bug-bounty362
xss309
google231
facebook189
microsoft186
apple129
exploit99
rce90
csrf79
account-takeover64
bragging-post62
authentication-bypass59
writeup51
access-control49
browser48
defi48
smart-contract47
ethereum44
open-source42
malware41
privilege-escalation39
ssrf38
sql-injection38
web336
ai-agents35
docker34
cve33
smart-contract-vulnerability33
dos31
aws30
idor29
react29
information-disclosure29
api-security29
denial-of-service28
supply-chain28
burp-suite26
solidity25
clickjacking25
oauth24
wordpress23
race-condition23
web-security23
node22
vulnerability-disclosure22
remote-code-execution22
phishing21
automation21
responsible-disclosure21
reverse-engineering21
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architecture-discussion
This is a conceptual exploration of SaaS architecture patterns for AI-native systems, proposing a separation between LLM reasoning and deterministic execution through an intermediate intent/plan layer that validates changes against a semantic model before application, preventing drift and schema corruption in long-lived AI-generated applications.