Stopping malicious code before it captures or executes on the device.
Malware and keyloggers represent one of the most fundamental risks in digital security — particularly in Web3, where a stolen private key equates to permanent asset loss. VeilNet AI deploys a multi-layer defense approach:
Heuristic Scanning: Identifies malicious patterns in processes even before signatures exist, stopping zero-day malware.
Kernel-Level Monitoring: Observes system calls to detect attempts to hook into input streams (such as keyboard and clipboard activity).
Keylogger Neutralization: Any unauthorized attempt to log keystrokes or intercept text entry is intercepted and blocked.
Encrypted Input Channeling: Sensitive actions (such as entering a seed phrase) are routed through encrypted, isolated input paths that bypass the standard OS keyboard buffer.
By combining detection with input obfuscation and active disruption, VeilNet AI ensures malware cannot exfiltrate sensitive wallet data, even in cases where the device itself is partially compromised.