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Heeler vs Mobb.
Agentic Development Security — an end-to-end platform that prevents, fixes, and operates, modeled around the service — versus an automatic-remediation layer. This isn't feature-for-feature; it's a category difference.
An end-to-end platform, or a fix layer.
Mobb is an automatic-remediation layer for SAST findings — it ingests findings from a commercial scanner (or its bundled open-source Opengrep) and generates trustworthy, developer-reviewed code fixes. It does that one step well, and only for SAST.
Heeler was built for the AI SDLC, modeled around the service. It runs the whole loop — Prevent, Fix, Operate — across SAST, SCA, secrets, supply chain, and agent files on one context engine, with its own detection, runtime-aware prioritization, and remediation built and repaired in your CI until green.
The short version: this isn't feature-for-feature, it's a category difference. Mobb fixes what a separate scanner found, for SAST. Heeler detects, prioritizes, fixes-and-proves, and operates to a runtime-verified close across the whole surface.
Run the whole loop, or fix what a scanner found.
Heeler owns 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. Mobb takes SAST findings (from a commercial scanner you run separately, or its bundled open-source Opengrep) and generates trustworthy code fixes — it does that one step well, and only for SAST. Scope here is code security.
Automatic remediation for SAST findings
Take findings, generate trustworthy code fixes.
- →Ingests SAST findings from Checkmarx, Fortify, CodeQL, Snyk, SonarQube, Semgrep/Opengrep, Polaris, Datadog — or scans with bundled open-source Opengrep
- →Hybrid deterministic + GenAI fixes, with explanations, PowerUps, and developer-reviewed PRs / bulk commits / .diff
- →Vibe Shield fixes AI-generated code in the IDE (MCP); Tracy tracks AI-authored lines; strong false-positive filtering
- →SAST-only — no SCA, secrets, container, IaC, cloud/runtime, prioritization, SBOM, PR-gating, or workflow/SLO; validation is heuristic + SAST re-scan, not a build
Context-engine native, service-modeled
Prevent, Fix, and Operate on one model.
- →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), secrets — no second scanner required
- →Prioritizes by runtime reachability and internet exposure; guardrails gate new risk; 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
Side-by-side, with a verdict per row.
Four states. Heeler-leaning where Heeler advances; explicit where Mobb leads; honest about parity.
Heeler advantage
Heeler delivers a capability Mobb 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.
Mobb advantage
Explicit signal that Mobb leads on this row.
Scorecard — 16 capabilities, scoped to code security
| Section | ● Heeler advantage | ◐ Heeler edge | ✓ Parity | ○ Mobb advantage |
|---|---|---|---|---|
| Prevent | 4 | 0 | 0 | 0 |
| Fix | 2 | 0 | 1 | 0 |
| Operate | 7 | 2 | 0 | 0 |
| Total | 13 | 2 | 1 | 0 |
| Capability | Heeler | Mobb | Verdict |
|---|---|---|---|
| Prevent · stop risk from entering the codebase | |||
| Security at AI code generation | Heeler's MCP server + auto-loaded Agent Skills secure code as the agent writes it — across the full surface: SAST weaknesses, secrets, vulnerable and compromised dependencies, and license and minimum-package-age policy — injecting org-specific context to steer secure generation. | Mobb Vibe Shield scans and fixes the agent's generated code in the IDE via MCP — SAST only. | ● Heeler advantage |
| CLI / local developer scanning | The Heeler CLI runs local scans across the full surface — SAST, SCA, and secrets (secrets validation works offline) — for shift-left use pre-commit or in any pipeline. | The Mobb CLI ('Bugsy') scans with bundled Opengrep and generates fixes locally or in a pipeline — SAST only. | ● Heeler advantage |
| PR guardrails & policy enforcement | Block / Warn / Observe guardrails gate pull requests on new SAST, SCA, secrets, and SLO violations — plain-English, runtime-scoped, native status checks across GitHub, GitLab, Bitbucket, and Azure DevOps — with an in-PR validated fix. | Not offered. | ● Heeler advantage |
| Software supply-chain prevention (deps) | Malicious/compromised-package blocking, typosquat detection, minimum-package-age cooldown, unpinned-dependency and unpinned-Action detection, dependency-hygiene scoring, and posture validation across ecosystems — enforced at the PR and continuously re-evaluated. | Not offered. | ● Heeler advantage |
| Fix · solutions, not tickets | |||
| 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, with human review. | A strong SAST fixer — a hybrid of deterministic rules ('Stable') and GenAI ('Adaptive'), with fix explanations, PowerUps (one fix clearing many findings), and developer-reviewed PRs. A genuine peer at generating a SAST code fix. | ✓ Parity |
| SCA autofix | Deterministic upgrade selection across 14 ecosystems — the lowest version that clears the CVEs and adds none; for transitive vulns, the smallest first-party ancestor bump that resolves the closure — applied and validated through the CI-repair loop. | Not offered. | ● Heeler advantage |
