Every contract, adversarially reviewed
We built Aegis an automated auditing platform that thinks like an attacker — hunting down smart-contract exploits before a single line reaches mainnet.
- Client
- Aegis Protocol
- Timeline
- 15 weeks
- Our role
- Security tooling, AI, platform
- Platforms
- Web app, CI integration, API
Overview
Manual audits couldn't keep up with the code
Aegis's clients shipped contracts faster than human auditors could review them, and each unreviewed deploy was a gamble. They needed automated, adversarial analysis that scaled with the code.
Highlights
- Automated adversarial analysis of every contract
- Exploit detection wired directly into CI
- Clear, prioritized findings with reproduction steps
- Continuous re-checks as contracts evolve
Impact
1,200+
Vulnerabilities caught
-70%
Manual review time
0
Exploits shipped to mainnet
24/7
Continuous scanning
The challenge
Smart-contract exploits are subtle, adversarial, and expensive — one missed reentrancy bug can drain millions. Detection had to be thorough, fast, and trustworthy enough to gate real deploys.
Our approach
We combined static analysis, symbolic execution, and AI-assisted review into a pipeline that runs in CI, produces prioritized findings with reproductions, and re-checks contracts as they change.
The outcome
Aegis catches over a thousand vulnerabilities before mainnet, cuts manual review time by seventy percent, and gives teams the confidence to ship — with an attacker's-eye review on every commit.
What we built
The pieces that made it work
Adversarial analysis
Automated review that probes contracts like an attacker.
CI integration
Exploit checks gate every pull request.
Prioritized findings
Clear severity and reproduction steps for each issue.
Symbolic execution
Explores edge-case paths humans miss.
Continuous scans
Re-audits contracts automatically as they evolve.
Reporting
Audit-ready reports for stakeholders and reviewers.
Under the hood
“It's like having a tireless red team on every commit. We ship with a confidence we didn't have before.”
Have a build like this in mind?
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