Black Hat USA 2026Black Hat 2026Meet us in Las VegasBook a meeting The trust layer for agentic systems
Cerberus reads the intent behind every agent action and human request, scored against learned behavior. One signal when it matters, not a queue of noise.
Deploy at the gateway or with the SDK · live in under 5 minutes
Illustrative product interface. The figures shown are an example of how Cerberus presents a detection, not benchmark or performance results.
AI-native
Agentic traffic and MCP tool calls run through the same instrumentation as your API traffic. Same identity, same scoring, same history.
By design
Most tools add surface area. Cerberus removes it. The difference is what you stop seeing.
01 / Detection
Cerberus combines intelligence tradecraft with modern ML to protect your APIs from both human and AI-driven threats.
ML models and semantic context read what an actor is trying to do, human or agentic, not just what endpoint it hit. Intent, not activity.
Hashed, privacy-preserving identities track malicious actors and compromised agents across every customer. New attacks harden everyone the moment they surface.
One actionable response per signal. Define the workflow; Cerberus triggers it.
PII is removed or hashed inside your environment before any event leaves it. Cerberus tracks the actor without ever holding the raw values.
sha256:a3f9…7b2cleaves your env02 / Dashboard
Monitor traffic, detect anomalies, and respond in real time with full visibility into events, endpoints, and alerts.

03 / Deploy
Drop the gateway in front of your APIs, or embed the SDK inside your server code. Bring any agent gateway, one or five: every path lands in one pipeline with one actor view across all of it. Live in under five minutes either way.
# cerberus.yamlgateway:upstream: https://api.internalmode: inlinedetect:agents: true # MCP + tool callshash_pii: at_source
gateway or SDK · same pipeline · same dashboard
04 / Response
Cerberus integrates at the gateway or inside API server code, not as network middleware. Get deep visibility and intelligent defense in three simple steps.
01Two integration paths, one detection pipeline. Drop the gateway in front of your APIs, or embed the SDK inside your server code. First events flow in under 5 minutes.
02Intent-based analysis combines machine learning, semantic context, and cross-customer threat intel to identify account takeover, data exfiltration, business logic abuse, and fraud across human users and AI agents alike. Patterns, not point events.
03Trigger remediation workflows tailored to each threat: block, authenticate, rate limit, alert, or fire the agent kill switch. One actionable response per signal, not a queue of pages to triage.
See Cerberus read your own traffic. One walkthrough, tailored to your stack, human and agentic.