Machine-speed security for AI-written code.
Agents write the code. AI attackers weaponize the flaws.
Heeler autonomously operates AppSec across every layer of the AI SDLC — preventing risk, deterministically fixing vulnerabilities, and orchestrating response without human bottlenecks.

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Agents write the code. AI attackers weaponize the flaws.
Agents generate code faster than humans can review it.
More code. Less scrutiny. More exploitable paths.
Codex. Cursor. Claude Code. Copilot. Custom models.
Different defaults. Different behaviors. No consistent posture.
Agents execute external skills and MCP servers with implicit trust.
Compromised instructions become compromised software.
Supply chain. Code security. Secrets.
AI attackers discover and exploit them in minutes.
AppSec programs have to prevent, fix, and operate at machine speed — and you need context to do this.
Context, turned into action.
Connect your repos, registries, and cloud. Heeler builds one shared model across code, cloud, business, ownership, threat, and agent context — so every fix, guardrail, and workflow acts on the same reality.
Skills, MCP configs, policies
Repos, modules, dependencies, reachability, patterns, commit history
Live services, exposure, configuration, deployment state, threat modeling
Service criticality, compliance scope, risk tolerance
Team mapping down to dependency level
Vulnerability research, CVE feeds, exploit availability
No sensors. No tagging. No build modification.
Three layers. One continuous system.
Prevent
Heeler embeds directly into coding agents through MCP and agent skills to enforce policies and steer secure code generation before insecure code exists.
This prevents compromised dependencies, unsafe upgrades, and non-compliant code from ever reaching developers or CI.
Fix
Heeler burns down the backlog and responds the moment new CVE research is published.
It delivers deterministic fixes for both SCA (dependency upgrades) and SAST findings — each one proven end-to-end in your build and CI, then delivered as a validated, merge-ready PR.
Guardrail Auto-fix
A validated fix offered on the pull request itself, for both dependency and code findings — accepted without leaving the review.
Agent Executions
Every agent run recorded — the plan, the tools it ran, the files it changed, and where its pull request stands. An audit trail, not a status page.
Operate
Heeler's own engines cover every signal that matters — dependencies, code, infrastructure definitions, secrets, agent files and your CI/CD supply chain. One graph, one policy, re-scored continuously as your environment changes.
Ownership, SLOs, tickets, exceptions and verified closure run on their own. Nobody triages a queue. Nobody chases a team.
Infrastructure as Code (IaC)
Terraform, OpenTofu, CloudFormation, Pulumi and Kubernetes definitions — every misconfiguration tied to the resource it provisions and ranked by that resource's real exposure, before anything is stood up.
CI/CD Security
Mapped to the OWASP Top 10 CI/CD risks — every action resolved and risk-scored, every workflow checked, privileged activity read from the audit log.
Words don't do it justice. Let's show you.
Book a demoConsolidates work spread across three tool categories
One platform for contextual detection, deterministic remediation, and AppSec operations — instead of stitching the workflow together across separate tools.
The outcomes teams see.
reduction in compromised-dependency risk
not weeks — CVE to fix in prod
of AI-picked risk blocked at code generation