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HEAD-TO-HEAD COMPARISON
Heeler vs Veracode.
Heeler is Agentic Development Security — an end-to-end platform that prevents, fixes, and operates on one context engine spanning code, dependencies, runtime, and cloud. Veracode is a long-established application-security platform spanning static analysis, SCA, and ASPM. Here's where Heeler advances, where the two are equivalent, and what the AI SDLC needs past detection.
EXECUTIVE SUMMARY
Heeler models the running service; Veracode scans the build.
Heeler and Veracode overlap on detection — SAST, SCA, reachability, secrets, supply chain — where Heeler leads or matches; Heeler pulls ahead on everything past detection, reasoning across code, dependencies, runtime, and cloud as one model: native cloud/runtime and internet-exposure context, runtime-aware prioritization, validated CI-repair remediation, agent-file governance, and operate-to-verified-closure. Veracode covers static analysis, SCA with Vulnerable Methods, the Package Firewall, Veracode Fix, and Risk Manager (ASPM), correlating its scanners into one risk view — though its cloud/runtime context isn't native (Risk Manager aggregates other tools' findings) and its static engine needs a compiled, packaged build before it can scan.
THE FUNDAMENTAL DIFFERENCE
Heeler models the running service as one engine — code to cloud. Veracode scans the build and correlates the risk.
Heeler reasons across code, dependencies, runtime, and cloud as one model — where that code runs, what's exposed, who owns it, and whether a fix actually took effect in production — and proves each fix green in your CI. Veracode scans the built artifact and, through Risk Manager, correlates a view of other tools' findings.
VERACODE
AppSec platform + ASPM
Scan the build; correlate the risk.
- →Static analysis of compiled binaries/bytecode (requires a packaged build), an SCA agent that builds to resolve dependencies + Vulnerable Methods, and the Package Firewall
- →Veracode Fix generates AI code patches for SAST flaws (IDE/CLI/PR), SCA auto-PRs bump to the next safe version, and Security Labs provides developer training
- →Risk Manager (ASPM) aggregates and correlates findings from other tools across repos, pipelines, and cloud; a policy engine with grace periods; EPSS + observed-exploit on SCA
- →No native cloud/runtime observation (Risk Manager ingests other tools; EASM is outside-in); fixes are compile-checked, not CI-validated; closure by re-scan; no MCP server, no agent-file governance, no per-finding SLO
HEELER
Modeled around the running service
Prevent, Fix, and Operate on one runtime-aware model.
- →One context engine across six dimensions (code, cloud/runtime, business, ownership, threat, agent), sensor-less and read-only — runtime exposure is a native input
- →Its own detection — SAST, build-graph SCA (14 ecosystems), validated secrets, agent-file governance — plus an MCP server, Agent Skills, and a CLI
- →Prioritizes by runtime reachability and internet exposure; remediation is built in a sandbox and repaired in your CI until green
- →Guardrails gate new risk at the PR; workflows operate to a runtime-verified close with per-finding SLOs
VERDICT FRAMEWORK
Side-by-side, with a verdict per row.
Five states. Heeler-leaning where Heeler advances; explicit when Veracode leads; honest about parity.
●
Heeler advantage
Heeler delivers a capability Veracode doesn't, or in a 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.
◑
Veracode edge
Both deliver the capability. Veracode's implementation leads on a verifiable dimension.
○
Veracode advantage
Explicit signal that Veracode leads on this row.
