Solutions / Bot and credential defense
Tell the script from the person.
Bots arrive with valid requests at inhuman scale, behind residential proxies and headless browsers. Cerberus separates automation from real users by intent and behavior, not brittle fingerprints or CAPTCHAs.
add frictionrate limitblocklistIllustrative product interface. The figures shown are an example of how Cerberus presents a detection, not benchmark or performance results.
Residential proxies
Thousands of rotating IPs make request-rate limits useless on their own.
Headless browsers
Modern bots pass fingerprint and JS challenges that stop the old ones.
Valid-looking requests
Each call is well-formed. The abuse is in the pattern, not the payload.
How it works
Behavior over fingerprints.
Fingerprints are spoofable. How an actor moves through your API is not.
Coverage
What Cerberus catches here.
Credential stuffing
High-volume login replay from automated tooling.
Carding and payment testing
Stolen-card validation against checkout and payment endpoints.
Content scraping
Systematic extraction of pricing, catalog, and proprietary data.
Inventory hoarding
Bots reserving stock or seats faster than any human could.
Fake account creation
Bulk signups for fraud, spam, and promotion abuse.
API scraping
Enumeration of API responses to rebuild a dataset or a competitor feed.
FAQ
Common questions
How do you detect bots behind residential proxies?
You stop relying on where the traffic comes from. Residential proxy pools rotate through addresses that belong to real households, so IP reputation and geography are close to useless against them. What survives rotation is behaviour: timing that is too uniform to be human, request sequences that skip the steps a person takes to arrive somewhere, and coverage of a catalogue no real user would work through. Those hold whether the traffic arrives from one address or ten thousand.
Why are CAPTCHAs and device fingerprints losing?
Both are challenges, and challenges get solved. Solver services clear CAPTCHAs for a fraction of a cent, and headless browsers now pass the fingerprint and JavaScript checks that stopped the previous generation. The deeper problem is that they tax the wrong people: every challenge is friction for real users and a rounding error for an attacker who has automated it.
How do you avoid blocking automation you actually want?
Most automation reaching an API is legitimate: partner integrations, monitoring, customer scripts, and increasingly AI agents acting for real users. A control whose question is "is this a script" gets that wrong by construction. The workable question is what the automation is doing, so declared integrations and agents with consistent histories pass while the same request rate aimed at enumeration does not.
How is this different from account takeover?
They overlap and they are not the same. Bot and credential defence is about automation operating against your surface at scale, including the stuffing that precedes a takeover. Account takeover is about the wrong actor inside a real account, which may involve no automation at all. The signals feed each other, which is why both run on the same actor model rather than in separate products.
Let the people through. Stop the scripts.
See Cerberus read your own traffic, human and agentic, in one walkthrough tailored to your stack.