bug-bounty267
google223
facebook191
microsoft178
apple129
exploit104
rce99
xss88
writeup55
csrf52
defi48
smart-contract47
ethereum44
open-source44
access-control42
account-takeover39
sqli39
aws37
docker36
ssrf36
ai-agents36
web335
malware35
bragging-post33
smart-contract-vulnerability33
cloudflare33
cve32
react32
dos31
idor28
subdomain-takeover27
wordpress26
browser26
privilege-escalation26
supply-chain26
solidity25
cors24
oauth23
node22
authentication-bypass21
auth-bypass21
cloud21
race-condition21
denial-of-service21
automation20
tool19
lfi19
pentest19
vulnerability-disclosure19
machine-learning18
0
7/10
A technical walkthrough of building a silent data loss detection system using BigQuery's native Storage Write API metadata and built-in ML anomaly detection (AI.DETECT_ANOMALIES), implemented as a dbt incremental model that monitors hundreds of tables without external infrastructure or custom ML training.
data-quality
anomaly-detection
bigquery
storage-write-api
ml-detection
timeseries-analysis
dbt
monitoring
pipeline-validation
data-loss-detection
BigQuery
Storage Write API
WRITE_API_TIMELINE_BY_PROJECT
AI.DETECT_ANOMALIES
TimesFM
Nordnet
Pub/Sub
dbt