For the teams putting agents to work.
Security teams at established companies. AI-native companies shipping new agents every week. Different pressure, same question: what are our agents doing, and could we stop one that turned? CerberusAI answers both, in near real time.
See every agent.
Stop the one that turns.
Security leaders at established companies
Business units put agents to work faster than security could review them. Each one holds credentials and reaches real data, and your existing tools can't tell a working agent from a hijacked one.
What we hear
“Teams launched agents we never reviewed, with access we never approved.”
“If an agent got hijacked, we'd find out from the incident report.”
“Our tools see the requests. They don't see the intent behind them.”
Ship agents fast.
Prove they stay on task.
AI-native companies
Your product runs on agents, and those agents touch your customers' data all day. One injected prompt or poisoned tool and it's a breach with your name on it.
What we hear
“Our agents handle customer data all day. One bad prompt and it's a breach.”
“We ship new agents every week. Security can't review each one.”
“Enterprise customers want to know how we'd catch an agent going wrong.”
Built from the intelligence world.
CerberusAI was founded by a naval intelligence officer who spent 8 years tracking actors and reading their intent, and an ML engineer from Airbnb, Apple, and Tesla Autopilot.
The method is the same one used to follow people of interest: establish a pattern of life, attribute every action to the actor behind it, and raise the flag when intent turns hostile. We point it at the agents your company now depends on.
Read Tradecraft, our field notes →