The major platforms now echo what Cequence has said for years: what an actor does matters more than what it claims to be. The validation is useful. What separates us is the engine, the ground truth, and the heritage behind it.
Identity vendors and point tools can now say the right words. The difference is what stands behind them.
A single behavioral engine judges customer-facing apps and internal agents alike, while others are single-sided or bolt agent features onto a network, identity, or AI-runtime stack.
Patterns read across 10 billion interactions a day and 4 billion accounts. A moat new entrants cannot manufacture.
Our roots on the application side are the bridge into the agent side, where the first ask is always: show me what is already running.
When an agent solves the CAPTCHA and produces human-like signals, what is left to detect it with?
What do you do about headless agents that generate no client-side signal at all?
How do you stop a trusted agent that has gone rogue?
For a decade, zero trust verified who is connecting. Cequence extends it to what every actor actually does, for the full session.
The architecture Dr. Chase Cunningham, who helped define zero trust, and independent research with Anthropic arrived at, grounded in more than a decade of behavioral data.
The fastest way to understand Cequence is to see what is already happening across your apps and agents. We will show you.
Cequence secures and governs how humans, bots, and AI agents interact with enterprise applications and data, extending zero trust from identity to action.