaScript packages several layers in) and risk-scores each on pin status, publisher trust, provenance / signed build attestation, OSSF source health, and a composite trust score, plus integrity checks — impostor commits, typosquats, and abandoned sources. It also analyzes the workflow files themselves for attack paths — dangerous triggers (pull_request_target), cross-step/job expression injection, OIDC misuse, over-broad GITHUB_TOKEN, and secret-exfiltration patterns — and blocks known-bad or typosquatted packages and actions at the PR. For open-source package code, detection draws on advisories, known-bad/typosquat lists, and provenance/maintainer-integrity signals rather than behavioral analysis of the package's own code, where Socket's engine goes deeper. | Behavioral analysis of a dependency's own code across 80+ risk signals — install scripts, obfuscated and native code, shell/network/filesystem/eval/env-var access, telemetry, protestware, typosquats, unstable ownership — combined with an AI malware scanner confirmed by a human threat-research team, sometimes flagging malware before a CVE is issued. A real-time Threat Feed tracks new campaigns. | ◑ Socket edge |
| Secrets detection & validation | First-class secrets: full git-history scanning with commit attribution, live/active validation, scheduled re-validation, rule- and entropy-based, offline in the CLI; an exposed active secret is weighted as maximal impact in prioritization. | Not offered for your repositories. Socket detects secrets and high-entropy strings inside published packages (and in its Threat Feed), but does not scan your own source or commit history for secrets. | ● Heeler advantage |
| Dependency reachability & noise reduction | Heeler treats a dependency vuln as reachable only when two independent checks agree: runtime reachability (the library is loaded in a running deployment) and, across six ecosystems (Go, Java, Python, JS/TS, Rust, Ruby), static call-graph reachability to the specific vulnerable functions. Unreachable findings are auto-mitigated; where call-graph isn't supported it uses runtime reachability and errs toward reachable. | Socket's reachability filters unreachable CVEs statically in three tiers — Dependency (package-level import graph), Precomputed (function-level on transitive dependency code), and Full Application (function-level across your app + dependency code, pinpointing exact locations) — reducing false positives up to ~35 / 80 / 90%. Static, no runtime agent; broad ecosystem coverage. Precomputed is Team+, Full Application is Enterprise-only. | ✓ Parity |
| Runtime-aware prioritization | Heeler Risk (Urgent / Plan / Defer) ranks SAST and SCA findings by real exposure — assessed differently for each. For SCA, a vuln must clear a gate: reachable (runtime-loaded, plus a call-graph path where supported) and internet-exposed (an active deployment on internet-reachable compute), then scored by compromise and chaining (can the deployment reach datastores, secrets, or a Tier-1 service). For SAST, exposure is path-driven from an internet-facing entry point, behind authentication, touching sensitive data. Both are weighted by service tier and threat (KEV/EPSS for dependencies; CWE class for code), with a per-finding SLO, re-scored continuously as deployments change. | Not offered. Socket's prioritization is static reachability plus policy severity (a Severity → Priority → Action model); it has no runtime, deployment, or internet-exposure signal, so it can't tell a live, internet-facing finding from a dormant one. | ● Heeler advantage |
| Six-dimension context engine (incl. cloud/runtime) | One graph across code, cloud/runtime, business, ownership, threat, and agent — enumerating API endpoints and their authentication from source and computing internet exposure from live deployment topology across AWS, GCP, Azure, Kubernetes, and Vercel, connected read-only with no sensors or build changes. | Not offered. Socket models third-party packages and their risk; it has no cloud/runtime model, API/endpoint inventory, service-ownership, or internet-exposure awareness (reachability is static, explicitly no agents in production). | ● Heeler advantage |
| Agent-file detection & governance | Heeler inspects pull-request changes to agent instructions, skill files, hooks, subagents, and MCP configuration, including CLAUDE.md, AGENTS.md, and SKILL.md. It combines deterministic checks, LLM-based intent analysis, and analysis of external references to identify prompt injection, tool poisoning, unsafe command execution, secret access or exfiltration, permission bypass, and related agent-control risks. The evidence and verdict are returned through Observe, Warn, or Block before the changed artifact is trusted by coding agents. | No documented capability. | ● Heeler advantage |
| License compliance | Detects dependencies whose license falls outside your policy, with normalized license data per package and package version, gated at the PR via the dependency-hygiene guardrail. | Socket detects a broad range of license types across permissive and copyleft tiers with a default-deny policy model (anything not explicitly allowed is denied), enforced pre-merge with Block/Warn/Monitor/Allow actions. | ✓ Parity |
| SBOM & dependency inventory | A live dependency inventory and CycloneDX SBOMs at five scopes — including runtime SBOMs per running service and per deployment, built from real runtime context, alongside global, application, and repository scopes. The runtime scopes reflect what's actually deployed, not just what's declared. | Socket exports SPDX, CycloneDX, and OpenVEX (VEX statements use reachability to mark CVEs affected / not-affected / under-investigation) with a live dependency inventory — but all from static manifest and dependency analysis, with no runtime or per-deployment SBOM. | ◐ Heeler edge |
