Healenium
AI-driven test automation healing for resilient UI tests.
AI-automated fuzz testing for finding bugs and vulnerabilities.

CI Fuzz by Code Intelligence is an AI-automated coverage-guided fuzz testing solution designed to find bugs and vulnerabilities with minimal effort. By subjecting software to unexpected inputs, it uncovers hidden flaws that might cause crashes or security breaches. It helps detect critical issues like buffer overflows and memory corruption right after code changes, at unit, integration, and system testing stages. The tool integrates into the development process to test code automatically as soon as an executable program is available, identifying the root cause in minutes and complying with industry standards like ISO 21434 and Automotive SPICE. It uses AI to efficiently cover all code paths and automatically generate test cases.
CI Fuzz by Code Intelligence is an AI-automated coverage-guided fuzz testing solution designed to find bugs and vulnerabilities with minimal effort.
Explore all tools that specialize in generate unexpected inputs to expose bugs. This domain focus ensures CI Fuzz delivers optimized results for this specific requirement.
Explore all tools that specialize in automated code testing upon code changes. This domain focus ensures CI Fuzz delivers optimized results for this specific requirement.
Explore all tools that specialize in pinpoint the root cause of vulnerabilities. This domain focus ensures CI Fuzz delivers optimized results for this specific requirement.
Open side-by-side comparison first, then move to deeper alternatives guidance.
AI algorithms automatically generate test cases to achieve maximum code coverage with minimal manual effort. The agent learns from previous test runs to optimize future testing.
Analyzes source code as it runs, identifying code paths that are not adequately tested and generating test cases to cover them. This ensures thorough testing and minimizes blind spots.
Provides instant access to a full stack trace at your fingertips when an issue is found. This makes the bug easy to reproduce, allowing developers to identify the root cause in minutes.
Seamlessly integrates with existing CI/CD pipelines, allowing for automated fuzz testing as part of the development process. This ensures that code is tested early and often, preventing vulnerabilities from making their way into production.
Enables testing of AUTOSAR applications without hardware dependencies. This is particularly useful for automotive software developers who need to test their code in a realistic environment without the need for physical hardware.
Helps organizations comply with ISO 21434 standards for automotive cybersecurity. Fuzz testing is recommended by ISO/SAE 21434.
Conducts real-time code analysis to find truly relevant issues, uncovering real bugs and saying goodbye to theoretical issues and false positives.
Integration with CI/CD pipelines
Configuration of fuzzing parameters
Setting up code coverage analysis
Training on interpreting vulnerability reports
All Set
Ready to go
Verified feedback from other users.
“Users praise its ease of use, comprehensive code coverage, and the ability to find deeply hidden bugs.”
Post questions, share tips, and help other users.