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Heeler in production.
Concrete jobs Heeler does for AI-forward security teams — from generation-time governance through PR enforcement, automated remediation, and continuous audit across the AI SDLC.
What teams actually do with Heeler.
Eight production use cases across Prevent, Fix, and Audit — each backed by a dedicated capability page with the technical details.
PREVENT
Govern AI-generated code at the moment of generation
Embed Heeler into Claude Code, Cursor, Copilot, and other coding agents — so policies and security context arrive at generation time, not as a post-hoc ticket.
MCP & Agent Skills →USE CASE 02Enforce policy at the pull request
Block, Warn, and Observe guardrails on every PR. Test new policies in Observe before enforcing, block what should never merge, route warnings to the right reviewer.
PR Guardrails →FIX
Burn the backlog down automatically
Heeler picks the safest upgrade path, validates the fix in a sandbox, runs CI, and opens a merge-ready PR. No manual triage; no review-cycle waste on broken patches.
Deterministic Agentic Remediation →USE CASE 04React to emerging CVEs in minutes
The moment new CVE research lands, Workflows match it against your dependency graph and runtime exposure — and ship a validated remediation PR before the advisory hits Slack.
Workflows →AUDIT
Open Source Security (SCA) with reachability
Fix-first SCA against your real reachability and runtime exposure — not transitive lockfile noise that no human is going to triage.
SCA →USE CASE 06Code Security (SAST) with runtime correlation
Static analysis correlated with runtime services and internet exposure, so teams prioritize the patterns that actually ship to production.
SAST →USE CASE 07Secrets Detection & Validation
Real-time, language-aware secret detection with active validation. Focus on exploitable live credentials, not scanner noise.
Secrets Detection →USE CASE 08Secure the AI agent supply chain
Scan MCP servers, agent skill files, and fetched documentation for prompt injection and malicious instructions before agents act on them.
Agent Skills Security →See your team's use case run on your repos.
A demo on your codebase shows exactly what Heeler would catch — and fix — across whichever jobs matter most to your team.