| Lifecycle, workflows & SLOs (operate the program) | Findings run Active → Fixed → Deployed with runtime-verified closure (a fix is Deployed only when the running deployment confirms it's gone), and event-driven workflows route to the owning team (Jira/Linear/Shortcut, Slack/Teams), auto-trigger validated remediation PRs, and close SLOs only on a runtime-verified fix. | Socket offers analytics dashboards (7/30/90-day), Block/Warn/Monitor/Ignore triage, automated Jira/Linear ticketing with priority mapping, Slack/webhooks, and OpenVEX export — a triage-and-ticketing lifecycle, but no runtime-verified closure and no SLO enforcement engine. | ● Heeler advantage |
| Sensitive-data inventory | Heeler analyzes application source to identify the sensitive data types handled by the code and records them in the application catalog. Each data type is connected to the repositories, services, APIs, and owning teams that process it, together with business criticality and available deployment or exposure context. A reviewer can move from a data type to the applications and interfaces that handle it and evaluate that data-handling risk with the same ownership and runtime context used for other application-security findings. | No documented capability. | ●Heeler advantage |
| Infrastructure-as-Code findings | Heeler evaluates Infrastructure-as-Code against policy and creates a persistent finding for each violation. The finding retains the affected file or infrastructure resource and links it to the repository, application, owning team, business criticality, and any connected cloud or runtime object. The same finding is used for prioritization, lifecycle tracking, workflow routing, pull-request guardrails, and remediation instead of remaining a one-time CI scanner result. | No documented capability. | ●Heeler advantage |
| GitHub audit-log behavioral checks | Heeler ingests the GitHub organization audit log for each connected organization and evaluates defined patterns across the resulting source-control events. A match creates a native finding that retains the actor, action, affected repository or organization, timestamp, and matching event context. The finding enters Heeler’s ownership, prioritization, investigation, workflow, and lifecycle tracking rather than remaining a searchable or exported log event. | No documented capability. | ●Heeler advantage |
| OpenSSF Scorecard repository health | Heeler records the repository’s OpenSSF Scorecard result and each check outcome on the repository object in the catalog. The same repository view links the signal to applications, ownership, vulnerabilities, dependency health, provenance, deployment, and exposure context. Teams can inspect which Scorecard checks reduced the result and evaluate repository-maintenance risk in relation to the applications that use the repository instead of treating the score as an external badge. | No documented capability. | ●Heeler advantage |
WHERE HEELER ADVANCES
Where an end-to-end platform beats a single-category specialist.
Every one of these maps back to the context engine — not features bolted onto a scanner.
01
One platform across the whole surface, not one category
Socket is deliberately a software-supply-chain tool — it analyzes your third-party dependencies, not your own code. Heeler runs the whole loop across the whole surface on one context engine: SAST, secrets, SCA, supply chain, cloud/runtime, and agent files — prevent, detect, prioritize, fix-and-prove, and operate to closure. Socket does that dependency slice; Heeler covers it and everything around it.
02
Prioritize by runtime, not just static reachability
Socket's static reachability filters unreachable CVEs, but it explicitly runs 'no agents in production' — so it can't see whether a service is actually deployed, internet-facing, or handling sensitive data. Heeler adds that runtime and exposure dimension on top of reachability, so a live, internet-reachable finding ranks above a dormant one that looks identical on paper.
03
Remediation proven in your CI, not planned around it
Both fix dependencies, and Socket Fix plans an upgrade path to minimize breakage. But Heeler builds every fix in an isolated sandbox and then repairs its own CI failures until green — for code and dependencies — before a human merges it. Socket Fix, in autopilot, auto-merges when your existing CI passes; it doesn't build or test the change itself.
04
Operate to a runtime-verified close
Heeler moves findings Active → Fixed → Deployed and closes an SLO only when the running deployment confirms the vulnerability is actually gone. Socket's lifecycle is triage-and-ticketing — dashboards, Block/Warn/Monitor, automated Jira/Linear tickets, OpenVEX — with no runtime confirmation that a fix took effect and no SLO engine.
05
Machine-speed security for the AI SDLC
AI writes code — and pulls in dependencies — faster than review can keep up. Heeler runs one continuous loop across the whole surface at machine speed, including governance of the agent-instruction files (CLAUDE.md, skills, .mcp.json) that steer those agents — a risk surface Socket doesn't attempt. Socket secures the dependency slice of that world; Heeler secures the whole of it.
See Heeler across your AI SDLC.
Heeler secures the whole AI SDLC — not just code. A demo runs it against your real repos and cloud: detection across the surface, the runtime map, prioritization, validated remediation PRs, and the agent-file catalog. If Socket is watching your dependencies today, we can show the rest of the loop around it — and how Heeler covers the dependency slice too.
