12/04/2025
At RSNA, everyone is talking about AI in imaging — but not enough people are talking about securing it.
Healthcare faces threat types that traditional tools simply aren’t built to see.
This is where GuardDog.AI is different.
Connected medical devices can be hijacked as entry points into broader networks. Traditional security sees “normal communication.” GuardDog.AI understands clinical behavior and flags when a device starts acting like a reconnaissance tool.
Patients’ IoT devices transmit data outside your firewall. Your existing stack can’t see Bluetooth or home-device pathways — but attackers can. GuardDog.AI monitors those blind spots end-to-end.
And as radiology leans deeper into AI models, adversarial attacks and training-data poisoning are becoming real risks. GuardDog.AI detects anomalous inputs and model-level drift that could compromise diagnostics.
This is why GuardDog stands apart at RSNA:
It’s purpose-built for healthcare, and engineered for the realities of imaging AI.
Full breakdown → https://guarddog.ai/the-healthcare-specific-threats-youre-not-thinking-about/
Connect with Mark A Watts at RSNA