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Imagine a World Where Upgrading Is Easier Than Deferring
Deterministic Remediation, Verified Fixes
Fix First
AI-coding assists. Agents guess. Heeler fixes for you.
Deterministic remediation intelligence.
Heeler performs deterministic analysis so you know what’s safe, what’s risky, and what to do next.
Precise dependency intelligence
Heeler builds a complete dependency graph per project, including direct, transitive, first-party, and bundled dependencies.
Targeted remediation recommendations
Rather than “update to latest,” Heeler identifies the specific version that delivers the highest security impact with the least development effort.
Built-in breaking change detection
Every recommended fix is evaluated for downstream impact using dependency graph analysis, surfacing breaking changes before remediation begins.
AI-driven fixes, grounded in deterministic analysis.
Heeler works like an extra engineer on your team, doing the labor for the developer and scaling security.
70–80% of upgrades handled automatically
AI coding tools and LLM agents still need context, feedback, oversight, and review, shifting work instead of removing it.
Deterministic, repeatable and centralized upgrades
AI coding tools and LLM agents still need context, feedback, oversight, and review, shifting work instead of removing it.
Generates validated PRs for upgrades
Developers remain in control, with production-ready PRs that document every change and test performed.
AI automation you can trust.
Turn dependency management into a continuous, low-friction process.
Abstains when uncertain, only delivers verified, trustworthy code
Heeler starts with deterministic analysis and only asks an agent to act when outcomes are predictable.
Validates every upgrade
If an upgrade or code change introduces a compilation error or test failure, the agent detects the issue, corrects it, and re-validates.
Only merge-ready PRs
Developers stay in control with transparent pull requests that document every fix, change, and validation step.
Why Fix First?
Prioritization-first feels efficient, but it quietly increases risk and long-term engineering cost.
False efficiency
Prioritization "shrinks" the backlog but increases technical debt and increases the cost and disruption of future security issues.
Compounding debt
While teams debate priority, dependencies age, upgrades get harder, and vulnerabilities require larger, riskier jumps to fix later.
Backport trap
Backporting avoids short-term pain but locks teams into outdated, nonstandard libraries that increase drift, maintenance burden, and future risk.
Benefits
Why Heeler Auto-Remediation Is More Than “AI Fixing Code”
Context First
AI alone guesses; Heeler builds a complete, accurate dependency graph to determine fixability, impact, and the safest upgrade path before any change is made.
Deterministic, Not Probabilistic
Heeler answers remediation questions consistently and audibly using deterministic analysis, with the LLM operating inside a governed, repeatable system.
From Backlogs to Measurable Risk Reduction
Lower the cost of remediation so fixing happens immediately, eliminating deferred prioritization and reducing risk as work progresses.
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.
