# Break your agents before attackers do.

> Continuously red-team the AI agents and agentic workflows you ship, the fastest-growing and least-tested part of your attack surface.

Canonical: https://pensar.dev/agent-red-teaming

## One injected instruction, a full credential leak.

Pensar runs adversarial conversations against your agents and follows the chain wherever it leads, from a smuggled prompt to tool-call hijacking to exfiltrated secrets.

## How it works

1. **Probe the agent.** Agents attack your tools, system prompts, and retrieval surface with custom payloads, jailbreaks, and indirect prompt injection.
2. **Follow the chain.** When a payload lands, Pensar pursues it: tool-call hijacking, SSRF through unbounded fetches, cross-tenant isolation breaks, data exfiltration.
3. **Report and harden.** Each chain comes back as a step-by-step finding with the leaked payload and a drafted patch, like an allowlist on the tool that was abused.

## Why it's different

- **Coverage that keeps pace.** Agentic surface changes every release. Continuous red-teaming tracks new tools and prompts as you ship them, instead of a one-off audit that ages out in a sprint.
- **Full-chain, not single-turn.** Anyone can flag a risky reply. Pensar proves the end-to-end consequence, from injected instruction to real credentials leaving your network.
- **Built on a real offensive engine.** The same frontier offensive agents that test your apps test your agents, with lab-direct model access and custom payloads per engagement.

## Proof

> A risky-looking response is a guess. A leaked IAM token posted to an attacker endpoint is a finding. Pensar shows you the second one.
>
> Full-chain exploits, verified, not speculative

## Frequently asked questions

### What kinds of agents can you test?

Any agent or agentic workflow you expose: customer-facing assistants, internal copilots, RAG pipelines, and multi-tool agents. Pensar attacks the tools, system prompts, and retrieval surface, whatever model or framework sits underneath.

### What attacks do you run?

Indirect prompt injection, jailbreaks, tool-call hijacking, SSRF through unbounded fetches, cross-tenant isolation breaks, and data exfiltration, plus custom payloads tailored to your specific tools and threat model.

### How do you test without breaking the agent or leaking real data?

Engagements run against non-production environments you scope, and the credentials and data Pensar reaches are the ones you choose to expose to the test. The exfiltration you see in a finding is proof of reachability, run under your control.

### Does this keep pace as we ship new agent features?

Yes. Red-teaming is continuous, so new tools and prompts are tested as you release them, instead of a one-off audit that ages out within a sprint.

## Test the agents before they reach production.

Connect an agent or agentic workflow and see the chains a real attacker would find.

- Get a demo: https://cal.com/team/pensar/pensar-scoping-call
- Read the docs: https://docs.pensar.dev