Scorecard — 25 capabilities, scoped to code security
| Section | ● Heeler advantage | ◐ Heeler edge | ✓ Parity | ◑ Veracode edge | ○ Veracode advantage |
|---|---|---|---|---|---|
| Prevent | – | 3 | 1 | – | – |
| Fix | 4 | – | – | – | – |
| Operate | 8 | 6 | 2 | – | 1 |
| Total | 12 | 9 | 3 | – | 1 |
| Capability | Heeler | Veracode | Verdict |
|---|---|---|---|
| Prevent · stop risk before and as it enters | |||
| Security at AI code generation | Heeler's MCP server hands the coding agent its runtime-aware context as it writes — 30+ read-only tools exposing live SAST, SCA, and secrets findings, endpoint exposure, runtime and deployment risk, guardrail status, and SLO pressure, plus named secure-development prompts — and can trigger Heeler's validated remediation with the right scope. Drop-in Agent Skills and the CLI cover the same surface locally, for Claude Code, Cursor, Codex, and VS Code. | Veracode Fix generates AI code patches (an ML model with retrieval-augmented generation) for Pipeline-Scan SAST flaws, offering up to five ranked fixes a developer applies in the IDE (VS Code, JetBrains, Eclipse, Visual Studio) or via the CLI, and Security Labs adds hands-on secure-coding training. It's IDE- and CLI-side AI remediation, not an MCP server serving the agent live, runtime-aware context as it writes — and it covers SAST findings only, without triggering a validated fix. | ◐Heeler edge |
| CLI / local developer scanning | The heelercli runs local scans across the full surface — SAST, SCA, secrets (with live validation), license, and malicious-package checks — with non-zero exit for pre-commit and CI, SARIF output, and policy-as-code; plus IDE reach through the MCP server. | The Veracode CLI runs static (Pipeline Scan), SCA agent, container/IaC, SBOM, and fix commands locally with break-the-build exit codes, and the Veracode Scan plugins bring the same to VS Code, JetBrains, Eclipse, and Visual Studio (the older Greenlight IDE scan is retiring end-of-2026). SAST runs on a packaged, compiled artifact rather than as-you-type, and pipeline/IDE results stay local rather than syncing to the Platform. | ✓Parity |
| 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, SAST, secrets, and SLO breaches — scoped by runtime context (enforce only on Tier-1, production, or internet-facing services) — with a validated fix committed straight into the PR branch. Block relies on SCM branch protection to enforce. | Veracode integrates natively with GitHub and GitLab: Pipeline Scan and the SCA agent run on push/PR, findings post as status checks, inline annotations on the Files-changed tab, and code-scanning alerts, and you can set Veracode checks as required checks to block merges on a protected branch or break the build on policy in the pipeline. Gating is by policy (severity/CWE/CVSS, new-findings baselines) rather than runtime exposure, and it doesn't commit a validated fix into the PR. | ◐Heeler edge |
| 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. | Veracode can scan Infrastructure-as-Code in developer and CI workflows and participate in required checks. Its documentation does not describe separate Observe, Warn, and Block rollout modes under one policy. | ◐Heeler edge |
| 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 per finding on every scan, confidence- and effort-scored, and delivered as PRs validated the same way as dependency fixes (sandbox build + CI repair). Findings needing an architectural change get written guidance instead. | Veracode Fix is an ML+RAG AI-remediation product: an ML + retrieval-augmented-generation model generates up to five ranked code patches per SAST flaw, applied in the IDE/CLI or committed to a branch as a pull request by its GitHub Action. But it resolves Pipeline-Scan SAST findings only, does a best-effort compile check rather than a real build, and runs no tests and no repair loop — the docs note a flaw is counted fixed “even if the applied fix breaks the build,” leaving validation to the developer. | ●Heeler advantage |
| SCA autofix (upgrades) | Deterministic, multi-signal upgrade selection over the resolved graph — Heeler picks the version that clears the most risk with the least disruption (no new known vulnerabilities, proven adoption, cleared minimum-age cooldown), and for transitive vulns finds the smallest bump to the direct ancestor you control (npm, Go, Cargo). Every fix is built in a sandbox and repaired through your CI until green before merge. Auto-fixable across Java, Go, JavaScript, Python, and C#. | Veracode's SCA update advisor opens automatic pull requests on GitHub and GitLab that bump a manifest to the “next closest safe version” across Maven, Gradle, Pip, Pipenv, Bundler, npm, Bower, CocoaPods, and Composer — a deterministic single-signal version bump. It doesn't build or test the change, weigh multiple upgrade signals, or resolve transitive vulns through the ancestor you control, and it advises ignoring the PR when the safe version is a major bump. | ●Heeler advantage |
