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AI writes the code. Heeler proves which flaws are real.
AI coding agents ship vulnerable code faster than any reviewer can catch it. Heeler analyzes that code as a graph — tracing tainted data across functions and files, from source to sink — to prove which flaws are real, supply the exact change to fix them, and map every API you expose. Real findings, not a wall of false positives.
AI writes the vulnerability. Your scanner cries wolf.
Legacy SAST pattern-matches one line at a time — so it floods you with false positives, misses anything that spans functions, and hands you a finding with no fix. When agents write most of the code, that noise buries the real risk.
False-positive firehose
Judging a line in isolation flags an injection that a sanitizer three functions away already made safe. Teams stop trusting the tool.
Blind to cross-function flows
Real vulnerabilities span functions and files. A single-file, pattern-matching scanner never sees the path.
Flags, doesn't fix
A finding without the fix is just another ticket. Someone still has to work out the safe change.
A Symbol Property Graph, not pattern matching.
Heeler builds your code into a graph — symbols, calls, and data flow — and traces tainted input across functions and files, from source to sink. That's what separates a real vulnerability from a line that only looks dangerous — and what makes the findings trustworthy, the fixes exact, and the guardrails quiet.
Multi-file, multi-function analysis
Heeler follows tainted data across function and file boundaries — the whole call path, not one line — catching flaws a single-file scanner never sees.
Auth guards & sanitizers, understood
Heeler recognizes authentication guards and framework-specific sanitization on the path — so a flow already made safe upstream never fires as a false positive.
Confidence, not guesswork
Every finding is scored across multiple signals; vendored and test code are down-weighted, so what surfaces is worth your time.
Straight to the fix
Heeler resolves the most direct exploit path and points at the one change that closes it — not a sprawl of duplicate alerts.
Every finding comes with the change to make.
Heeler doesn't stop at “you have SQL injection here.” It supplies the exact fix — parameterize this query, escape this output, allowlist this input — as a concrete before-and-after, sized to the smallest safe change.
Before and after
The vulnerable code and the corrected code, side by side — not a link to a generic advisory.
The right strategy
Parameterize, escape, or allowlist — Heeler picks the correct remediation for the sink and the language.
Proportional
Fixes are scoped to the smallest change that closes the flow — no rewrites you didn't ask for.
It maps every API you expose — and who can reach it.
Heeler reads your code, not your docs, to enumerate every endpoint and its security posture — tracing the call chain to see where authentication actually happens versus where the operation runs.
Endpoint enumeration
Every route and input vector, discovered from code — server handlers and client-side entry points alike.
Auth, traced across files
Heeler follows the handler chain to tell an authenticated endpoint from one that only looks protected.
Exposed management endpoints
Framework admin surfaces — an unauthenticated Spring Actuator heap dump, an open env endpoint — flagged before they leak.
CSRF & CORS
Missing CSRF protection and permissive, wildcard CORS policies are surfaced as first-class findings.
The most dangerous ones, first.
Heeler pairs each SAST finding with the running world: an injection in an internet-facing, unauthenticated service is Urgent; the same bug behind auth on an internal service can wait. Every SCA and SAST finding lands on one of three levels.
Urgent
Reachable and internet-exposed on a high-tier service, or actively exploited. Fix now.
Plan
Real risk, but not immediate — partial exposure or a lower-tier service. Schedule it.
Defer
Not currently exploitable — behind authentication, internal-only, or unreachable. Track it.
Fast enough to run on every pull request.
Heeler's SAST runs on the pull request, not just after merge — and because the analysis is incremental, the guardrail check comes back in seconds, not the minutes a full re-scan would take. It fits inside CI without slowing anyone down.
Sub-15-second PR scans
Incremental analysis re-checks only what changed, so it fits inside CI without slowing developers down.
Block, warn, or observe
PR guardrails gate net-new findings through your SCM's native checks — block the merge, warn, or silently observe — without failing on inherited debt.
Broad language coverage
Full interprocedural analysis across the languages your teams actually ship — not just surface-level parsing.
MCP SERVER ANALYSIS
The MCP servers your code exposes.
As agents become part of application architectures, the Model Context Protocol servers your own code exposes are a new attack surface — an internet-reachable MCP transport is an unauthenticated way to invoke your tools. Heeler finds every one in your codebase and tells you what it exposes and who can reach it.
Found by pattern, not by registry
Identified from SDK imports and framework patterns across the languages your teams build in. Nothing to annotate and nothing to register, so a server someone stood up last week is still in the inventory.
Every tool an agent can call
The functions you expose, with name and description — the concrete actions an agent is able to take against your systems.
Resources and prompts as well
The data sources an agent can read and the prompt templates it can invoke, catalogued alongside the tools — plus the SDK and protocol versions in use and the full set of advertised capabilities.
Transport decides exposure
stdio is a local process with no network. SSE and Streamable HTTP are network-exposed. Heeler reads the transport and classifies each server Local, Public, or both when it runs several at once.
Public means an open door
A Public MCP transport is an internet-reachable way to invoke your tools. It deserves the same scrutiny as any unauthenticated internet-facing endpoint — starting with whether anyone meant to expose it.
In your endpoint inventory, not beside it
MCP tools, prompts and resources appear as first-class method types in Endpoints, so you can filter to them and triage them next to your HTTP routes rather than in a separate AI dashboard.
Don't just find it — fix it.
Heeler turns its own SAST findings into validated, merge-ready pull requests — deterministic code fixes anchored to the taint path and proven in your build. Detection is only half the job.
Explore SAST Auto-fix →See what your agents are actually shipping.
A demo runs Heeler on your repos. In your first session you'll see the flaws in your AI-generated code that are real — each with the fix — and a map of the APIs you're exposing.
