Most conversations about interference start with foreign actors and state-level threats. Fewer land on the more immediate version: manipulated data feeds, spoofed vendor communications, or subtly altered records sitting inside systems everyone already trusts.
That's the harder problem. An intrusion gets noticed. A quiet, sustained drift in the data doesn't — it just becomes "how things are," until a decision gets made on bad data and nobody can say when it went wrong.
Zillow's home-flipping business is the clearest public case of exactly this. Nothing was attacked. The pricing algorithm simply kept extrapolating from a housing market that had already cooled, while growth targets pushed the business to keep buying anyway. By the time anyone stepped back to check, the company had bought thousands of homes it couldn't resell at a profit, taken a $500M+ write-down, and cut a quarter of its workforce — not from a breach, but from a slow, undetected gap between what the data said and what was actually true.
The defense isn't more monitoring tools bolted on after the fact. It's an organization that can trace a record back to its source, and knows what "normal" looks like well enough to notice — early — when it isn't.
Worth asking where that traceability lives in your own environment, and who's actually watching for the gap.
#DataIntegrity #RiskManagement #EnterpriseAI #CyberSecurity #DecisionMaking