Audio fingerprinting is a technique that uses a browser's audio processing capabilities to create a unique identifier for identifying web visitors, which has raised privacy concerns. Apple has attempted to counteract this in Safari 17 by introducing a feature that adds random noise to audio signals, thereby altering the identifier each time it is generated in private mode. However, this protection is not entirely effective, leading developers to enhance their fingerprinting algorithms to bypass the noise. The new approach involves reducing noise dispersion, increasing the differences between browser identifiers, and rounding the fingerprint to maintain stability. Despite performance degradation, these adjustments allow for a reliable fingerprinting method that remains effective even with Safari's advanced protection. The updated algorithm is now incorporated into FingerprintJS, a tool used to identify repeat bad actors, although some view this as a privacy violation.