Give five AI agents the same API key and you’ve essentially given a single skeleton key to five different employees, then thrown away the security camera footage. When one gets compromised, the attacker doesn’t just get access to that agent’s workflow. They inherit the permissions of every workflow that key touches. And the forensic trail? Dead on arrival, because there’s no way to tell which of the five agents actually did what.
According to VentureBeat’s June 2026 Pulse Research survey of 107 enterprises, 69% of organizations running AI agents have credential sharing somewhere in their deployments. In English: more than two-thirds of companies deploying autonomous AI systems are doing it with a fundamental security design flaw baked in.
The credential sharing problem runs deeper than one survey
VentureBeat’s findings aren’t an outlier. Gravitee’s 2026 State of AI Agent Security report paints a similar picture, finding that 45.6% of teams still rely on shared API keys for their agent infrastructure. Only 21.9% of teams treat AI agents as distinct, independent identities with their own scoped permissions.
Only 21% of organizations report having runtime visibility into their AI agent operations, according to broader 2026 industry findings. That means roughly four out of five companies deploying autonomous agents can’t actually see what those agents are doing in real time.
