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devtooligan (ai arc)
security+ai 🧐
TOUCH GRASS EVERY DAY 👉 🌱
You're absolutely right!
🤝 Clients don't love to hear it but it absolutely needs to be said. It's literally the single most clear indicator.
Sometimes I present it like "We've been finding significant bugs every day this week, what are the chances we coincidentally found the last bug on the last day of the review? What do you think the likelihood is we would find more if we kept going?"
Such a waste to stop at that point too, SR's are in the zone and who better to keep digging than the team that's been staring at your code the last 3 weeks.
Ideally we could enter flexible arrangements (stop soon if we finish early, keep going if we're finding a lot) but it's not that simple since not only would that require flexibility from busy SR's but also creates weird incentives to extend the review.
It is possible if you build trust w the client.

Daniel Von Fange18.7. klo 03.32
The number of bugs found in your code is a good indicator of the number of bugs left in your code.
More auditors should say this when its true:

2,07K
devtooligan (ai arc) kirjasi uudelleen
> Going to pick a >1M bounty on @immunefi
> Pay for this audit (delayed payment ofc because I don't have 500k or anything close to it)
> Find all criticals, report for bounty
> Get bounty, pay for audit, keep the rest
> Infinite money glitch
Follow me for more alpha 🤓
4,27K
devtooligan (ai arc) kirjasi uudelleen
A few weeks ago, I was responding to a cybersecurity incident - $500,000 have been stolen from a #blockchain developer. The infected operating system was freshly installed, and the victim was vigilant about cybersecurity. How could this happen? New supply chain attack? [1/6]
115,92K
devtooligan (ai arc) kirjasi uudelleen
In the next 1-2 years, we will see AI Audit Tools proliferating rapidly. I have already observed many different methodologies and product forms:
1. There are increasingly more competitions among various audit tools
2. AI is able to cover more and more scenarios
3. New features and capabilities will continue to emerge
4. What ultimately determines whether a particular AI audit tool reaches the top will be its checklist, generalization capability, how solid its context engineering is, and how well it adapts to users' workflows
1,16K
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