Alternatives to Mayhem Code Security
Compare Mayhem Code Security alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Mayhem Code Security in 2026. Compare features, ratings, user reviews, pricing, and more from Mayhem Code Security competitors and alternatives in order to make an informed decision for your business.
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1
Aikido Security
Aikido Security
Secure your code, cloud, and runtime in one central system. Aikido’s all-in-one security platform is loved by developers and security teams alike with full security visibility, insight in what matters most, and fast/automatic vulnerability fixes. Teams get security done with Aikido thanks to: - False-positive reduction - AI Autotriage & AI Autofix - Deep integration into the dev workflow (from IDEs and task managers to CI/CD gating) - AI Pentests - Automated Compliance Aikido covers the entire Software Development Lifecycle (SDLC), including: static application security testing (SAST), dynamic application security testing (DAST), infrastructure-as-code (IaC), container scanning, secrets detection, open source license scanning (SCA), cloud posture management (CSPM), runtime protection, AI pentests, and more. -
2
Kiuwan Code Security
Kiuwan
Kiuwan is an end-to-end application security platform that integrates seamlessly into your development process. Our toolset includes Static Application Security Testing (SAST), Software Composition Analysis (SCA), Software Governance and Code Quality, empowering your team to quickly identify and remediate vulnerabilities. Integrating into your CI/CD pipeline, Kiuwan enables early detection and remediation of security issues. Kiuwan supports strict compliance with industry standards including OWASP, CWE, MISRA, NIST, PCI DSS, and CERT, among others. ✅ Large language support: 30+ programming languages. ✅ Detailed action plans: Prioritize remediation with tailored action plans. ✅ Code Security: Seamless Static Application Security Testing (SAST) integration. ✅ Insights: On-demand or continuous scanning Software Composition Analysis (SCA) to help reduce third-party threats. ✅ One-click Software Bill of Materials (SBOM) generation Code Smarter. Secure Faster. Ship Sooner. -
3
Mayhem
ForAllSecure
Advanced fuzzing solution that combines guided fuzzing with symbolic execution, a patented technology from CMU. Mayhem is an advanced fuzz testing solution that dramatically reduces manual testing efforts with autonomous defect detection and validation. Deliver safe, secure, reliable software with less time, cost, and effort. Mayhem’s unique advantage is in its ability to acquire intelligence of its targets over time. As Mayhem’s knowledge grows, it deepens its analysis and maximizes its code coverage. All reported vulnerabilities are exploitable, confirmed risks. Mayhem guides remediation efforts with in-depth system level information, such as backtraces, memory logs, and register state, expediting issue diagnosis and fixes. Mayhem utilizes target feedback to custom generate test cases on the fly -- meaning no manual test case generation required. Mayhem offers access to all of its test cases to make regression testing effortless and continuous. -
4
Martocci Mayhem
Martocci Mayhem
Martocci Mayhem is an all-in-one toolkit for YouTube creators: extended analytics, bulk creative generation (titles/descriptions/tags/thumbnails), bulk editing, AI coaching for scripts & hooks, and instant microsites to showcase your channel. Built to replace spreadsheets + scattered tools with a workflow that helps you ship faster and grow smarter.Starting Price: $24.99 per month -
5
Coverity Static Analysis
Black Duck
Coverity Static Analysis is a comprehensive code scanning solution that enables developers and security teams to deliver high-quality software in compliance with security, functional safety, and industry standards. It effectively uncovers complex defects across extensive codebases, identifying and resolving code quality and security issues that span multiple files and libraries. Coverity supports compliance with a wide range of standards, including OWASP Top 10, CWE Top 25, MISRA, and CERT C/C++/Java, providing built-in reports to track and prioritize issues. With the Code Sight™ IDE plugin, developers receive real-time results, including CWE information and remediation guidance, directly within their development environment, facilitating the integration of security into the software development life cycle without compromising developer velocity. -
6
CourtCaseFinder.com
Court Case Finder
CourtCaseFinder.com takes the legal system's complexity out of the picture by providing you with a comprehensive case report instantly online. Save time and money by using our advanced search to quickly find a complete report on any type of case - criminal or civil - ONLINE, without the need to contact any courthouse. Find his/her court cases that concern offences against another person such as Homicide, Manslaughter, Negligent/Vehicular Homicide, Assault, Battery, Criminal Negligence, False Imprisonment, Kidnapping, Mayhem, Robbery, and Sexual Assault, etc. Find his/her court cases that concern criminal activity against property such as Arson, Blackmail, Burglary, Embezzlement, Extortion, False Pretenses, Fraud, Larceny, Possessing or Receiving Stolen Property, Robbery, Theft, etc.Starting Price: $8.95 per month -
7
Oviond
Oviond
