Write tests that think like attackers. We help teams build security properties into tests and fuzz harnesses so dangerous edge cases get caught before production.
Security-focused unit tests and invariants
Property-based testing strategy
Fuzz harness design and coverage goals
CI integration for continuous security testing
Regression test packs for past issues
Test strategy for critical flows and boundaries
highest-risk flows and invariants
the behaviors that must always hold
fuzzable and maintainable
make it continuous, not occasional
coverage and bug yield, not vanity metrics
Security properties catalog + test mapping
Working fuzz/symbolic harnesses for critical code
CI gating recommendations
Regression pack for confirmed issues
Frequently Asked Questions
Fuzz testing is an automated technique that feeds random or semi-random inputs into your code to uncover crashes, edge cases, and unexpected behavior. It is especially effective for parsing logic, state machines, and complex mathematical operations.
Yes—we build fuzzing harnesses that run alongside your existing unit tests. This allows developers to gain fuzzing coverage without disrupting their normal development workflow.
Fuzzers explore unusual input combinations that manual testing often misses, such as extreme values, malformed data, and unexpected state transitions. This helps uncover issues like integer overflows, memory corruption, and logic flaws.
Yes—we develop tailored fuzzing harnesses specific to your codebase. While generic fuzzers are helpful, custom-built fuzzers are far more effective at identifying deep, context-specific vulnerabilities.
Test-driven development encourages developers to define expected behavior and edge cases before writing code. This leads to better error handling, stronger invariants, and early detection of potential security issues.
Continuous fuzzing helps detect regressions and newly introduced bugs over time. It exposes unknown attack vectors early, strengthening the overall robustness of the application.
We configure fuzzing to run on every commit or on scheduled intervals (e.g., nightly). Developers receive alerts when crashes or invariant violations are detected, enabling rapid fixes.
A blockchain security audit firm with the goal of making the Web3 space more secure through innovative and effective solutions.
