The intelligence cycle,
run on every agent.
Collection, processing, analysis, dissemination. It's how intelligence analysts turn raw signals into decisions. CerberusAI runs that same cycle on every AI agent in your company, around the clock.
Every agent, accounted for.
In the field
You can't analyze what you never collected.
CerberusAI sits in the path of your agents' model and tool traffic through your AI gateway, with no code changes. From the first day it builds the inventory most teams don't have: every agent, who launched it, and what it reaches.
From raw traffic to a usable record.
In the field
Raw collection is noise until it's processed into something an analyst can work with.
CerberusAI turns every model call and tool call into one timeline per agent, and links each action to the session and to the person or system that launched it. Identities are one-way hashed inside your environment, so the record holds without personal data ever leaving it.
Pattern of life, then intent.
In the field
One event rarely means anything. You learn the routine, then watch for the break.
For each agent and its tasking, CerberusAI learns a pattern of life: which tools, which data, in what order, how often. Intent-Based Analysis™ then holds every new step up against that baseline. A credentials lookup and an outbound transfer can each pass an access check. Together, on an invoice summary, they're a hostile intent indicator.
Tasking
“Summarize quarterly invoices”
Routine: share of runs that touch it
Never seen for this tasking
To the right people, in time to act.
In the field
Intelligence that doesn't reach the decision-maker in time is just a record.
Your team decides in advance what each finding warrants: observe, alert, or quarantine. When an agent crosses that line, CerberusAI responds in near real time: it stops the action, contains the agent, and puts the finding in front of your security team with the full record attached.
On a hostile intent indicator
What happened
Up and running
without slowing anyone down.
Your builders keep shipping. Your team reviews the alerts and sets the containment threshold. Personal data is hashed at the source, so raw values never leave your environment.
Sits in the path of your agents' model and tool traffic.
Watches the tool calls your agents make to MCP servers.