One Platform For Your Agencies Digital Marketing Data. Multi client, cross channel monitoring & reporting software for digital marketing agencies. All your clients data in one place. Whether you handle the marketing for your company or are an agency with hundreds of clients, Oviond has you covered. Simplify your life and take your time back by ending your marketing data mayhem today. Get all your clients, integrations, dashboards & client reporting into one place then sit back and let Oviond do the heavy lifting. Instantly integrated. Oviond integrates your marketing data into one simple platform. Making it easy to visualise, optimise and automate reporting on key performance areas across clients, digital platforms and campaigns. Combined real-time marketing insight across clients & marketing platforms. Collate your marketing data to provide always-on, cross-channel marketing intelligence.Starting Price: $74 / mo -
8
CodeSonar
CodeSecure
CodeSonar employs a unified dataflow and symbolic execution analysis that examines the computation of the complete application. By not relying on pattern matching or similar approximations, CodeSonar's static analysis engine is extraordinarily deep, finding 3-5 times more defects on average than other static analysis tools. Unlike many software development tools, such as testing tools, compilers, configuration management, etc., SAST tools can be integrated into a team's development process at any time with ease. SAST technologies like CodeSonar simply attach to your existing build environments to add analysis information to your verification process. Like a compiler, CodeSonar does a build of your code using your existing build environment, but instead of creating object code, CodeSonar creates an abstract model of your entire program. From the derived model, CodeSonar’s symbolic execution engine explores program paths, reasoning about program variables and how they relate. -
9
DefectDojo
10Security
Take DefectDojo for a spin and review the demo of DefectDojo and login with sample credentials. DefectDojo is available on Github and has a setup script for easy installation. A docker container with a pre-built version of DefectDojo is available. Know exactly when new vulnerabilities are introduced in a build or remediated. Tracking when a product is assessed is easily accomplished using DefectDojo's API to track security tests that are run on each build. DefectDojo has the ability to track the build-id, commit hash, branch or tag, orchestration server, source code repo, and build server for every on-demand security test. Various reports are available for tests, engagements, and products. Products can be grouped into critical products to track products that are critical to your organization. Similar findings can be easily merged into one finding to provide developers one finding instead of multiple findings. -
10
Perfecto
Perforce
Perfecto Is the Leading Testing Platform for Web & Mobile Apps. We believe your apps should perform no matter what. With Perfecto’s cloud-based solution, you can boost test coverage for fewer escaped defects while accelerating testing. From creation to execution and analysis, Perfecto has a proven, unified solution for your web and mobile testing needs. Test in your CI instead of the end of the cycle, and identify real failures quickly with false-negative filtering. Align platform and scenario test coverage with your actual users. Test failure analysis provides real test failure reasons. Heatmaps, test reports, and CI dashboards give you fast feedback. Get the most comprehensive rich test artifacts on the market, like crash logs, screenshots, and HAR files. Get visual validation for a side-by-side comparison across platforms. Eliminate bug reproduction time. Fix defects from your IDE. Integrate fully with Jira for full test management.Starting Price: $99.00/month -
11
UndercoverCI
UndercoverCI
Actionable test coverage for Ruby and GitHub. Checks and insights to help your team ship healthy code while saving time on PR reviews. Stop focusing on getting to 100% test coverage. Reduce pull request defects by telling when the changed code is untested before it's deployed to production. The CI server runs tests and uploads coverage data to UndercoverCI. That's the only required post-install setup step! We scan the PR diff and verify local test coverage for each updated class, method, and block because an absolute percentage check is not enough. Reveal untested methods and blocks, find unused code paths, and improve your test suite. Install UndercoverCI's hosted GitHub App or explore the Ruby gems family. Fully-featured GitHub App code review integration with quick setup for your organization. The UndercoverCI project and related Ruby gems are entirely open-source and free to use locally and in your CI/CD workflows.Starting Price: $49 per month -
12
beSTORM
Beyond Security (Fortra)
Discover code weaknesses and certify the security strength of any product without access to source code. Test any protocol or hardware with beSTORM, even those used in IoT, process control, CANbus compatible automotive and aerospace. Realtime fuzzing, doesn’t need access to the source code, no cases to download. One platform, one GUI to learn, with over 250+ prebuilt protocol testing modules and the ability to add custom and proprietary ones. Find the security weaknesses before deployment that are most often discovered by external actors after release. Certify vendor components and your own applications in your own testing center. Self-learning software module and propriety software testing. Customization and scalability for any business sizes up or down. Automatically generate and deliver near-infinite attack vectors and document any product failures. Record every pass/fail and hand engineering the exact command that produced each fail.Starting Price: $50,000.00/one-time -
13
CI Fuzz
Code Intelligence
