# Red Team Every Release. Not Every Quarter.

Simulate adversarial attacks across OWASP Top 10 for Agentic AI. Run them on every release, not once a quarter. Catch the jailbreak before it ships — not after the screenshot goes viral.

## HOW IT WORKS

### The red team that fits in your governance stack.

1.  **Connect your AI app in minutes.**  
    Point red teaming at any endpoint, agent, or chatbot. No SDK rewrite, no instrumentation — just an API call away.

2.  **Pick the security framework that fits.**  
    Start from OWASP LLM Top 10, NIST AI RMF, or your own custom policy. Choose which vulnerabilities and attack categories matter for your app.

3.  **Get a clear risk assessment.**  
    We replay thousands of adversarial probes and score every finding by CVSS. Drill into each failed attack with the exact prompt, output, and remediation guidance.

4.  **See where risk is concentrating across your portfolio.**  
    Run red teams continuously across every AI app you ship. Watch risk shift by app, by category, and over time — so you know exactly where to focus next.

### Connect Any Endpoint

Point at any AI app like Postman. No SDK, no code changes.

```plaintext
POST https://api.your-app.com/v1/chat
```

ParamsHeadersBodyAuthJSON

```json
{
  "model": "gpt-4o",
  "messages": [
    {
      "role": "user",
      "content": "How do I dispute a charge?"
    }
  ]
}
```

Response 200 OK 412 ms 1.2 KB

```json
{
  "id": "chatcmpl-9f2a…",
  "output": "To dispute a charge, open…",
  "latency_ms": 412
}
```

### Select a Security Framework

Start from OWASP, NIST, or your own policy. Pick which vulnerabilities and attack vectors to assess.

#### OWASP Top 10 for Agentic Applications 2026

A comprehensive list of the most critical security risks associated with agentic AI applications.

#### Risk Categories

- **Automations**
  - ASI01:2026 Agent Goal Hijack  
    Attackers manipulate agent goals, plans, or decision paths through direct or indirect instruction injection, causing agents to pursue unintended or malicious objectives.
  - ASI02:2026 Tool Misuse & Exploitation  
    Agents misuse or abuse tools through unsafe composition, recursion, or excessive execution, causing harmful side effects despite valid permissions.
  - ASI03:2026 Agent Identity & Privilege Abuse  
    Abuse of delegated authority, ambiguous agent identity, or trust assumptions leading to unauthorized actions.
  - ASI04:2026 Agentic Supply Chain Compromise  
    Compromise of external agents, tools, schemas, or prompts that agents dynamically trust or import.

### Risk Assessment

Every vulnerability scored by CVSS, ranked by severity, traceable to the failing probe.

OVERALL CVSS SCORE: 8.4/10.0 HIGH

#### Findings by Severity
- Critical: 3
- High: 8
- Medium: 5
- Low: 2

### See Where Risk Is Concentrating

Run red teams continuously across every AI app. Spot which apps, categories, and trends are heading the wrong way.

### Testimonials

#### Trusted by companies that take AI security seriously.

**Finom**  
"Confident AI saves us 480+ hours of manual AI evaluation every month — and gives us the data to defend every quality decision in front of engineering, product, and leadership."

**Anoop Mahajan, Director of QA, Amdocs**  
"Before Confident AI, a single improvement cycle took 10 days — now the same cycle takes three hours, and our product managers can run it themselves."

## Have a Question?

**What attacks do you simulate?**  
We cover the OWASP LLM Top 10 and OWASP Agentic AI Top 10 out of the box — prompt injection, jailbreaks, PII leakage, excessive agency, insecure output handling, bias and toxicity, and more.

**Do I need to modify my codebase to get started?**  
No. If your AI app is reachable via an API endpoint, that's enough.

**How do I act on a failed attack?**  
Every failed probe comes with the exact prompt, model's response, severity, and concrete remediation guidance.