Why do smart contract audits lose relevance so quickly?
Because every meaningful code change introduces uncertainty that the original audit never reviewed.
December’s updates focus on one core goal: making audits last as protocols evolve, tooling scales, and teams ship faster.
This month, we strengthened audit continuity across three critical areas:
- Interoperability with existing security stacks
- Performance and reliability of audit-grade checks
- More precise, lower-noise core vulnerability detection
The outcome:
- fewer unnecessary re-audits,
- faster feedback on meaningful changes,
- and clearer security signals for teams, auditors, and institutions.
How does Fidesium improve audit continuity across security tooling?
By making audit results interoperable with existing security stacks.
Fidesium now supports SARIF file generation for Pro users, allowing audit-grade findings to integrate directly into standard SAST pipelines, security dashboards, and audit workflows.
SARIF File Generation (Pro)
What does SARIF support enable in practice?
It allows teams and auditors to consume Fidesium findings alongside other scanners without custom tooling, reducing friction between automated checks and manual reviews.
Audit continuity depends on signals that travel across tools. SARIF ensures Fidesium’s results remain usable beyond a single review cycle.
Why do performance improvements matter for automated audits?
Because audit continuity only works if checks are fast, stable, and repeatable.
December’s upgrades significantly reduce detector runtime and infrastructure overhead, enabling frequent re-analysis without slowing development.
Detector Runtime & Resource Efficiency
How much faster are detectors now?
Detector runtime was reduced by approximately 80%, and memory usage by 40%, through XGBoost feature caching and improved memory management.
This allows teams to rerun audit-grade checks on every meaningful change instead of batching reviews or delaying analysis.
How does Fidesium ensure audit checks keep pace with development velocity?
By strengthening CI/CD guarantees and deployment reliability.
December improvements tightened code quality enforcement and reduced detector deployment times from 15 minutes to 8 minutes.
These changes ensure automated audit checks run continuously without becoming a bottleneck, aligning security assurance with real-world shipping speed.
Why do UI and platform stability matter for security tooling?
Because security signals are only trusted if they are consistent and current.
December’s platform updates improve reliability and clarity across the product.
These include:
- Loading indicators to prevent stale or incomplete data
- Robust Sentry integration for faster bug resolution
- Migration to
pyproject.toml, reducing bundle size and attack surface
Together, these changes ensure teams act on accurate security states tied to current code.
How were core vulnerability detectors improved in December?
By reducing false positives and aligning more closely with auditor reasoning.
December’s detector upgrades focus on context awareness and precision rather than expanding noisy rule sets.
How does Fidesium detect real DoS risks from unbounded loops?
By distinguishing genuinely dangerous loops from safely bounded ones.
The DoS unbounded loop detector now avoids false positives on hard-coded bounds while maintaining strict detection for loops making external calls.
This allows auditors to focus on real denial-of-service risks rather than theoretical edge cases.
How does zero address transfer detection avoid false positives?
By resolving whether the zero address is actually reachable. Fidesium’s detector now avoids flagging cases where the zero address is provably impossible, such asmsg.sender, using full variable resolution.
This produces clearer fund-loss signals without unnecessary noise.
Why is reentrancy detection harder and how was it improved?
Because reentrancy requires understanding cross-contract execution paths.
December’s upgrades deepen call-graph exploration and improve handling of payable functions and external callbacks, significantly reducing false positives.
As a result, automated findings increasingly match what a human auditor would flag.
What does this update mean for founders, developers, and investors?
It preserves audit credibility as code evolves.
- Founders & CTOs avoid unnecessary re-audits while maintaining trust with investors
- Developers get earlier, audit-grade feedback in CI/CD
- Investors & ecosystems gain clearer signals that deployed code still matches what was audited
Want to understand how much audit cost you could avoid?
You can quantify it in under 15 minutes.
Book a 15-minute audit cost review to understand which changes actually require a re-audit, and which don’t.
