heeler vs cortex cloud
Heeler vs Cortex Cloud Application Security
Heeler is a native, agentic AppSec engine built for the AI SDLC — one context engine that reasons across code, dependencies, runtime, and cloud as one model. Cortex Cloud extends a cloud-security platform into application security through a paid code add-on. Here's where Heeler advances, where the two are equivalent, and what the AI SDLC needs beyond code-to-cloud posture.
EXECUTIVE SUMMARY
Built for the AI SDLC, not bolted onto a cloud platform.
Heeler runs native SAST, SCA, secrets, agent-skill security, CI/CD analysis, supply-chain controls, PR guardrails, and runtime-aware risk on one context engine that reasons across code, dependencies, runtime, and cloud as one model — no tier upsell — and remediates to a CI-green, merge-ready PR. Cortex Cloud reasons from cloud posture down toward code: its base license is code-to-cloud ASPM, native SCA and secrets sit behind the paid Application Security add-on, and it has no native SAST at all (SAST needs a third-party integration). Prevent, Fix, and Operate are interfaces on one Heeler model.
THE FUNDAMENTAL DIFFERENCE
Heeler is one context engine — code and cloud, seamless. Cortex bolts code security onto a cloud platform.
Heeler was built as a single context engine that reasons across code, dependencies, runtime, and cloud as one model — no seams, no add-on tier. Cortex reaches into code from its CNAPP, sells code security as a paid add-on, and has no native SAST of its own.
CORTEX
Cloud-security platform + code add-on
CNAPP reaching down into code.
- →Reasons from cloud posture and runtime down toward code through a code-to-cloud chain
- →Native SCA and secrets in the paid Application Security add-on — but no native SAST (third-party required)
- →Fix-version recommendations and bump PRs; no CI-validated remediation loop
- →Code-to-cloud context depends on YOR tagging + pipeline mapping; no agent-context dimension
HEELER
Context-engine native, AI SDLC-built
Six dimensions of context, every layer.
- →Multi-SCM (GitHub, GitLab, Bitbucket, Azure DevOps) + multi-cloud (AWS, GCP, Azure)
- →SAST, SCA, secrets, agent skills, CI/CD, supply chain, CLI, PR guardrails, workflows — one engine
- →Context across code, cloud, business, ownership, threat, and agent dimensions
- →Prevent → Fix → Operate on one shared model
VERDICT FRAMEWORK
Side-by-side, with a verdict per row.
Five states. Heeler-leaning where Heeler advances; explicit when Cortex leads; honest about parity.
● Heeler advantage
Heeler delivers a capability Cortex 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.
◑ Cortex edge
Both deliver the capability. Cortex's implementation leads on a verifiable dimension.
○ Cortex advantage
Explicit signal that Cortex leads on this row.
Scorecard — 13 capabilities across 3 sections
| Section | ● Heeler advantage | ◐ Heeler edge | ✓ Parity | ◑ Cortex edge | ○ Cortex advantage |
|---|---|---|---|---|---|
| Code Security | 4 | 1 | 0 | 0 | 1 |
| Context, posture & workflows | 0 | 3 | 0 | 0 | 0 |
| Fix | 3 | 1 | 0 | 0 | 0 |
| Total | 7 | 5 | 0 | 0 | 1 |
| Capability | Heeler | Cortex Cloud | Verdict |
|---|---|---|---|
| 1. Code Security — the paid Cortex Application Security add-on | |||
| SAST (first-party code) | Native SAST — AST + symbol property graph, cross-file source-to-sink taint, call-graph reachability. | Per Palo Alto's docs, Cortex Cloud does not include a native SAST scanner — SAST requires a third-party integration (e.g. Snyk). | ●Heeler advantage |
| SCA (open source) | Build-emulation resolution — no lockfile required — producing a full dependency graph across direct, transitive, first-party, and bundled dependencies, and splicing GitHub Actions' own npm dependencies into that graph. Reachability, deterministic upgrade selection, fixability scoring. | Native SCA across 9 languages with reachability and EPSS/KEV — but transitive dependencies are analyzed only when lockfiles are present; otherwise direct-only. No dependency-graph modeling of CI/CD actions. | ●Heeler advantage |
