How it works
See every agent. Know their intent. Enforce the right response.
Visibility, classification, enforcement — applied continuously to every agent that reaches your site or APIs.
Book a Demo →The spine
How it works
See every agent. Know their intent. Enforce the right response.
Arkose Agent Trust Manager works in three moves — visibility, classification, enforcement — applied continuously to every agent that reaches your site or APIs.
Book a Demo →The question has changed
It’s no longer “is this a bot?”
Automation used to mean abuse. Now the most valuable traffic on your site can be automated too. The useful question isn’t whether a request is a bot — it’s three others.
Who is this agent?
What is its intent?
How should we respond?
The spine
Visibility → Classification → Enforcement
Visibility
See every agent the moment it arrives — whether it identifies itself or tries not to. No agent traffic goes unaccounted for.
Classification
Determine who the agent is and what it intends, using a full stack of device, network, and behavioral signals — not a single declaration.
Enforcement
Apply the right response for that agent, from allow to block, and keep re-checking as the session continues.
Three populations
Not all agents are the same
Every agent that reaches you falls into one of three groups. Treating them identically is what breaks legacy detection.
Agents that announce themselves
Crawlers and assistants that identify who they are — for example through Web Bot Auth. Verify the claim and let verified partners through.
Agents acting for real users
Legitimate assistants completing tasks on a person’s behalf that don’t announce themselves. Recognize the good intent without requiring a declaration.
Agents built to hide
Automation disguised as a normal browser and routed through residential proxies to look human. Classified on behavior and signals, not on what it claims.
The response spectrum
Enforcement is a dial, not a switch
Blocking everything automated would break the good agents your customers rely on. Agent Trust Manager returns a recommendation across a spectrum, and you decide the action.
Intent is checked continuously
Classification isn’t a one-time gate at the front door. Agent Trust Manager re-evaluates intent as the session unfolds, so a trusted start can’t be quietly handed off to something malicious.
Why legacy detection fails
Older bot detection asks a binary question and assumes automation is bad. Today’s most valuable agents are legitimate automation — a yes/no bot verdict blocks the good ones and misses adversaries engineered to look human.
Economic deterrence
Make attacks too expensive to run
For adversarial agents, Agent Trust Manager can layer proof-of-work and an escalating challenge stack that quietly raises the cost of every attempt — so attacking at scale stops paying off, without adding friction for trusted traffic.
Production result
On a global education platform, Agent Trust Manager reviewed 14,859 agentic sessions across 1,244 exam attempts made through agentic browsers — flagging 28.8% as anomalous for the customer to act on.
Anonymized production result. Figures pending final sign-off.
Watch it classify your traffic
In a 30-day proof of value, see visibility, classification, and enforcement run against the agents already hitting your site.