CI Fuzz ensures robust and secure code with test coverage up to 100%. Use CI Fuzz from the command line or in the IDE of choice to generate thousands of test cases automatically. CI Fuzz analyzes code as it runs, just like a unit test, but with AI support to efficiently cover all paths through the code. Uncover real bugs in real-time and say goodbye to theoretical issues and false positives. Find real issues with all the information needed to quickly reproduce and fix them. Test your code with maximum code coverage and automatically detect typical security-relevant bugs like injections and remote code executions automatically in one go. Get fully covered to deliver the highest quality software. Conduct real-time code analysis with CI Fuzz. Take unit tests to the next level. It employs AI for comprehensive code path coverage and the automatic generation of thousands of test cases. Maximize pipeline performance that doesn't compromise software integrity.Starting Price: €30 per month -
14
Fuzzbuzz
Fuzzbuzz
The Fuzzbuzz workflow is very similar to other CI/CD testing workflows. However, unlike other testing workflows, fuzz testing requires multiple jobs to run simultaneously, which results in a few extra steps. Fuzzbuzz is a fuzz testing platform. We make it trivial for developers to add fuzz tests to their code and run them in CI/CD, helping them catch critical bugs and vulnerabilities before they hit production. Fuzzbuzz completely integrates into your environment, following you from the terminal to CI/CD. Write a fuzz test in your environment and use your own IDE, terminal, or build tools. Push to CI/CD and Fuzzbuzz will automatically start running your fuzz tests against your latest code changes. Get notified when bugs are found through Slack, GitHub, or email. Catch regressions as new changes are automatically tested and compared to previous runs. Code is built and instrumented by Fuzzbuzz as soon as a change is detected.Starting Price: Free -
15
ClusterFuzz
Google
ClusterFuzz is a scalable fuzzing infrastructure that finds security and stability issues in software. Google uses ClusterFuzz to fuzz all Google products and as the fuzzing backend for OSS-Fuzz. ClusterFuzz provides many features to seamlessly integrate fuzzing into a software project’s development process. Fully automatic bug filing, triage, and closing for various issue trackers. Supports multiple coverages guided fuzzing engines for optimal results (with ensemble fuzzing and fuzzing strategies). Statistics for analyzing fuzzer performance, and crash rates. Easy to use web interface for management and viewing crashes. Support for various authentication providers using Firebase. Support for black-box fuzzing, test case minimization, and regression finding through bisection. -
16
Google ClusterFuzz
Google
ClusterFuzz is a scalable fuzzing infrastructure that finds security and stability issues in software. Google uses ClusterFuzz to fuzz all Google products and as the fuzzing backend for OSS-Fuzz. ClusterFuzz provides many features to seamlessly integrate fuzzing into a software project’s development process. Fully automatic bug filing, triage, and closing for various issue trackers. Supports multiple coverages guided fuzzing engines for optimal results (with ensemble fuzzing and fuzzing strategies). Statistics for analyzing fuzzer performance, and crash rates. Easy to use web interface for management and viewing crashes. Support for various authentication providers using Firebase. Support for black-box fuzzing, test case minimization, and regression finding through bisection.Starting Price: Free -
17
afl-unicorn
Battelle
afl-unicorn lets you fuzz any piece of binary that can be emulated by Unicorn Engine. If you can emulate the code you’re interested in using the Unicorn Engine, you can fuzz it with afl-unicorn. Unicorn Mode works by implementing the block-edge instrumentation that AFL’s QEMU mode normally does into Unicorn Engine. Basically, AFL will use block coverage information from any emulated code snippet to drive its input generation. The whole idea revolves around the proper construction of a Unicorn-based test harness. The Unicorn-based test harness loads the target code, sets up the initial state, and loads in data mutated by AFL from disk. The test harness then emulates the target binary code, and if it detects that a crash or error occurred it throws a signal. AFL will do all its normal stuff, but it’s actually fuzzing the emulated target binary code. Only tested on Ubuntu 16.04 LTS, but it should work smoothly with any OS capable of running both AFL and Unicorn.Starting Price: Free -
18
Code Intelligence
Code Intelligence
Our platform uses various security techniques, including coverage-guided and feedback-based fuzz testing, to automatically generate millions of test cases that trigger hard-to-find bugs deep within your application. This white-box approach protects against edge cases and speeds up development. Advanced fuzzing engines generate inputs that maximize code coverage. Powerful bug detectors check for errors during code execution. Uncover true vulnerabilities only. Get the input and stack trace as proof, so you can reliably reproduce errors every time. AI white-box testing uses data from all previous test runs to continuously learn the inner-workings of your application, triggering security-critical bugs with increasingly high precision. -
19
DoubleCheck Code Analysis
Green Hills Software
