CISOs, AppSec & AI platform teams
Red-Team Agent
BuiltAdversarial testing for your LLM apps and agents, before your users (or attackers) do it for you.
The challenge
Every new agent is a new attack surface: prompt injection through retrieved documents, jailbreaks, tool misuse, data leaking out through outputs. Manual red-teaming doesn't keep up with weekly releases.
Our approach
The Red-Team Agent runs structured attack campaigns against an authorized target, whether that's a chatbot, a RAG app or a tool-using agent. It mutates attacks based on how the target responds and records reproducible findings. Results map to the OWASP Top 10 for LLM Applications, and the suite runs in CI so regressions fail the build.
Architecture
A supervisor and its specialists.
Campaign Planner
Builds a test plan from the target's scope, tools and data sensitivity.
Attack Generator
Creates and mutates direct and indirect prompt-injection, jailbreak and exfiltration probes.
Judge
Scores each response against explicit policy criteria, with evidence attached.
Reporter
Produces reproducible findings with severity, a transcript and remediation guidance.
PythonGoogle ADKLLM-as-judge with rubricsCI integrationOWASP LLM Top 10
Guardrails, enforced structurally
- Runs only against targets on an explicit, authorized allow-list
- Rate-limited, non-destructive probes by design
- Every finding is reproducible from a stored transcript
- Findings mapped to OWASP LLM Top 10 categories
- Can gate deployments as a CI check
What it changes
- A security baseline for every AI app before launch
- Regression testing that keeps up with release cadence
- Evidence your security and risk teams can act on
Next suite
Trust & Safety Triage
Want the Red-Team Agent for your team?
We'll adapt the specialists, data connections and approval rules to your systems in a scoped pilot.