JA3 fingerprinting is a method of profiling clients based on specific communication parameters during the TLS handshake, developed by Salesforce in 2017 to enhance security and threat detection. While it provides a low computational footprint and a more nuanced method than IP addresses for identifying suspicious activity, its limitations include insufficient fingerprint granularity, vulnerability to spoofing attacks, discrepancies across toolsets, and a lack of context for threat assessment. These weaknesses make JA3 unsuitable as a standalone security solution, prompting the development of more advanced methods like JA4 and Fingerprint's device intelligence platform. JA4 expands on JA3 by incorporating additional context from the TLS handshake, such as transport protocol and sorted hashes, but still suffers from some of the same limitations. Fingerprint's platform enhances client identification with over 100 signals and advanced algorithms, providing more accurate and actionable insights, such as VPN usage and bot activity, thereby offering a more robust security strategy.