Introducing Intent Graph: Adaptive Behavioral Fingerprinting to Stop the Most Sophisticated Bot Attacks

Cequence presents Intent Graph, an adaptive, five-dimensional behavioral fingerprinting framework, and recounts two real incidents where it detected and mitigated sophisticated automated abuse: an adaptive unauthorized-access campaign that iterated variants in real time and a very large-volume campaign that generated 297,556 behavioral variants in a single day. The post argues that focusing on behavioral intent and invariants — not static signatures or IP/user-agent attributes — enables reliable detection and automated blocking of credential abuse, carding, and unauthorized API access even as attackers rapidly rotate surface-level signals.