When it comes to ensuring software quality, reliability, and security in today's sophisticated code bases, traditional debugging and testing methods simply fall short. Automated tools such as static source code analyzers are more effective in finding defects that could result in buffer overflows, resource leaks, and other security and reliability issues. This class of defects are often not detected by compilers during standard builds, run-time testing, or typical field operation. While other source code analyzers run as separate tools, DoubleCheck is an integrated static analyzer, built into the Green Hills C/C++ compiler. DoubleCheck leverages accurate and efficient analysis algorithms that have been tuned and field-proven in 30+ years of producing embedded development tools. DoubleCheck can be used as a single integrated tool to perform compilation and defect analysis in the same pass. -
20
beSOURCE
Beyond Security (Fortra)
Integrate security into SDLC via potent code analysis. Security must be an integral part of software development. Historically it hasn’t been. Static application security testing (SAST) used to be divorced from Code quality reviews, resulting in limited impact and value. beSOURCE addresses the code security quality of applications and thus integrates SecOps into DevOps. Other SAST offerings look at security as an isolated function. Beyond Security has turned this model upside-down by assuming the SecOps’ perspective in addressing security from all possible angles. Security Standards. beSOURCE adheres to all pertinent standards, guiding static code analysis engine in providing an actionable reference point. -
21
Etheno
Crytic
Etheno is an Ethereum-testing, JSON RPC multiplexer, analysis tool wrapper, and test integration tool. It eliminates the complexity of setting up analysis tools like Echidna on large, multi-contract projects. If you are a smart contract developer, you should use Etheno to test your contracts. If you are an Ethereum client developer, you should use Etheno to perform differential testing on your implementation. Etheno runs a JSON RPC server that can multiplex calls to one or more clients. API for filtering and modifying JSON RPC calls. Enables differential testing by sending JSON RPC sequences to multiple Ethereum clients. Deploy to and interact with multiple networks at the same time. Integration with test frameworks like Ganache and Truffle. Run a local test network with a single command. Use our prebuilt Docker container to quickly install and try Etheno. Etheno can be used in many different ways and therefore, has numerous command-line argument combinations.Starting Price: Free -
22
Azure Test Plans
Microsoft
Plan, execute, and track scripted tests with actionable defects and end-to-end traceability. Assess quality throughout the development lifecycle by testing your desktop or web applications. Design and execute tests simultaneously to maximize quality in modern software development processes using exploratory test sessions. Capture rich scenario data as you execute tests to make discovered defects actionable. Take advantage of end-to-end traceability and quality for your stories and features. Test your application by executing tests across desktop or web apps. -
23
Codex Security
OpenAI
Codex Security is an AI-powered application security agent developed by OpenAI to help teams detect and fix vulnerabilities in software systems. The tool analyzes code repositories to understand the structure, architecture, and potential risk areas within a project. Using this context, it identifies complex security issues that traditional scanning tools might overlook. Codex Security prioritizes vulnerabilities based on their real-world impact, helping security teams focus on the most critical threats. The system also validates findings through sandboxed testing environments to reduce false positives and improve accuracy. Once vulnerabilities are confirmed, it proposes patches and remediation steps that align with the system’s existing behavior. By combining AI reasoning with automated validation, Codex Security helps development teams ship more secure code faster. -
24
OWASP WSFuzzer
OWASP
Fuzz testing or fuzzing is a software testing technique, that basically consists in finding implementation bugs using malformed/semi-malformed data injection in an automated fashion. Let’s consider an integer in a program, which stores the result of a user’s choice between 3 questions. When the user picks one, the choice will be 0, 1, or 2, which makes three practical cases. Integers are stored as a static size variable. If the default switch case hasn’t been implemented securely, the program may crash and lead to “classical” security issues. Fuzzing is the art of automatic bug finding, and its role is to find software implementation faults and identify them if possible. A fuzzer is a program that automatically injects semi-random data into a program/stack and detects bugs. The data-generation part is made of generators, and vulnerability identification relies on debugging tools. Generators usually use combinations of static fuzzing vectors. -
25
Peach Fuzzer
Peach Tech
Peach is a SmartFuzzer that is capable of performing both generation and mutation-based fuzzing. Peach requires the creation of Peach Pit files that define the structure, type information, and relationships in the data to be fuzzed. It additionally allows for the configuration of a fuzzing run including selecting a data transport (publisher), logging interface, etc. Peach has been under active development since 2004 and is in its third major version. Fuzzing continues to be the fastest way to find security issues and test for bugs. Effective hardware fuzzing with Peach will introduce students to the fundamentals of device fuzzing. Peach was designed to fuzz any type of data consumer from servers to embedded devices. Researchers, corporations, and governments already use Peach to find vulnerabilities in hardware. This course will focus on using Peach to target embedded devices and collect information from the device in the event of a crash.Starting Price: Free -
