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Prevent Risk in Code
A Paved Path to Secure Code in the AI Development Era
A Multi-Layered Approach to Prevent Risk in Code
Guide Developers and AI Agents Toward Secure Code
Agent Skills
Heeler Skills provide structured instructions that enable AI coding agents to automatically run security checks, analyze dependencies, and identify potential risks as code is written.
Secure AI-Assisted Development
Agent skills instruct AI coding assistants to perform security checks while generating or modifying code.
Automated Security Workflows
Skills run structured workflows such as vulnerability scanning and dependency analysis.
Consistent Security Guidance
Each skill defines trigger commands, required context, and expected outputs.
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CLI & Pre-Commit Checks
The Heeler CLI runs security scans during development and pre-commit workflows so developers can detect and fix issues before code is pushed to the repository.
Stop Secrets Before They Are Committed
Pre-commit hooks scan staged code and block commits when credentials, API keys, or tokens are detected.
Identify Dependency Risk Early
Automatically analyze dependencies and surface vulnerabilities based on defined security policies.
Generate and Evaluate SBOMs
Create software bills of materials and assess dependency risk during local development or CI workflows.
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Pull Request Guardrails
Guardrails evaluate changes as code is proposed for merging, ensuring new dependencies and vulnerabilities meet security policies.
Policy Enforcement in Code Reviews
Security policies run automatically on pull requests and surface actionable feedback directly to developers.
Runtime-Aware Rules
Guardrails can incorporate runtime context such as application exposure or deployment environment.
Flexible Enforcement Options
Security teams can observe, warn, or block changes depending on policy severity, and have different behavior on different branches.
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Why Preventing Risk in Code Is Difficult
Modern development is fast, distributed, and increasingly AI-assisted. Without security integrated directly into coding workflows, vulnerabilities, secrets, and risky dependencies can easily be introduced into the codebase.
AI Coding Accelerates Risk Introduction
AI coding assistants can rapidly generate code and dependencies, increasing the likelihood of introducing insecure patterns or vulnerable packages.
Security Feedback Arrives Too Late
Traditional security tools often analyze code only during CI or post-merge stages, leaving developers unaware of issues while writing code.
Developers Lack Clear Security Guardrails
Pull request guardrails ensure new changes meet security standards before they are merged.
Benefits
Prevent Risk in Code
Secure AI-Assisted Development
Heeler ensures AI coding agents follow structured security workflows so secure practices are embedded during code creation.
Catch Issues Before They Enter the Codebase
Local CLI checks prevent secrets and vulnerable dependencies from being committed to repositories.
Enforce Security Policies During Code Review
High-performance, continuous scanning operates in real time across large repositories without slowing developers or security teams.
What experts are saying about us
"Heeler redefines AppSec with a secure-by-design approach, providing contextual insights to prioritize high-impact risks while seamlessly embedding security into developer workflows for resilient, continuous code protection."
“As innovation accelerates cloud and application complexity, Heeler’s ProductDNA provides a scalable and simplified approach to maintaining a holistic, real-time view of SDLC security and lineage with quickly actionable ownership, integrity, and security risk context.“
"Modern software development moves fast, forcing security and engineering teams to constantly reassess application threats. Heeler maps deployments back to source code in real-time creating a contextualized application model. With boundary awareness, Heeler detects material changes, like new APIs, and uses a groundbreaking prioritization model to focus teams on the most urgent, business-critical vulnerabilities."
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“Imagine having the precise DNA of every application in production, allowing you to instantly identify which systems are affected when new vulnerabilities emerge and eliminate false positives that waste valuable time. This visibility transforms security from a reactive fire-fighting exercise into a proactive risk management program.”
Explore our Use Cases
Build customer trust by shifting security left for faster, safer software delivery.
Who is Heeler built for?
Heeler is designed for CISOs, Application Security, Product Security, DevSecOps, and software developers seeking to integrate security into the development process. It offers insights that bridge security and development, helping all stakeholders make faster, risk-informed decisions for cloud-based applications.
Is Heeler suitable for companies of all sizes?
Heeler is ideal for companies of all sizes that run applications in public cloud environments. It’s particularly suited for organizations looking to integrate security into their development process without compromising speed or flexibility.
What environments and tech stacks does Heeler support?
Heeler is optimized for cloud-first environments and supports applications running on AWS, GCP and Azure, using source control management systems like GitHub or GitLab, and development languages like Python, Java, Go, JavaScript and TypeScript. Learn more about our integrations here.
