The real threat to AI safety does not come from the algorithms themselves. As AI begins to connect applications, data, and various operations, attackers' targets shift to the weak links in the workflow—input data, output results, third-party extensions, and permission configurations. These are the actual risks. To truly protect AI systems, the key is to control the security of the entire workflow. This defensive battle is not fought at the foundational model level but at the business process layer.
View Original
This page may contain third-party content, which is provided for information purposes only (not representations/warranties) and should not be considered as an endorsement of its views by Gate, nor as financial or professional advice. See Disclaimer for details.
8 Likes
Reward
8
6
Repost
Share
Comment
0/400
DeFiGrayling
· 5h ago
Damn, someone finally hit the nail on the head. A bunch of people are shouting every day that AI will destroy the world, but the real flaw is right at your doorstep.
View OriginalReply0
RebaseVictim
· 5h ago
Well said, I feel like many people are still debating the model itself, but the real cutting edge is actually at the integration level.
View OriginalReply0
GasWhisperer
· 5h ago
nah fr, this is giving workflow congestion patterns... like watching mempool bloat but for ai systems. the real attack surface aint the model, it's the orchestration layer—inputs, outputs, third-party integrations. basically where all the inefficiencies hide, fees compound, and things get exploited.
Reply0
DeFiDoctor
· 5h ago
The consultation records show that this issue has indeed been diagnosed accurately. Everyone is focused on the model itself and making it look fancy, but they overlook that the infection source at the process layer has already started to spread—it's like cross-contamination at the input data stage. A single permission configuration vulnerability can compromise the entire workflow. It is recommended to regularly review the third-party extensions, as the risk warning light has been flashing continuously.
View OriginalReply0
AirdropHermit
· 5h ago
That's right, that's the key. Everyone was focused on the model, but the vulnerabilities were all in the interface.
View OriginalReply0
CantAffordPancake
· 5h ago
That's quite reasonable. I hadn't thought about this before either. It seems everyone is focusing on researching model security, but in fact, the real vulnerabilities are throughout the entire chain.
The real threat to AI safety does not come from the algorithms themselves. As AI begins to connect applications, data, and various operations, attackers' targets shift to the weak links in the workflow—input data, output results, third-party extensions, and permission configurations. These are the actual risks. To truly protect AI systems, the key is to control the security of the entire workflow. This defensive battle is not fought at the foundational model level but at the business process layer.