26
Honggfuzz
Google
Honggfuzz is a security-oriented software fuzzer. Supports evolutionary, feedback-driven fuzzing based on code coverage (SW and HW-based). It’s multi-process and multi-threaded, there’s no need to run multiple copies of your fuzzer, as Honggfuzz can unlock the potential of all your available CPU cores with a single running instance. The file corpus is automatically shared and improved between all fuzzed processes. It’s blazingly fast when the persistent fuzzing mode is used. A simple/empty LLVMFuzzerTestOneInput function can be tested with up to 1mo iteration per second on a relatively modern CPU. Has a solid track record of uncovered security bugs, the only (to date) vulnerability in OpenSSL with the critical score mark was discovered by Honggfuzz. As opposed to other fuzzers, it will discover and report hijacked/ignored signals from crashes (intercepted and potentially hidden by a fuzzed program).Starting Price: Free -
27
Testaify
Testaify
Achieve your continuous software testing goals through AI: Testaify models your app, writes and executes test cases, and reports on findings so you can focus on product quality. Be a testing superhero. When you transition software testing to Testaify's AI worker bees, you offload the heavy lifting of test script writing and maintenance. No more fragile scripts breaking down. Autonomous testing with Testaify discovers your web app, designs and executes test cases, and reports on findings. Replace test automation with autonomous software testing. AI-powered test creation applies test methodologies. AI-generated test automation and execution increase productivity. Easily consume test findings to validate defects. Focus on bug fixes and strategic work. Release more confidently with comprehensive on-demand insights. Writing and maintaining fickle test scripts is time-consuming and difficult. Testaify eliminates this busy work by crafting tests for you through autonomous software testing.Starting Price: $199 per test run -
28
Defensics Fuzz Testing
Black Duck
Defensics Fuzz Testing is a comprehensive, versatile, automated black box fuzzer that enables organizations to efficiently and effectively discover and remediate security weaknesses in software. The generational fuzzer takes an intelligent, targeted approach to negative testing. Advanced file and protocol template fuzzers enable users to build their own test cases. The SDK allows expert users to use the Defensics framework to develop their own test cases. Defensics is a black box fuzzer, meaning it doesn’t require source code to run. With Defensics, users can secure their cyber supply chain to ensure the interoperability, robustness, quality, and security of software and devices before introducing them into IT or lab environments. Defensics fits nearly any development workflow, whether in a traditional SDL or CI environment. Its API and data export capabilities also enable it to integrate with surrounding technologies, making it a true plug-and-play fuzzer. -
29
Panto
Panto
Panto is an AI-powered code review agent designed to enhance code quality and security by integrating seamlessly with development workflows. Its proprietary AI operating system aligns code with business context from tools like Jira and Confluence, enabling efficient and context-aware code reviews. It supports over 30 programming languages and conducts more than 30,000 security checks, ensuring comprehensive analysis of codebases. Panto AI's "Wall of Defense" operates continuously to expose vulnerabilities and suggest fixes, preventing flawed code from reaching production. With features like zero code retention, CERT-IN compliance certification, and on-premise compatibility, it prioritizes data security and compliance. Developers benefit from high signal-to-noise ratio reviews, reducing cognitive overload and allowing focus on critical logic and design issues.Starting Price: $12 per month -
30
Echidna
Crytic
Echidna is a Haskell program designed for fuzzing/property-based testing of Ethereum smart contracts. It uses sophisticated grammar-based fuzzing campaigns based on a contract ABI to falsify user-defined predicates or Solidity assertions. We designed Echidna with modularity in mind, so it can be easily extended to include new mutations or test specific contracts in specific cases. Generates inputs tailored to your actual code. Optional corpus collection, mutation and coverage guidance to find deeper bugs. Powered by Slither to extract useful information before the fuzzing campaign. Source code integration to identify which lines are covered after the fuzzing campaign. Interactive terminal UI, text-only or JSON output. Automatic test case minimization for quick triage. Seamless integration into the development workflow. Maximum gas usage reporting of the fuzzing campaign. Support for a complex contract initialization with Etheno and Truffle.Starting Price: Free -
31
Jtest
Parasoft
Meet Agile development cycles while maintaining high-quality code. Use Jtest’s comprehensive set of Java testing tools to ensure defect-free coding through every stage of software development in the Java environment. Streamline Compliance With Security Standards. Ensure your Java code complies with industry security standards. Have compliance verification documentation automatically generated. Release Quality Software, Faster. Integrate Java testing tools to find defects faster and earlier. Save time and money by mitigating complicated and expensive problems down the line. Increase Your Return From Unit Testing. Achieve code coverage targets by creating a maintainable and optimized suite of JUnit tests. Get faster feedback from CI and within your IDE using smart test execution. Parasoft Jtest integrates tightly into your development ecosystem and CI/CD pipeline for real-time, intelligent feedback on your testing and compliance progress. -