| Secrets | Real-time, language-aware detection (20+ languages, 700+ rules) with active validation of whether a secret is live, across code and git commit history. PR guardrails scan every commit in the PR window in isolation — catching secrets added then removed before merge; fully offline CLI scanning; and prevention at AI-code-generation time. | Entropy + provider-signature detection with validation (incl. privilege) and git-history scanning; CLI/IDE detection; Urgency prioritization. PR/CI scanning works on the diff, and remediation is manual revoke/rotate guidance. | ◐Heeler edge |
| IaC misconfiguration & drift | Code- and dependency-centric today; native IaC misconfiguration scanning is on the roadmap, not in the product today. | IaC security is built on Cortex's Checkov/Bridgecrew heritage — scanning Terraform, CloudFormation, Kubernetes, Helm, Dockerfile, ARM, and Serverless templates for misconfigurations, with drift detection against deployed cloud state and template-to-resource traceability (Yor tagging). | ○Cortex advantage |
| Remediation | Agentic remediation that makes the actual change — the dependency upgrade plus required first-party code edits (SCA), or a deterministic before/after code transform (SAST) — then runs it through your CI in an iterative loop, fixing its own build/test failures until green, and opens a merge-ready PR. Both SCA and SAST. | Fix-version recommendations / bump PRs for CVEs and Smart Fixes for IaC misconfig; manual guidance elsewhere; CI/CD-risk fixes manual-only; no SAST remediation (no native SAST). No CI-validation loop. | ●Heeler advantage |
| AI-SDLC & agent security | Agent-skill catalog + per-skill risk scoring (CLAUDE.md / AGENTS.md / skills); MCP enforcement; secures AI-generated code. | Cortex MCP server + Agentic Assistant, and governs AI code assistants as supply-chain tools — but no per-skill security scanning. | ●Heeler advantage |
| 2. Context, posture & workflows — the ASPM layer (Cortex base license) | |||
| Unified context engine | Automatically assembles six dimensions of context — code, cloud/runtime, business criticality, ownership, threat intel, and agent — into one model, with no tagging to set up. | Assembles code-to-cloud, business (applications), ownership (identity attribution), and threat context — but the code-to-cloud chain depends on YOR tagging + pipeline + IaC project mapping, and there is no agent-context dimension. | ◐Heeler edge |
| Posture, prioritization & reachability | Ranks by reachability + runtime exposure + business tier, recomputed continuously. Exposure and deployment are auto-detected (sensor-less) — accurate prioritization works on day one. | Comparable signals on paper — but deployment-aware Urgency (Is Deployed, Internet Exposed, Affected Assets) requires the full code-to-cloud chain. Without it, those signals read "Not Applicable" and prioritization falls back to scanner-only data. | ◐Heeler edge |
| Workflows & orchestration | Always-on event workflows with autonomous remediation in-loop; SLOs that close only on a runtime-verified fix; plain-English guardrails; no playbook/engine to build. | Command Center funnel, Cases, SLA/MTTR, AI-recommended guardrails, XSOAR playbooks + automation rules. Broad but generic; SLA closes on fix, not runtime-verified. | ◐Heeler edge |
| Fix · resolve findings — code and dependencies | |||
| Deterministic upgrade selection | Heeler (not the agent) picks the upgrade using dependency graph + changelog intelligence + breaking-change detection + reachability of called library methods. Walks all code paths. | Cortex Cloud computes dependency-upgrade recommendations — the smallest update that fixes vulnerabilities in direct and transitive dependencies, with granular per-package version selection and batch fixes. These are recommended version bumps; Cortex documents no deterministic solve that is compiled and test-validated to green before delivery. | ◐Heeler edge |
| Fixability scoring | Every SCA remediation scored Easy / Medium / Hard via breaking-change analysis; Auto-Fixable label for end-to-end agent execution; Remediation Workbench surfaces environment-wide distribution. | No Cortex Cloud documentation describes a fixability or fix-effort score, or an explicit auto-fixable grade. Cortex prioritizes by exploitability and business impact and offers fix suggestions where available, but publishes no metric grading how fixable an issue is. | ●Heeler advantage |
