One thing I’ve been thinking about lately is how security workflows in crypto are evolving as tooling improves.
Traditionally, a lot of vulnerability research (especially in smart contracts and DeFi) has been very manual. But with newer tools getting better at surfacing potential issues – sometimes even suggesting exploit paths or rough PoCs – it feels like there’s a shift happening toward more automation-assisted workflows.
I’ve been experimenting with introducing automation earlier in the process, not just for recon but as an initial signal generator. For example, running something like guardix upfront to highlight potential problem areas, and then following up with manual analysis to verify and understand the findings.
What’s interesting is that this can change how you prioritize your time. Instead of exploring the entire system uniformly, you’re starting from tool-generated signals and working outward.
That raises a question for me. Does this actually improve security outcomes, or just bias researchers toward certain classes of bugs?
Are we moving toward automation-first security workflows in crypto?
byu/MDiffenbakh inCryptoTechnology
Posted by MDiffenbakh
1 Comment
been doing similar stuff with my freelance security audits and its pretty mixed results tbh. the automation tools are getting way better at catching obvious stuff like reentrancy or integer overflows but they still miss a lot of logic bugs that need human intuition
what i noticed is that when you start from tool signals you tend to focus on those areas and might overlook weird edge cases in parts the tools marked as “clean”. had a project last month where guardix flagged some standard issues but completely missed a timestamp manipulation vulnerability that was sitting in supposedly safe code
the time savings are real though – instead of spending days doing initial recon you can jump straight to the interesting parts. just gotta remember to do at least some manual exploration in the “boring” sections too. maybe use automation for initial triage then do targeted manual sweeps in different areas?
think the sweet spot is using tools to generate your starting points but not letting them dictate your entire methodology