32
Google OSS-Fuzz
Google
OSS-Fuzz offers continuous fuzzing for open source software. Fuzz testing is a well-known technique for uncovering programming errors in software. Many of these detectable errors, like buffer overflow, can have serious security implications. Google has found thousands of security vulnerabilities and stability bugs by deploying guided in-process fuzzing of Chrome components, and we now want to share that service with the open source community. OSS-Fuzz aims to make common open source software more secure and stable by combining modern fuzzing techniques with scalable, distributed execution. Projects that do not qualify for OSS-Fuzz can run their own instances of ClusterFuzz or ClusterFuzzLite. Currently, OSS-Fuzz supports C/C++, Rust, Go, Python, and Java/JVM code. Other languages supported by LLVM may work too. OSS-Fuzz supports fuzzing x86_64 and i386 builds.Starting Price: Free -
33
QA.tech
QA.tech
We create a comprehensive memory of your web app and the interactions we engage in. Our QA testing agent identifies actions and objectives. Configure the tests with your own user credentials and data. Multiple personas monitoring the agent create defects varying in severity. Our AI agent reasons and takes steps to achieve test objectives. Automatic comments on your pull requests with actionable feedback. Generates developer-friendly bug reports, including console logs, network requests, and more. Testing takes time from building new features and even minor app changes that require updating the test code. Production bugs can cause strain on support, interrupt developers and even lead to customer loss. Manual testing is costly and results in slow feedback cycles, which can potentially delay releases. -
34
Requs AI Predict Software FMEA
Mission Ready Software
The Requs Suite includes software reliability prediction, software FMEA, software reliability sensitivity analysis and software reliability growth. Requs AI Predict has the only machine learning model to predict defect density in software - before the code is even written. It predicts escaped defects, failure rate, MTBSF, reliability and availability too. The Requs Software FMEA is the only intelligent software tool for software design FMEA. It determines which of the Common Defect Enumerations (CDEs) are applicable and their relative likelihood. It allows for importing of design from MBSE tools. It supports international FMEA standards and can be used for both reliability and safety analyses. The Advanced Sensitivity Analysis supports tradeoffs between reliability, cycle time, people effort, test effort. It shows which factors are most and least important for reducing defect density. The Reliability Growth Module is used during testing to trend defects and forecast MTBSF.Starting Price: $1199/year/user -
35
Klocwork
Perforce
Klocwork static code analysis and SAST tool for C, C++, C#, Java, and JavaScript identifies software security, quality, and reliability issues helping to enforce compliance with standards. Built for enterprise DevOps and DevSecOps, Klocwork scales to projects of any size, integrates with large complex environments, a wide range of developer tools, and provides control, collaboration, and reporting for the entire enterprise. This has made Klocwork the preferred static analyzer that keeps development velocity high while enforcing continuous compliance for security and quality. Use Klocwork static application security testing (SAST) for DevOps (DevSecOps). Our security standards identify security vulnerabilities, helping to find and fix security issues early and proving compliance to internationally recognized security standards. Klocwork integrates with CI/CD tools, containers, cloud services, and machine provisioning making automated security testing easy. -
36
hevm
DappHub
The hevm project is an implementation of the Ethereum Virtual Machine (EVM) made specifically for symbolic execution, unit testing, and debugging of smart contracts. It is developed by DappHub and integrates especially well with the DappHub tool suite. The hevm command line program can symbolically execute smart contracts, run unit tests, interactively debug contracts while showing the Solidity source, or run arbitrary EVM code. Computations can be performed using a local state set up in a testing harness or fetched on demand from live networks using RPC calls. Run a symbolic execution against the given parameters, searching for assertion violations. One can also specialize specific arguments to a function signature while leaving others abstract. hevm uses an eager approach for symbolic execution, meaning that it will first attempt to explore all branches of the program.Starting Price: Free -
37
Codecov
Codecov
Develop healthier code. Improve your code review workflow and quality. Codecov provides highly integrated tools to group, merge, archive, and compare coverage reports. Free for open source. Plans starting at $10/user per month. Ruby, Python, C++, Javascript, and more. Plug and play into any CI product and workflow. No setup required. Automatic report merging for all CI and languages into a single report. Get custom statuses on any group of coverage metrics. Review coverage reports by project, folder and type test (unit tests vs integration tests). Detailed report commented directly into your pull request. Codecov is SOC 2 Type II certified, which means a third-party audits and attests to our practices to secure our systems and your data.Starting Price: $10 per user per month -
