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Your agents write the code. Heeler makes it safe to ship.
AI coding agents now write and merge code faster than any review can keep up — pulling in dependencies, generating config, and opening PRs at machine speed. Heeler secures what they produce: it finds the vulnerabilities and secrets that are actually exploitable, blocks the risky changes at the pull request, and ships the deterministic fix — so speed doesn't cost you security.
AI writes faster than AppSec can review.
The old model — scan, triage a backlog, file tickets — assumed humans set the pace. Agents broke that assumption. By the time a finding reaches a queue, ten more PRs have merged. Security has to run at the speed the code is written.
Volume no team can triage
Agents generate more code, more dependencies, and more pull requests than any human reviewer — the backlog only compounds.
New classes of risk
Hardcoded secrets, hallucinated packages, and insecure patterns land in generated code no person ever stopped to second-guess.
Speed is the point
Slowing agents down to review by hand defeats the reason you adopted them. The check has to be automatic and instant.
Real risk, not a wall of alerts.
Heeler reads AI-written code the way an attacker would — tracing data across functions and files, checking what's reachable and deployed — so you see the flaws that are genuinely exploitable, not a scanner's raw output.
Exploitable, not theoretical
Reachability and runtime context filter findings down to the ones that can actually be reached and run — the rest drop in priority.
Across functions and files
Interprocedural analysis follows tainted data through the whole call path, catching flaws a single-file scanner misses.
Secrets, proven live
Leaked credentials are validated against the real provider — you chase the keys that still work, not dead strings.
Dependencies that matter
Vulnerable and malicious packages are flagged when they're reachable and running, with the safe version to move to.
Caught at the pull request — and before.
The cheapest fix is the one that never merges. Heeler runs where agents work: at the keyboard, and again at the pull request, on your SCM's native checks.
PR guardrails
Block, warn, or observe net-new vulnerabilities, secrets, and risky dependencies at the pull request — without failing on inherited debt.
At the keyboard
The same checks run in the terminal and pre-commit, so the agent and the developer catch issues before a commit is ever made.
Before code is written
The skills and configs your agents run are vetted too — so the agent itself isn't the thing introducing risk.
Ship the fix, not the ticket.
Finding the problem is table stakes. Heeler computes the deterministic remediation, validates it, and opens the merge-ready pull request — so risk goes down, not just onto a list.
Deterministic remediation
The exact upgrade or change is computed and compile-checked, not guessed — a fix you can trust to merge.
Merge-ready PRs
Fixes arrive as pull requests routed to the owning team, not as tickets that sit in a queue.
Burns down the backlog
Existing debt is grouped and remediated alongside the net-new — the pile actually shrinks.
See what your agents are really shipping.
A demo runs Heeler across your repos — the exploitable flaws, live secrets, and risky dependencies your AI agents introduced, each with the fix.
