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Deterministic AppSec, Powered by Context
Remediation Platform for AppSec Risk
Heeler is purpose-built to remediate risk in code, combining AI-driven fixes, runtime threat modeling, and preventive guardrails into a single, streamlined solution.
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AppSec Context Engine
Heeler builds the context layer for modern software, powering deterministic AI that identifies, prioritizes, and fixes application security issues automatically.
Continuous Context
Heeler continuously collect deep, granular context across your software: how libraries are used, where artifacts are deployed, and which code paths actually run. This creates the connective tissue between code, dependencies, infrastructure, and teams.
Deterministic by Design
Heeler performs deterministic analysis on the deep software context it collects. AI is then used to execute within those guardrails, following strict guidance to generate precise, safe fixes.
AI Executes. Security Scales.
Once context and deterministic analysis define the right actions, AI executes them. Triage drops, backlogs shrink, and AppSec teams can scale to keep pace with AI-driven development.
Know the Risk. Fix the Problem. Prevent the Next One.
From Risk to Resolution
Heeler protects open source, code, and secrets by determining what’s fixable, what’s exploitable, how to remediate it, and enforcing guardrails that prevent new risk from entering your software.
Fixability: Designed for Developer Efficiency
Heeler identifies the safest remediation paths by analyzing how dependencies are used and the real impact of upgrades. Developers get clear guidance on what to change, which upgrades are safe, and where breaking changes may occur: turning hours of manual research into fast, confident fixes.
Exploitability: Powered by Runtime Threat Modeling
Heeler’s runtime threat modeling engine understands how software actually runs in production by connecting code to cloud deployments. By factoring in execution paths, service relationships, and business impact, security teams can focus on the vulnerabilities that represent real, exploitable risk.
Remediation: Automating Library Updates
Heeler generates validated pull requests that resolve vulnerabilities and dependency hygiene issues automatically. Deterministic analysis defines the correct fix, while AI executes the change, allowing teams to continuously reduce security debt without slowing development.
Guardrails: Protection from New Risk
Heeler enforces preventative guardrails across the development lifecycle: from pre-commit checks in the CLI to pull request enforcement in CI. Agent Skills guide AI coding agents to follow secure patterns and ensure code meets security standards from the start.
