#dusk $DUSK I went into Dusk’s AEGIS security analysis expecting to find a list of bugs.
Instead, I kept thinking about what happens after a bug meets a live network.
AEGIS fixed 39 findings, including 7 critical ones. Some were not cosmetic issues: they touched deterministic execution, consensus authentication, fee integrity and even chain availability.
That made me look at security differently.
A code review can reduce technical risk, but it cannot by itself make a network behave correctly under stress. Dusk’s validator model adds another layer: failed participation can trigger soft penalties, while provably invalid consensus behavior can lead to stake being burned.
So there are really three moving parts here: code has to execute correctly, validators have to behave correctly, and the economics have to make misbehavior expensive.
None of those layers substitutes for another.
That’s the part I hadn’t considered when I first looked at AEGIS. I now see it less as a “security certificate” and more as one component of a larger security loop.
The interesting question for @Dusk isn’t whether the code can be made safer.
It’s whether the code, validators and incentives continue reinforcing each other when the network is under real pressure.
That’s where the deeper security assumption lives.
#dusk $DUSK @Dusk
Instead, I kept thinking about what happens after a bug meets a live network.
AEGIS fixed 39 findings, including 7 critical ones. Some were not cosmetic issues: they touched deterministic execution, consensus authentication, fee integrity and even chain availability.
That made me look at security differently.
A code review can reduce technical risk, but it cannot by itself make a network behave correctly under stress. Dusk’s validator model adds another layer: failed participation can trigger soft penalties, while provably invalid consensus behavior can lead to stake being burned.
So there are really three moving parts here: code has to execute correctly, validators have to behave correctly, and the economics have to make misbehavior expensive.
None of those layers substitutes for another.
That’s the part I hadn’t considered when I first looked at AEGIS. I now see it less as a “security certificate” and more as one component of a larger security loop.
The interesting question for @Dusk isn’t whether the code can be made safer.
It’s whether the code, validators and incentives continue reinforcing each other when the network is under real pressure.
That’s where the deeper security assumption lives.
#dusk $DUSK @Dusk