| Validated, merge-ready fixes (build + CI repair) | Every fix is built in an isolated sandbox before the PR exists; then Heeler listens for CI results and repairs its own build/test failures with up to five follow-up commits, or hands off. The PR ships with proof it builds — human review, no auto-merge. | Mobb validates a fix with heuristics and by confirming the SAST tool no longer flags it on re-scan — it does not compile the project, run tests, or repair a failing CI pipeline. | ● Heeler advantage |
| Operate · continuous evaluation and automated response | |||
| SAST detection | Path-aware, interprocedural source-to-sink taint analysis across functions and files, from Heeler's own engine, with rules adapted per codebase and automatic triage. 20 languages. | Mobb can scan on its own only via bundled Opengrep — commodity open-source SAST, not a first-party engine — and is built to consume a separate scanner's findings. | ◐ Heeler edge |
| SCA detection | Build-emulation SCA across 14 ecosystems (no lockfile, no build required) — direct, transitive, first-party, and bundled dependencies, plus GitHub Actions as a first-class ecosystem. | Not offered. | ● Heeler advantage |
| Secrets detection & validation | First-class secrets: full git-history scanning with commit attribution, live/active validation via per-provider parsers, scheduled re-validation, rule- and entropy-based, offline in the CLI. | Not offered. | ● Heeler advantage |
| Agent-file detection & governance | A dedicated inventory scores every agent instruction/skill/MCP-config file (CLAUDE.md, AGENTS.md, .cursor/agents, .mcp.json) 0–100 across Static, LLM-intent, and External-reference risk, with a Malicious / Suspicious / Benign verdict, across Claude, Cursor, Gemini, Codex, and OpenCode. | Not offered. | ● Heeler advantage |
| Triage & false-positive reduction | Automatic triage folds in reachability and runtime exposure to suppress unreachable and low-impact findings and surface exploitable ones — across SAST, SCA, secrets, and agent-file findings — before you ever see them; false-positive and mitigation verdicts persist across scans. | Deterministic false-positive rules reliably flag non-vulnerable instances across supported scanners — but SAST only, and by pattern rather than runtime context; it cuts SAST triage toil, it doesn't prioritize. | ◐ Heeler edge |
| Runtime-aware prioritization | Heeler Risk (Urgent / Plan / Defer) ranks every finding — SAST, SCA, secrets, and agent-file alike — by whether it's reachable, deployed, and internet-facing, weighted by service tier and threat, with a per-finding SLO. | Not offered. | ● 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 deployment topology, sensor-less. | Not offered. | ● Heeler advantage |
| SBOM & dependency inventory | A live dependency inventory and CycloneDX SBOMs at five scopes — a global SBOM across your whole environment, application, repository, and runtime SBOMs per running service and deployment. | Not offered. | ● Heeler advantage |
| Lifecycle, workflows & SLOs (operate the program) | Findings run Active → Fixed → Deployed with runtime-verified closure, 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. | Not offered. | ● Heeler advantage |
Where an end-to-end platform beats a fix layer.
Every one of these maps back to the context engine — not features bolted onto a scanner.
One platform, at machine speed for the AI SDLC
AI writes code faster than any review process can keep up. Heeler runs the whole loop — prevent, detect, prioritize, fix-and-prove, operate to verified closure — continuously and at machine speed on one context engine, so security keeps pace with the volume of AI-generated code. Mobb does one step of that loop, SAST fixing, on findings another tool produced.
One product, not two
Heeler detects and fixes on one platform, from its own SAST, SCA, and secrets engines. Mobb can't produce findings worth fixing on its own — its bundled scanner is commodity open-source Opengrep — so in practice you buy and run a separate commercial scanner to feed it. That's two products, two bills, and still SAST-only coverage.
The whole surface, not just SAST
Heeler prevents, detects, and fixes across SAST, SCA, secrets, licenses, minimum-package-age, and compromised dependencies, plus CI/CD supply chain and agent files — and models cloud/runtime. Mobb is SAST-only; everything else is out of scope.
Fixes proven in CI, not just re-scanned
Heeler builds every fix in an isolated sandbox and repairs its own CI failures until green — for code and dependencies. Mobb validates by heuristics and a SAST re-scan; it never compiles or tests the change, so a fix that re-scans clean can still break your build.
Prioritize before you fix — across every finding type
Heeler ranks SAST, SCA, secrets, and agent-file findings by what's actually reachable, deployed, and internet-facing, so effort lands where it matters. Mobb filters false positives well, but fixes what it's handed without runtime-aware prioritization.
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, the runtime map, prioritization, validated remediation PRs, and the agent-file catalog. If Mobb is remediating one scanner's SAST backlog today, we can show the rest of the loop around it.