| 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. | Veracode doesn't build, test, or CI-validate a fix. Veracode Fix does a best-effort compile check only (and counts a flaw fixed even if the build breaks); SCA auto-PRs are opened without a build or test; closure is confirmed by rebuilding and re-scanning until the finding no longer appears — not a build/test-in-CI repair loop. | ●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 — plus structural (Graphscan) and heuristic methods — from Heeler's own engine, with detection rules adapted per codebase, automatic reachability/exposure triage, and step-by-step data-flow proof. | Veracode Static Analysis models control and data flow to trace tainted source-to-sink datapaths across a broad language set (~23, including COBOL, Apex, and mobile frameworks), and can even assess third-party binaries. But it analyzes compiled binary/bytecode, so it requires a successfully built, packaged artifact first (an autopackager compiles the project), runs as a Platform “Upload and Scan” or a separate SAST-only Pipeline Scan, and applies fixed query logic rather than rules adapted per codebase with automatic runtime-aware triage. | ◐Heeler edge |
| Dependency vulnerability (CVE) detection | Build-graph SCA across 14 ecosystems that resolves the full direct-and-transitive graph itself, from your manifests and lockfiles — using a committed lockfile when present, without requiring one, and no build change — covering first-party and bundled dependencies too, matched with CVSS, EPSS, and known-exploited signals. GitHub Actions and reusable workflows are a first-class dependency ecosystem, scanned like any other. | Veracode SCA runs two ways: an agent-based scan that builds the project locally to resolve the full dependency graph (with EPSS and observed-exploit signals), or an Upload-and-Scan / SBOM path that inventories components from hashes and lockfiles. The most complete mode requires building the project, and neither mode treats GitHub Actions or CI workflows as a scanned dependency ecosystem. | ◐Heeler edge |
| Supply-chain & package-reputation detection | Heeler flags compromised/malicious and typosquatted packages, unmaintained projects (OSSF Scorecard), too-new versions (minimum-age), unpinned versions, and downgrades — and treats the CI/CD supply chain as first-class, scoring GitHub Actions on pin status, provenance, and integrity checks (impostor commits, typosquats, abandoned sources). | Veracode Package Firewall proxies your package registries (Cargo, Go, Maven, npm, NuGet, PyPI, RubyGems) and blocks untrusted packages before download — malware, typosquatting, dependency confusion, author-takeover, and install-script abuse — using OPA/Rego policy over Phylum-derived behavioral analytics, alongside SCA malicious-library and license detection. Preventative, proxy-and-block supply-chain coverage. | ✓Parity |
| 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 static call-graph reachability to the vulnerable functions across six ecosystems (Go, Java, Python, JS/TS, Rust, Ruby). Unreachable findings are auto-mitigated; elsewhere it uses runtime reachability and errs toward reachable. | Veracode SCA Vulnerable Methods statically determines, during an agent-based build, whether your first-party code actually calls the vulnerable method, with full stack traces, across nine language/package-manager combinations. It's static call-graph only (no runtime signal), needs a full agent build (not the quick scan, Upload-and-Scan, or container scan), and pairs with EPSS and observed-exploit flags for noise reduction. | ◐Heeler edge |
| Secrets detection & validation | First-class secrets: full git-history scanning across all branches with commit attribution, active live validation (read-only calls to the issuing provider; an active secret is weighted as maximal impact), offline structural validation, and 700+ rules across 20+ languages; contained and gated at the PR. | Veracode detects secrets as a feature of Container Security — regex/RE2 rule matching (with custom rules) over container images, IaC files, directories, and repos, masking matches with line locations. There's no live validation of whether a secret is active, no first-class full-git-history secrets scan in static analysis, and detection is pattern-based only. | ●Heeler advantage |
| Dynamic application security testing (DAST) | Not offered as dynamic scanning of a running application. Heeler instead computes the exposed attack surface statically — every endpoint enumerated from source with its authentication posture and internet-accessibility from deployment topology — so the externally reachable, unauthenticated surface is inventoried without a deployed target, credentials, or traffic capture. It does not send live traffic against a running app. | Veracode DAST is an established dynamic scanner for running web apps and REST APIs — non-invasive quick scans safe in production and invasive full scans, authenticated scanning (form, header/cookie, client-certificate, Selenium and AI-assisted login), OpenAPI/Postman/HAR API fuzzing, scheduling and pause/resume, and internal-scanning (ISM) and external-attack-surface (EASM) options. | ○Veracode advantage |
