TrustInSoft Analyzer
TrustInSoft commercializes a source code analyzer called TrustInSoft Analyzer, which analyzes C and C++ code and mathematically guarantees the absence of defects, immunity of software components to the most common security flaws, and compliance with a specification. The technology is recognized by U.S. federal agency the National Institute of Standards and Technology (NIST), and was the first in the world to meet NIST’s SATE V Ockham Criteria for high quality software.
The key differentiator for TrustInSoft Analyzer is its use of mathematical approaches called formal methods, which allow for an exhaustive analysis to find all the vulnerabilities or runtime errors and only raises true alarms.
Companies who use TrustInSoft Analyzer reduce their verification costs by 4, efforts in bug detection by 40, and obtain an irrefutable proof that their software is safe and secure.
The experts at TrustInSoft can also assist clients in training, support and additional services.
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ZeroPath
ZeroPath (YC S24) is an AI-native application security platform that delivers comprehensive code protection beyond traditional SAST. Founded by security engineers from Tesla and Google, ZeroPath combines large language models with deep program analysis to deliver intelligent security testing that finds real vulnerabilities while dramatically reducing false positives.
Unlike traditional SAST tools that rely on pattern matching, ZeroPath understands code context, business logic, and developer intent. This enables identification of sophisticated security issues including business logic flaws, broken authentication, authorization bypasses, and complex dependency vulnerabilities.
Our comprehensive security suite covers the application security lifecycle:
1. AI-powered SAST
2. Software Composition Analysis with reachability analysis
3. Secrets detection and validation
4. Infrastructure as Code scanning
5. Automated PR reviews
6. Automated patch generation
and more...
ZeroPath integrates seamlessly with GitHub, GitLab, Bitbucket, Azure DevOps and many more. The platform handles codebases with millions of lines across Python, JavaScript, TypeScript, Java, Go, Ruby, Rust, PHP, Kotlin and more.
Our research team has been successful in finding vulnerabilities like critical account takeover in better-auth (CVE-2025-61928, 300k+ weekly downloads), identifying 170+ verified bugs in curl, and discovering 0-days in production systems at Netflix, Hulu, and Salesforce.
Trusted by 750+ companies and performing 200k+ code scans monthly.
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Parca
Gain a comprehensive understanding of your application's performance in a live environment by consistently utilizing continuous profiling techniques. By maintaining a low overhead for data collection, you ensure that you will always have access to crucial profiling information whenever needed. Many companies find that a significant portion of their resources, often around 20-30%, is squandered on poorly optimized code paths. The Parca Agent simplifies the profiling process by eliminating the need for instrumentation across your entire infrastructure; just deploy it and you're ready to go! Over time, the profiling data gathered by Parca allows for confident identification of hot paths that require optimization, while also enabling comparisons between different queries, such as software versions or other relevant factors. This valuable profiling data not only sheds light on the specific code executed by a process over time but also makes it easier to troubleshoot challenging issues, such as memory leaks or sudden spikes in CPU and I/O that lead to unexpected behaviors. With these insights, teams can effectively allocate resources and prioritize their optimization efforts for maximum impact.
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VisualVM
VisualVM is a powerful tool used for monitoring and troubleshooting Java applications from version 1.4 onwards, supporting a variety of technologies such as jvmstat, JMX, Serviceability Agent (SA), and Attach API from different vendors. It is designed to meet the diverse needs of application developers, system administrators, quality engineers, and end users alike. For each running process, VisualVM displays essential runtime details including the process ID (PID), main class, arguments supplied to the Java process, JVM version, JDK home directory, JVM flags, and system properties. Additionally, it tracks various performance metrics such as CPU usage, garbage collection (GC) activity, heap and metaspace memory usage, the number of loaded classes, and the count of currently running threads. VisualVM also includes basic profiling features that allow for in-depth analysis of application performance and memory management, offering both sampling and instrumentation profiling options to cater to different analysis needs. This comprehensive set of tools makes VisualVM an invaluable resource for anyone looking to optimize their Java applications effectively.
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