| End-to-end SCA autofix | Engineering teams receive a solution, not a ticket describing a problem — for SCA, end-to-end • Agent creates branch, opens PR, performs upgrade, makes required code changes, validates through CI iteratively, produces a ready-to-merge PR • Validation: compilation testing for compiled languages (Java, Go, C#), sandbox execution for interpreted languages (Python, JavaScript) • CI loop: if a check fails, agent identifies issue, corrects it, pushes fix, re-runs — until lint, unit tests, and integration tests pass • PR ties back to originating Jira ticket and documents dependency changes, validation results, every vulnerability remediated • Every step visible and auditable in the Agent Executions log | Cortex Cloud can open pull requests for dependency fixes — recommended minimal versions, batched via a fix cart, and a Cortex Cloud 2.0 AppSec AI Agent that opens PRs autonomously. It does not document building the project and running your test suite to green before the dependency-fix PR opens. | ●Heeler advantage |
| SAST autofix | SAST Auto-fix ships deterministic, validated code-fix PRs — GA. Full taint-flow context (sources, sinks, propagators, sanitizers); a strategy-matched code transform computed from the flaw, built and run through your CI, and opened as a merge-ready PR. Human review; no auto-merge. | Cortex Cloud documents no generated code fixes for SAST findings. Its Smart Fixes are scoped to IaC misconfigurations, and ingested third-party SAST findings receive remediation guidance rather than applied code fixes. | ●Heeler advantage |
WHERE HEELER ADVANCES
Six places the AI SDLC needs more than a cloud-security add-on.
Every one of these maps back to the context engine — not features bolted onto a scanner.
- Native first-party SAST
Cortex Cloud ships no native SAST scanner — it points you to a third-party tool (e.g. Snyk). Heeler's SAST is first-party: AST + symbol property graph, cross-file source-to-sink taint, and call-graph reachability, on the same engine as everything else.
- No-lockfile SCA, CI/CD included
Heeler resolves a full dependency graph by build-emulation — no lockfile required — across direct, transitive, first-party, and bundled dependencies, and even models GitHub Actions' own npm dependencies. Cortex analyzes transitive dependencies only when lockfiles are present, and doesn't graph CI/CD actions.
- Remediation that ships, not suggests
Heeler makes the actual change — dependency upgrade plus first-party code edits (SCA), or a deterministic code transform (SAST) — runs it through your CI until green, and opens a merge-ready PR. Cortex offers fix recommendations and bump PRs, has no SAST remediation, and no CI-validation loop.
- Catches novel malware by behavior
Native behavioral SAST flags uncatalogued malware by technique — C2 calls, suspicious postinstall hooks, anti-forensics — even before an advisory exists. Cortex's malicious-package detection is advisory/feed-based, or relies on whatever third-party SAST tool is ingested.
- Agent-skill security
Inventory every skill your AI agents load (skills.md, CLAUDE.md, AGENTS.md), detect external binaries, shell commands, secrets, and outbound calls, and score per-skill risk. Cortex governs AI assistants as supply-chain tools but does no per-skill security scanning.
- Install-time supply-chain guardrails
Unpinned-dependency and minimum-release-age guardrails at PR time, plus install-time cooldown enforcement across 7 ecosystems (npm, pnpm, Yarn, Bun, uv, pip, Deno) — blocking on laptops and in CI before a PR exists. Cortex documents pipeline/config checks, not install-time package cooldown.
See Heeler across your AI SDLC.
Heeler secures the whole AI SDLC — not just code. A demo runs it against your real repos, dependencies, and cloud, then walks through how prioritization, remediation, and workflows come together. Side-by-side with Cortex Cloud, if useful.