Everyone now says behavior matters.
We’ve been analyzing it for a decade.
The market is catching up to what Cequence has said for years: what an actor does matters more than what it claims to be. What separates us is the detection engine, the data behind it, and over a decade of experience.
Three Advantages Proven Over a Decade in Production
Identity vendors and point tools now claim behavior-based detection too. These three things separate claiming it from doing it.
One Engine for Apps and Agents
The same behavioral engine evaluates customer-facing apps and internal agents. Most alternatives only cover one side, or bolt agent features onto a network, identity, or AI-runtime stack,
Ten Years of Enterprise Traffic
Detection built on 10 billion interactions a day across 4 billion protected accounts, shaped by ten years of analyzing real enterprise traffic.
Discovery Comes First
We have years of experience finding APIs customers didn't know they had. Agents get the same treatment: the first step is showing you what's already running.
Three Questions Most Tools Can't Answer
Zero Trust for the Agentic Era
Dr. Chase Cunningham
For a decade, zero trust verified who is connecting. Cequence extends it to what actors do. Research from Dr. Chase Cunningham, who helped define zero trust, and frontier model vendor Anthropic
both described the agent containment architecture that Cequence had already built.
Behavioral Analysis At Enterprise Production Scale
Every human, bot, and agent – judged by their actions and bound to their assigned task.
Cequence governs every human, bot, and agent interaction with your applications and data, and puts you in control.
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