Heeler is the security platform for AI-generated code. One context engine. One policy model. Every stage from code generation to runtime. Prevent risk from entering the codebase. Fix what already exists. Audit continuously.
AI coding agents are generating dependencies, SAST patterns, CI/CD workflows, and infrastructure definitions — continuously, in parallel, at the speed of generation. Traditional AppSec tools were built to scan a repository periodically. That model doesn't survive contact with this rate of code production.
Heeler was built for the AI SDLC era. Six dimensions of context, connected once. Prevent, Fix, and Audit operating on a single shared model. Multi-SCM. Multi-cloud. SOC 2 certified.
Connect your repos, registries, and cloud. Heeler automatically builds the context that makes every fix deterministic, every guardrail precise, every workflow automatic.
Every agent skill, MCP config, and policy in use across the environment — inventoried, scored, governed.
Repos, modules, dependencies (direct + transitive + first-party + bundled), reachability, patterns, commit history.
Live services, internet exposure, configuration, deployment state, service-to-service connections — sensor-less inventory.
Service tier classification (Tier 1–4), application criticality, regulatory scope, environmental boundaries.
Automated RACI matrix at application, repo, service, and dependency level — imported from Backstage, Port, JIRA, GitHub Teams.
GHSA, OSV, NVD, CVSS v3/v4, EPSS, CISA-KEV, OSSF Scorecard, malicious-package feeds — continuously re-evaluated.
The platform is organized around three operational phases, all reading from the same context engine. The same policy at every layer — no per-tool re-authoring.
Four enforcement points, one policy.
Heeler picks. The agent executes. CI validates.
Risk recomputed as the world changes — not at scan time.
License policy, dependency versions in use, security checks, and tier model — evaluated at code generation, pre-commit, pull request, and post-merge. The same model. No per-tool re-authoring. Enforcement is consistent whether code was written by a human or generated by an agent.
Security skills auto-load into Claude Code, Cursor, GitHub Copilot, Codex, OpenCode, and VS Code. Heeler's MCP server exposes context, policy, and remediation to agents. Risk gets prevented before insecure code exists.
MCP & Agent Skills →Unified CLI for SCA, SAST, secrets, malicious-package detection, and license compliance. Same engine and policy as the platform. Secret scanning runs offline. Auto-install pre-commit hook.
CLI →Block / Warn / Observe with plain-English rule authoring. Multi-SCM. Diff-only on net-new violations — developers aren't penalized for inherited debt. Fix Now button triggers a validated remediation PR.
PR Guardrails →Always-on event-driven workflows catch anything that bypasses earlier layers. Triggers on new findings, new CVEs, compromised dependencies. Throughput scales with code-generation velocity, not developer review.
Workflows →Most platforms hand you a finding and a suggested fix. Heeler does the analysis, makes the call, opens the PR with validation evidence attached. The agent is execution, not decision-making.
Heeler analyzes the dependency graph, changelog intelligence, breaking-change detection, and reachability of called library methods — then selects the version that resolves the most risk with the least disruption. Not the latest. Not the nearest neighbor. The right one.
Every fix runs in a sandboxed environment with the project's tests. CI iterates until it passes. PRs ship with validation evidence attached — reviewers see what Heeler ran and what passed, not a guess about whether the suggestion will work.
Every remediation tagged Easy, Medium, or Hard via breaking-change analysis. Auto-Fixable remediations marked clearly — candidates the platform takes end-to-end with no developer involvement. Remediation Workbench shows fixability distribution across the entire environment.
Heeler Risk (Urgent / Plan / Defer) recomputes continuously as code, runtime, and threat data change — reachability, internet exposure, downstream service criticality, exploit maturity, and built-in mitigation checks all factor in. SLOs start at detection and close only when resolution is verified at runtime, not at PR merge.
Build-emulation dependency resolution. Reachability-aware. Compromised dependency detection with behavioral-SAST backstop.
SCA →AST + Symbol Property Graph. Cross-function source-to-sink taint analysis with endpoint exposure correlation before surfacing.
SAST →Real-time, language-aware detection with active validation against live APIs and databases. Surface exploitable, not pattern matches.
Secrets →Inventory every agent skill file (skills.md, CLAUDE.md, AGENTS.md). Detect external binaries, shell commands, secrets, outbound calls. Score per-skill risk.
Agent Skills →Score every signal against actual exposure, not theoretical CVSS. Runtime + ownership + business + threat — the full model behind every score.
Prioritization →Heeler is not another tool to bolt onto your stack. It replaces the SCA, SAST, and Secrets tools you already pay for — and connects to the SCMs, clouds, ticketing systems, and agents you already run.
Heeler takes over the work, not a slice of it.
Where your code lives, runs, and ships.
Built for engineering organizations running real software, not pilots.
SCMs
GitHub · GitLab · Bitbucket · Azure DevOps
Clouds
AWS · GCP · Azure
Languages
Python, JS/TS, Java, Kotlin, Go, Rust, C/C++, C#, Ruby, PHP, Scala
Developer sweet spot
(scales well beyond)
Certified
Trust Center at trust.heeler.com
A demo connects Heeler to your repos and your cloud. You'll see the context engine assemble in minutes, then we walk through prioritization, remediation, and workflows on code your team ships every day.