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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.
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.
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.
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
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
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.
| Section | ● Heeler advantage | ◐ Heeler edge | ✓ Parity | ◑ Cortex edge | ○ Cortex advantage |
|---|---|---|---|---|---|
| Code Security | 5 | 1 | 2 | 0 | 0 |
| Context, posture & workflows | 2 | 3 | 1 | 0 | 0 |
| Fix | 4 | 1 | 0 | 0 | 0 |
| Total | 11 | 5 | 3 | 0 | 0 |
| 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 | 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. | Cortex Cloud uses Checkov-powered Infrastructure-as-Code analysis across multiple formats, maps code to deployed cloud resources, supports custom policies, returns pull-request feedback and fixes, and can block builds. | ✓Parity |
| 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 |
| 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. | Cortex Cloud returns Infrastructure-as-Code findings and fixes in pull requests and can block builds using policy informed by deployed-resource context. | ✓Parity |
| Agent-file PR enforcement | 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 |
| 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 |
| 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. | Cortex Cloud and Prisma DSPM discover and classify sensitive data in cloud services and relate it to cloud-resource exposure and security posture. | ✓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 |
| 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 |
| 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 |
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.
