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Static Application Security Testing (SAST)
Context-Aware Code Security
for the AI Era
Modern Code Security
Built for AI-Assisted
Engineering Workflows
Context-Aware Detection and Risk Prioritization
Heeler reduces SAST noise by combining environment-aware rule tuning with lifecycle-aware vulnerability tracking and runtime context. Instead of flooding teams with generic alerts, findings are surfaced and prioritized based on how the code actually behaves in production.
Automated Custom Rules for Each Environment
Detection rules are automatically curated through an AI-assisted triage process, tuning coverage to your codebase so findings reflect real application risk rather than theoretical patterns.
Cross-Scan Correlation
Heeler identifies the same vulnerability across commits and scans even when code shifts due to refactoring or new additions, preserving accurate lifecycle tracking.
Runtime-Aware Risk Scoring
Findings are prioritized using Heeler Risk Scoring, which incorporates reachability, service exposure, and runtime deployment context to surface the vulnerabilities that matter most.
Deep Data Flow Analysis
Heeler analyzes how untrusted input moves through an application using path-aware data flow analysis across functions and files. This identifies vulnerabilities based on real execution paths rather than shallow pattern matching.
Function-Level Taint Analysis
Tracks how input propagates through individual functions and internal logic.
Cross-File Flow Tracking
Validates vulnerabilities spanning modules, helpers, and application layers.
Source-to-Sink Call Stack Analysis
Determines whether untrusted input can actually reach dangerous operations.
Runtime, Service, and API Exposure Correlation
Heeler connects static code findings to the services and APIs actually running in your environment. By modeling application APIs and identifying which endpoints are internet-accessible, Heeler distinguishes theoretical vulnerabilities from real operational risk.
API Modeling
Heeler maps application APIs and associates vulnerable code paths with the endpoints that invoke them.
Internet Exposure Detection
Automatically identifies which APIs are externally accessible and reachable from the internet.
Service-Level Risk Context
Vulnerabilities are correlated with the services where they run, allowing prioritization based on exposure and operational impact.
The Problem With Traditional SAST
Most SAST tools analyze code in isolation, leaving security teams without the context needed to understand real-world risk.
No Visibility Into What’s Running
Traditional SAST scans repositories without knowing whether vulnerable code is actually deployed or reachable in production. This leaves security teams prioritizing theoretical issues instead of operational risk.
Noise From Code Movement
Small changes like refactoring or adding code can cause traditional scanners to report the same issue as both “fixed” and “new.” This creates noise, hides real change-driven risk, and erodes trust in the tool.
Shallow Pattern Matching
Many SAST tools rely heavily on pattern matching rather than understanding how data flows through an application. This leads to both false positives and missed vulnerabilities in complex or distributed codebases.
Benefits
Turn Static Findings
Into Real Risk Intelligence
Prioritize Based on Real Risk
Not every vulnerability represents the same level of operational risk. Heeler evaluates findings in the context of deployment status, service exposure, and runtime reachability.
High Signal, Deep Analysis
By analyzing how untrusted input actually propagates through the application, and whether those paths reach exposed services, Heeler surfaces high-confidence findings while filtering out unreachable or low-impact issues.
Operational Security Workflows
Heeler integrates SAST into security and development workflows, ensuring findings move efficiently from detection to remediation.
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.