38
Patched
Patched
Patched is a managed service that leverages the open-source framework Patchwork to automate development tasks such as code reviews, bug fixing, security patching, and documentation. By utilizing large language models, Patched enables developers to build and deploy AI-assisted workflow, referred to as "patch flows", that autonomously handle post-code activities, thereby enhancing code quality and accelerating development cycles. The platform offers a user-friendly graphical interface and a visual workflow builder, allowing for the customization of patch flows without the need to manage infrastructure or LLM endpoints. For those who prefer self-hosting, Patchwork provides a self-hosted command-line interface agent that integrates seamlessly with existing development pipelines. Patched emphasizes privacy and control, enabling deployment within an organization's infrastructure using its own LLM API keys.Starting Price: $99 per month -
39
Precogs AI
Precogs AI
Precogs AI is an autonomous application security platform that finds, fixes, and ships secure code—without slowing developers down. AI-native detection across code, binaries, and data with 98% precision and near-zero false positives. Auto-generates fixes directly in pull requests. Built-in PII detection (99.2%), secrets scanning, and Pre-LLM Sanitization to protect your IP during AI analysis. Covers SAST, SCA, SBOM, IaC, containers, binary/DAST. Tops CASTLE benchmark. Free tier available.Starting Price: $34/month -
40
mirrord
MetalBear
mirrord is an open-source tool that lets developers run local processes in the context of their cloud environment. It makes it incredibly easy to test your code on a cloud environment (e.g. staging) without actually going through the hassle of Dockerization, CI, or deployment, and without disrupting the environment by deploying untested code. Instead of saving it for the last step, now you can shift-left on cloud testing you can test your code in the cloud from the very beginning of your development process.Starting Price: Free -
41
Ffuf
Ffuf
Ffuf is a fast web fuzzer written in Go. You can also practice your Ffuf scans against a live host with different lessons and use cases either locally by using the Docker container or against the live-hosted version. Provides virtual host discovery (without DNS records). In order to tell Ffuf about different inputs to test out, a wordlist is needed. You can supply one or more wordlists on the command line, and in case you wish (or are using multiple wordlists) you can choose a custom keyword for them. You can supply Ffuf with multiple wordlists (remember to configure a custom keyword for them though). The first word of the first wordlist is tested against all the words from the second wordlist before moving along to test the second word in the first wordlist against all the words in the second wordlist. In short, all of the different combinations are tried out. There are quite a few different ways to customize the request.Starting Price: Free -
42
BFuzz
RootUp
BFuzz is an input-based fuzzer tool that takes HTML as an input, opens up your browser with a new instance, and passes multiple test cases generated by domato which is present in the recurve folder of BFuzz, more over BFuzz is an automation that performs the same task repeatedly and it doesn't mangle any test cases. Running BFuzz will ask for the option of whether to fuzz Chrome or Firefox, however, this will open Firefox from recurve and create the logs on the terminal. BFuzz is a small script that enables you to open the browser and run test cases. The test cases in recurve are generated by the domato generator and contain the main script. It contains additional helper code for DOM fuzzing.Starting Price: Free -
43
Solidity Fuzzing Boilerplate
patrickd
Solidity Fuzzing Boilerplate is a template repository intended to ease fuzzing components of Solidity projects, especially libraries. Write tests once and run them with both Echidna and Foundry's fuzzing. Fuzz components that use incompatible Solidity versions by deploying those into a Ganache instance via Etheno. Use HEVM's FFI cheat code to generate complex fuzzing inputs or to compare outputs with non-EVM executables while doing differential fuzzing. Publish your fuzzing experiments without worrying about licensing by extending the shell script to download specific files. Turn off FFI if you don't intend to make use of shell commands from your Solidity contracts. Note that FFI is slow and should only be used as a workaround. It can be useful for testing against things that are difficult to implement within Solidity and already exist in other languages. Before executing tests of a project that has FFI enabled, be sure to check what commands are actually being executed.Starting Price: Free -
44
Agentic StarShip
OpenCSG
Agentic StarShip is a comprehensive AI-powered platform developed by OpenCSG to enhance software development efficiency and code quality. It offers a suite of tools designed to automate and streamline various aspects of the development process. One of its key components is CodeSouler, an intelligent coding assistant that integrates seamlessly with popular IDEs like Visual Studio Code and JetBrains. Agentic StarShip provides features such as automatic code commenting, optimization, refactoring, and test case generation. It also facilitates real-time code explanations and Q&A, enabling developers to quickly understand and improve their codebase. The plugin supports right-click context menus and conversation boxes for easy interaction, and it offers operation commands for efficient code manipulation. Another vital feature is SecScan, an AI-driven security scanning tool that performs deep analysis of source code to identify potential vulnerabilities. -
