How TrustInSoft Offers Mathematical Proof of Code Quality, Security, and Reliability

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TrustInSoft's Promise of Mathematical Proof

TrustInSoft employs formal verification, a technique that uses mathematical reasoning to prove the correctness of code. This approach offers a higher level of assurance compared to traditional testing methods. Formal verification involves creating a mathematical model of the software and using automated reasoning techniques to prove that the software meets its specifications. TrustInSoft Analyzer leverages advanced static analysis and formal methods to analyze C and C++ code, identifying potential vulnerabilities and proving the absence of bugs. TrustInSoft's technology mathematically proves that the code behaves as expected under all possible conditions, eliminating the risk of undetected vulnerabilities.

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Fault injection

Proactive Code Correctness

By providing mathematical guarantees of code correctness, TrustInSoft empowers developers to build systems that are resilient to errors and secure against attacks. This proactive approach not only reduces the risk of costly failures but also enhances the overall trustworthiness of the software. As the demand for safer and more secure software continues to grow, TrustInSoft remains at the forefront, pioneering innovative solutions that leverage the power of mathematical proof.

Protection with formal methods

Exhaustively Detect All Memory Safety Vulnerabilities

Thorough exploration of all execution paths, ensuring comprehensive coverage and robust code integrity and all undefined behaviors, including buffer overflows, integer overflows, and division by zero.

Correct code

The Future of Code Assurance

Mathematical proof is essential for ensuring code quality, security, and reliability in today's complex software landscape. TrustInSoft is committed to providing innovative solutions for code verification, helping organizations build safer, more secure, and more reliable software. The increasing reliance on software in critical systems necessitates a shift towards more rigorous verification methods. Traditional testing approaches are no longer sufficient to guarantee the absence of vulnerabilities, making formal verification a crucial component of modern software development.

What is formal verification?

Does TrustInSoft Analyzer reduce false positives?

What types of vulnerabilities can TrustInSoft Analyzer detect?

What are the benefits of using TrustInSoft Analyzer over traditional testing methods?