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Security at machine speed.
Heeler is the security platform for the AI SDLC — where code is written, and exploited, faster than humans can review. One Context Engine, one policy model, every stage from code generation to runtime: Prevent risk before it lands, Fix what already exists, and Operate the response through to verified closure.
Neither code nor attacks move at human speed anymore.
AI agents generate dependencies, code, CI/CD workflows, and infrastructure continuously and in parallel — and vulnerabilities are now discovered and weaponized just as fast, with exploit windows measured in minutes. Traditional AppSec was built to scan a repository periodically. That model doesn't survive contact with either rate.
Heeler was built for the AI SDLC era. Six dimensions of context, connected once. Prevent, Fix, and Operate all run on a single shared model. Multi-SCM. Multi-cloud. SOC 2 Type II attested.
Heeler is built around a Context Engine — not a scanner with context bolted on.
Connect your repos, registries, and cloud. Heeler builds one shared model across code, cloud, business, ownership, threat, and agent context. Its detection engines, guardrails, prioritization, remediation, and workflows all read from that same model.
Agent
Every agent skill, MCP config, and policy in use across the environment — inventoried, scored, governed.
Code
Repos, modules, dependencies (direct + transitive + first-party + bundled), reachability, patterns, commit history.
Cloud
Live services, internet exposure, configuration, deployment state, service-to-service connections — sensor-less inventory.
Business
Service tier classification (Tier 1–4), application criticality, regulatory scope, environmental boundaries.
Ownership
Automated RACI matrix at application, repo, service, and dependency level — teams imported from Port, GitHub, GitLab, and other external sources, or inferred.
Threat
GHSA, OSV, NVD, CVSS v3/v4, EPSS, CISA-KEV, OSSF Scorecard, malicious-package feeds — continuously re-evaluated.
Three layers. One model.
Vulnerabilities are now found and weaponized at machine speed — the window between disclosure and exploit has collapsed from weeks to minutes. Human-speed review and ticket queues can't hold that line. Heeler runs three operational phases — Prevent, Fix, Operate — off one Context Engine, enforcing the same policy at every layer, at machine speed.
Prevention at every layer of the AI SDLC.
The same context — your policy, approved versions, service tier, and exposure — applied at the three points where risk is prevented: in the agent, at the keyboard, and on the pull request. Anything that gets past them flows into Autonomous Operations after merge.
At code generation, inside the agent.
At the keyboard, before commit.
At the pull request — native status checks before merge.
After merge — Operate takes over, always on.
One policy enforced at every point code moves.
Deterministic fixes, not tickets.
A suggested fix and a ticket don't scale when exploit windows are measured in minutes and agents open PRs all day. Heeler does the work: it prioritizes what matters, deterministically fixes both dependencies (SCA) and code (SAST), validates each in your CI, and opens a merge-ready PR. And it runs across the whole backlog — burning down inherited debt, not just the newest finding.
Everything gets fixed — not everything is urgent. Across dependency (SCA) and code (SAST) findings, Heeler Risk ranks by real exposure, not raw CVSS: is it internet-facing, loaded at runtime, reachable, and unmitigated? Business, environment, and threat weigh into Urgent / Plan / Defer, so the most dangerous fixes go first.
Calculate
The analysis a developer would lose hours to. For a dependency: the lowest version that clears the CVEs without adding new ones. For code: the precise fix that closes the flaw at its source. Computed from your graph, not guessed by a model.
Validate
The agent applies the fix and validates it — compilation, build, and your tests, all green in CI — repairing on red, or abstaining to a human.
Merge-ready
A merge-ready PR — impact, changes, validation, and CVEs fixed in the body. Human review by default; no auto-merge.
One risk score across SCA, SAST, secrets, and agent skills — weighing exposure, ownership, and business context so the right fixes go first.
Read more →The lowest dependency version that clears the CVEs without adding new ones — validated in CI, opened as a merge-ready PR.
Read more →The precise code change that closes the flaw at its source — computed from your graph, validated, and shipped as a reviewed PR.
Read more →The audit trail of every agent run — the plan it followed, the tools it called, the files it changed, and where each pull request stands.