45
Asterisk
Asterisk
Asterisk is an AI-driven platform that automates the detection, verification, and patching of security vulnerabilities within codebases, effectively emulating the approach of a human security engineer. It excels in identifying complex business logic errors through context-aware scanning and provides comprehensive reports with near-zero false positives. Key features include automated patch generation, continuous real-time monitoring, and extensive support for major programming languages and frameworks. Asterisk's process involves indexing the codebase to create accurate call stack and code graph mappings, enabling precise vulnerability detection. The platform has demonstrated its efficacy by autonomously discovering vulnerabilities in systems. Founded by a team of seasoned security researchers and competitive CTF players, Asterisk is committed to leveraging AI to streamline code security audits and enhance vulnerability discovery. -
46
Qualify
Original Software
Qualify by Original Software is a comprehensive test management and automation solution that simplifies the testing process for teams of all sizes. It allows users to manage manual testing, test automation, user acceptance testing, and process documentation in a single platform. Qualify offers tools for easy test planning, scheduling, and execution, with clear visibility into progress and issues. The platform integrates well with DevOps tools like Jira, enabling smooth defect tracking and management. It features an intuitive drag-and-drop interface for test planning, an intelligent dashboard for tracking test progress, and a full test asset repository, ensuring all requirements, test cases, results, and defects are stored in one place. Qualify is designed to provide a streamlined testing workflow, enabling faster project delivery and improved test accuracy by ensuring no detail is overlooked. -
47
Checkmarx
Checkmarx
The Checkmarx Software Security Platform provides a centralized foundation for operating your suite of software security solutions for Static Application Security Testing (SAST), Interactive Application Security Testing (IAST), Software Composition Analysis (SCA), and application security training and skills development. Built to address every organization’s needs, the Checkmarx Software Security Platform provides the full scope of options: including private cloud and on-premises solutions. Allowing a range of implementation options ensures customers can start securing their code immediately, rather than going through long processes of adapting their infrastructure to a single implementation method. The Checkmarx Software Security Platform transforms the standard for secure application development, providing one powerful resource with industry-leading capabilities. -
48
Boofuzz
Boofuzz
Boofuzz is a fork of and the successor to the venerable Sulley fuzzing framework. Besides numerous bug fixes, Boofuzz aims for extensibility. Like Sulley, Boofuzzincorporates all the critical elements of a fuzzer like easy and quick data generation, instrumentation and failure detection, target reset after failure, and recording of test data. Much easier install experience and support for arbitrary communications mediums. Built-in support for serial fuzzing, ethernet- and IP-layer, UDP broadcast. Better recording of test data, consistent, thorough, and clear. Test result CSV export and extensible instrumentation/failure detection. Boofuzz installs as a Python library used to build fuzzer scripts. It is strongly recommended to set up Boofuzz in a virtual environment.Starting Price: Free -
49
Mailosaur
Mailosaur
Mailosaur lets QA and Development teams capture, test and analyze email and SMS messages using their existing test framework or language. Catch bugs before your customers do! Pinpoint defects in critical workflows, such as account activation and password resets before they get released. Mailosaur is a key addition to any reliable suite of test tools or frameworks, giving you full confidence in the most critical workflows of your application. Use a new email address for every test run, project, team member, or idea you have! Integrate the results into your existing test framework. Create phone numbers that let you perform end-to-end tests of critical workflows, such as security verification checks. Build out real-world test scenarios that perform common user actions such as following links in emails, replying to messages and triggering web beacons. Prevent internal environments from sending externally, and never email a real customer by mistake!Starting Price: $9 per month -
50
LibFuzzer
LLVM Project
LibFuzzer is an in-process, coverage-guided, evolutionary fuzzing engine. LibFuzzer is linked with the library under test, and feeds fuzzed inputs to the library via a specific fuzzing entry point (or target function); the fuzzer then tracks which areas of the code are reached, and generates mutations on the corpus of input data in order to maximize the code coverage. The code coverage information for libFuzzer is provided by LLVM’s SanitizerCoverage instrumentation. LibFuzzer is still fully supported in that important bugs will get fixed. The first step in using libFuzzer on a library is to implement a fuzz target, a function that accepts an array of bytes and does something interesting with these bytes using the API under test. Note that this fuzz target does not depend on libFuzzer in any way so it is possible and even desirable to use it with other fuzzing engines like AFL and/or Radamsa.Starting Price: Free
