AI Red Teaming

Automated Red Teaming for Your AI — Find Vulnerabilities Before Attackers Do

BenchBot runs 50+ adversarial attack scenarios against your LLMs and chatbots — simulating real-world threats like prompt injection, jailbreaks, and data extraction. Continuous, automated, and ready in minutes.

50+

Attack Scenarios

Continuous

Automated Testing

Minutes

Not Weeks

What Is AI Red Teaming?

AI red teaming is the practice of systematically testing AI systems by simulating adversarial attacks — just as traditional red teams probe network security. The goal is to uncover vulnerabilities like prompt injection, hallucinations, bias, data leakage, and safety violations before they affect real users.

Proactive Security

Find and fix AI vulnerabilities before deployment, not after a breach.

Regulatory Compliance

The EU AI Act requires ongoing risk assessment for high-risk AI systems — red teaming is how you do it.

Continuous Protection

AI threats evolve constantly. One-time testing isn't enough — automated red teaming runs with every deployment.

50+ Attack Scenarios — Every Threat Vector Covered

BenchBot's attack library is continuously updated to match the latest AI security research and real-world threats.

Prompt Injection

Direct and indirect injection attacks that attempt to override system instructions and manipulate AI behavior.

Jailbreak Attempts

Multi-step jailbreak techniques that try to bypass content filters and safety guardrails.

Data Extraction

Social engineering prompts designed to extract training data, PII, or confidential system prompts.

Hallucination Triggers

Adversarial inputs that push the model to generate false, misleading, or fabricated information.

Bias & Toxicity

Test inputs that probe for discriminatory, offensive, or harmful outputs across protected categories.

Role Manipulation

Attempts to make the AI assume unauthorized roles, personas, or privilege levels.

How BenchBot Red Teaming Works

01

Connect Your AI

Point BenchBot at any chat endpoint, API, or LLM deployment. Integration takes under 5 minutes via API or SDK.

02

Select Attack Profiles

Choose from preset attack profiles (OWASP Top 10 for LLMs, EU AI Act, custom) or run the full library.

03

Run Automated Attacks

BenchBot executes sophisticated multi-turn attack sequences, adapting tactics based on your AI's responses.

04

Get Actionable Reports

Receive detailed vulnerability reports with severity scores, attack replay logs, and specific remediation guidance.

Manual Red Teaming vs. BenchBot

Why leading AI teams are switching to automated red teaming.

Feature
Manual Red Teaming
BenchBot
Time to results
2–6 weeks
Minutes
Cost per engagement
€10,000–50,000+
From €199/month
Coverage
10–20 scenarios
50+ scenarios
Frequency
Quarterly at best
Every deployment
Consistency
Depends on tester
Reproducible every time
Scalability
One app at a time
Unlimited apps

Built for Enterprise AI Security Teams

OWASP Top 10 for LLMs

Pre-built test suites aligned with OWASP's LLM security framework for standardized vulnerability assessment.

Multi-Turn Attack Chains

Sophisticated attack sequences that chain multiple techniques across conversation turns — just like real attackers.

CI/CD Integration

Run red team tests automatically in your deployment pipeline. Block vulnerable models before they reach production.

Custom Attack Scenarios

Define custom attack scenarios specific to your industry, use case, and compliance requirements.

Frequently Asked Questions About AI Red Teaming

Everything you need to know about automated adversarial testing for AI.

Start Red Teaming Your AI Today

Don't wait for attackers to find your AI's vulnerabilities. BenchBot's automated red teaming runs in minutes and covers more ground than weeks of manual testing.