Read more →Operate continuously. Close the loop.
Heeler-built engines for dependencies, code, secrets, agent skills, and CI/CD continuously re-evaluate risk across commits and running deployments. Autonomous Operations then routes, tickets, remediates, escalates, and tracks that work to closure — so findings are owned and resolved, not simply logged.
Reachability + vulnerable-function analysis, first-party correlation, compromised-package and license-policy detection.
In-memory, cross-function taint from source to sink — with API endpoint & auth analysis.
Terraform, OpenTofu, CloudFormation, Pulumi and Kubernetes definitions — each misconfiguration tied to the resource it provisions and scored by that resource's real exposure.
Real-time detection with active validation.
Inventory and scan agent instruction files.
Every action resolved and risk-scored, every workflow checked, privileged activity read from the audit log — mapped to the OWASP CI/CD Top 10.
A finding lands and the response fires itself — ticket opened in your tracker, owning team paged in Slack, SLO clock started, auto-fixable work handed to the Heeler agent as a validated PR. Twelve actions, six kinds, triggered by the finding. Nobody has to notice it first.
Ownership and routing come from the same model that found it.
ONE FINDING, END TO END · SCA
Every handoff is a week. Heeler has no handoffs.
One vulnerable dependency, from advisory to a fix confirmed running in production. The same six steps either way — run by four teams and a spreadsheet, or by one continuous system at machine speed.
Without Heeler
With Heeler — one continuous system
Detect
An advisory lands on a library you already ship. Someone has to notice it, then work out where it lives.
Detect
Already connected. The graph knows every service shipping it — direct or transitive.
Triage
Severity, reachability, runtime, exposure, business impact — reasoned through by hand. On every finding.
Triage
Triaged on arrival from the same evidence. Same inputs, same verdict, same audit trail.
Route
Open a ticket. Work out who owns the service. Set an SLO. Then chase it.
Route
Ticket opened, routed to the owning team, SLO attached — and escalated on its own.
Calculate
A developer reads release notes and changelogs to work out which version clears the CVEs — and what it breaks.
Calculate
Heeler computes it — not a model. The lowest version that clears every CVE, with constraint conflicts and breaking changes identified before a line is edited.
Fix + Validate
Cut a branch. Edit the manifest. Adapt the call sites. Build. Push. Wait on CI. Read the failure. Go again. Then open the PR.
Fix + Validate
The Heeler agent does the developer's work — cuts the branch, applies the change, adapts the call sites, builds and tests in a sandbox, runs your CI, repairs what fails, and opens the merge-ready PR. It remembers your build, so the next fix starts smarter.
Verify
Merged isn't deployed. Nobody can prove the risk is actually gone.
Verify
Confirmed against the running deployment. Not the merge.
Weeks
Four teams, five handoffs, and triage on every finding — whether or not it was ever exploitable.
Hours
No handoffs. Everything gets fixed — priority decides the order, not whether.
Consolidates work spread across three tool categories
Not another tool for your stack — the platform that retires three categories of them.
Integrates with
Where your code lives, runs, and ships — and the tools your teams work in.
AWS
GCP
Azure
Vercel
GitHub (incl. Enterprise Server)
GitLab (incl. self-managed)
Azure DevOps
Bitbucket (incl. Data Center)
GitHub Container & Package Registry
AWS ECR & CodeArtifact
GCP Artifact Registry
JFrog Artifactory
Harbor
Sonatype Nexus
Docker Hub
Jira
Linear
Shortcut
GitHub Issues
webhooks
Port
GitHub
GitLab
Slack
Microsoft Teams
Google Chat
Okta
Microsoft Entra ID
Ping
Auth0
Google Workspace
any SAML 2.0 provider
Claude Code
Cursor
GitHub Copilot
Windsurf
Codex
OpenCode
any MCP-compatible agent
Run Heeler across your AI SDLC.
A demo connects Heeler to your repos, your cloud, and your pipelines. You'll see the context engine assemble in minutes, then we walk through prioritization, remediation, and workflows across the whole AI SDLC — not just the code your team ships every day.