| Endpoint & API attack-surface discovery | Heeler enumerates every endpoint from source — REST, GraphQL, gRPC, SOAP, and WebSocket, plus the MCP tools/resources/prompts and Spring Boot actuator routes your code exposes — capturing each one's authentication posture and computing internet-accessibility from deployment topology, so your externally reachable, unauthenticated surface is inventoried with no runtime agents or traffic capture. | Veracode approaches attack surface dynamically: External Attack Surface Management (EASM) discovers internet-facing web apps across your IP ranges and known hosts from the outside in, and API scanning enumerates endpoints from an OpenAPI/Postman/HAR spec you supply for DAST. It doesn't derive a source-level endpoint inventory — every route and handler with its authentication posture and internet-accessibility from deployment topology — or cover GraphQL/gRPC/SOAP/WebSocket, MCP, and actuator interfaces from code. | ◐Heeler edge |
| Runtime-aware prioritization | Heeler Risk (Urgent / Plan / Defer) ranks SAST and SCA findings by real exposure. 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) AND not mitigated — fail any and it Defers, however high the CVSS. For SAST, exposure is path-driven from an internet-facing entry point, behind auth, touching sensitive data. Both are weighted by service tier and threat (KEV/EPSS; CWE class), with a per-finding SLO, re-scored continuously. | Veracode prioritizes with its policy engine (severity, CWE, CVSS, grace periods), a Fix First Analyzer that plots severity against ease-of-remediation, SCA EPSS and observed-exploit signals, and Risk Manager's “Best Next Action.” Runtime and internet-exposure aren't native inputs — the nearest signal is a “running containers” factor that Risk Manager correlates from ingested third-party data — so there's no deployment-topology, service-tier, or internet-exposure model driving priority. | ●Heeler advantage |
| Cloud, runtime & business context | Heeler builds its own model of where code runs across AWS, GCP, Azure, Kubernetes, and Vercel — containers, VMs, and serverless fingerprinted, each deployment mapped to the exact running changeset, internet-accessibility auto-detected, service tier (1–4) and prod/non-prod classified, service-to-service and identity edges resolved, and ownership resolved to the owning team (Tech Lead / Security Lead) — all read-only and sensor-less. This context is what makes exposure, prioritization, and routing real. | Not offered natively. Veracode Risk Manager is an ASPM layer that aggregates and correlates findings from other security tools across repositories, pipelines, IaC, and cloud infrastructure — it ingests their data rather than observing the cloud itself — and External Attack Surface Management adds outside-in perimeter discovery. There's no Veracode-built deployment-topology graph mapping running services to the code and changeset that produced them. | ●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 |
| SBOM & dependency inventory | A live dependency inventory (with OpenSSF hygiene scoring) 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. | Veracode generates CycloneDX 1.6, SPDX 2.3, and Syft-JSON SBOMs from source (the SCA agent) and from images, archives, and directories (Container Security), and can scan an SBOM as input. The SBOMs are static — there's no runtime SBOM of the services actually running. | ◐Heeler edge |
| Automated response workflows & routing | A standing when-this-then-that engine across the whole estate: one trigger (new finding, fix available, compromised dependency, new secret, at-risk agent file, SLO expiring, PR merged with unresolved guardrail violations) → AND-combined conditions → up to three chained actions that share context. Actions span messaging (Slack/Teams/Google Chat/email), ticketing (Jira/Linear/GitHub/Shortcut, de-duplicated), and domain actions (Fix with Heeler Agent, Update SLO Override, Generate SBOM, Webhook), routed to the owning team by RACI, with a plain-English builder. | Veracode routes findings through ticketing and issue-tracking integrations (Jira, Asana, GitHub/GitLab issues, DefectDojo, Faraday) and policy grace-period notifications. It's ticketing and alerting rather than a trigger → condition → action workflow engine — no RACI owner-resolution, and no fix-agent, SLO, or SBOM actions chained inside a workflow. | ◐Heeler edge |
| SLOs & runtime-verified closure | Every tracked finding under an SLO policy carries a per-band (Urgent / Plan / Defer) SLO clock; SLO-expiring events trigger workflows, and an Update SLO Override action can extend a due date automatically. Findings run Active → Fixed → Deployed, and closure is runtime-verified — a fix reaches Deployed only once every running deployment confirms the vulnerability is actually gone, not merely merged. | Veracode has no per-finding SLO model — only policy grace periods (per-severity/CVSS day counts) and required-scan-frequency windows — and closure is confirmed by rebuilding and re-scanning until the finding no longer appears, never by verifying the fix in a running deployment. | ●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. | Veracode supports Infrastructure-as-Code scanning in its platform and developer workflow integrations, including Terraform and cloud-configuration findings. | ✓Parity |
| 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 a runtime-native engine beats a build-first scanner portfolio.
Each maps back to the context engine — not another scanner in the portfolio.
01
Runtime and cloud context that's native, not aggregated from other tools
Veracode Risk Manager gives you a correlated, deduplicated view of risk — but by ingesting findings from other security tools across repos, pipelines, IaC, and cloud; it doesn't observe the cloud itself, and EASM only sees the perimeter from outside. Without those connected tools, prioritization is policy severity and CVSS. Heeler builds its own sensor-less model of where code runs — deployment-to-changeset mapping, service edges, service tier, ownership, and internet-accessibility — so exposure, prioritization, and routing are real out of the box.
02
Prioritize by runtime exposure, not policy severity and a correlated feed
Veracode ranks by policy severity/CVSS, ease-of-fix, SCA EPSS and observed-exploit, and Risk Manager's Best Next Action; its only runtime-flavored signal is a “running containers” factor correlated from ingested data. Heeler gates every dependency finding on reachable AND internet-exposed AND not-mitigated, and traces SAST exposure from a real internet-facing entry point — natively — so a live, exposed finding outranks a dormant one that looks identical on CVSS.
03
AI fixes proven in your CI, not compile-checked and handed off
Veracode Fix is a real AI-remediation product — ranked ML+RAG patches applied in the IDE/CLI or opened as a PR by its GitHub Action — but it covers Pipeline-Scan SAST only, does a best-effort compile check with no tests, and counts a flaw fixed “even if it breaks the build”; SCA fixes are a deterministic next-safe-version bump. Heeler builds every fix in a sandbox and repairs its own CI failures until green — for code and dependencies — before a human merges it, or opens a draft PR with an explanation.
04
Scan source without a build — and operate to a runtime-verified close
Veracode's static engine analyzes compiled binaries, so it needs a successful build and packaged artifact first, and its most complete SCA mode builds the project too; closure is confirmed by re-scanning. Heeler scans source directly with no build, and moves findings Active → Fixed → Deployed, closing only when the running deployment confirms the vulnerability is gone — with per-band SLO clocks that Veracode's grace-period policy doesn't provide.
05
Beyond detection: the agent, the attack surface, and the agent files
Heeler hands the coding agent live, runtime-aware context through an MCP server as it writes, discovers your full endpoint and API attack surface from source (REST/GraphQL/gRPC/SOAP/WebSocket/MCP, with auth posture and internet-accessibility), and governs the agent-instruction files that now steer your code — scoring CLAUDE.md / .mcp.json / skills 0–100 for malicious intent. Veracode offers IDE AI fixes and outside-in EASM, but no MCP server, no source-derived endpoint inventory, and no agent-file governance. Heeler runs the whole loop, sensor-less, at machine speed for the AI SDLC.
See Heeler on your codebase.
A demo runs Heeler against your real repos and cloud — detection across the surface, the runtime map, the prioritization, the validated remediation PRs, and the agent-file catalog. If Veracode is scanning your builds today, we'll show what native runtime context and a validated fix loop add on top.
