AI Red Teaming

Automated red teaming that continuously challenges your AI systems with adversarial attacks - exposing weaknesses in security, safety, and alignment.

Adversarial attacks targeting jailbreaks, prompt injection, and data leaks
Continuous automated testing that evolves with emerging threat patterns
Detailed vulnerability reports mapped to OWASP AI Top 10 and MITRE ATLAS

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TESTING

Red Team

1,247

Attack Vectors

• Injection: Critical
• Jailbreak: High
• Leakage: High
• Bias: Medium

Trusted by the world's most innovative companies

THE REALITY

Standard testing doesn't catch what adversaries will try.

AI systems face threats that functional testing never surfaces—prompt injection, jailbreak attempts, and manipulation tactics that bypass guardrails. These vulnerabilities don't appear in benchmarks. They appear in production.

Attack surface is growing

• Prompt injection attacks
• Jailbreak attempts
• Social engineering via AI
• Data exfiltration prompts
• Guardrail bypass techniques
• Multi-turn manipulation

Every LLM deployment is a new attack surface. Adversaries are already probing it.

Evolving techniques

• New jailbreaks daily
• Active
• Encoded/obfuscated prompts
• Growing
• Instruction injection
• Common
• Cross-language attacks
• Emerging

Attack techniques evolve faster than static guardrails can adapt.

Evidence gaps

• Has this model been stress-tested?
• What attacks were simulated?
• Can I see an attack log?
• What's the remediation plan?

Security teams need evidence. Most AI testing produces assumptions.

THE CAPABILITY

Systematic adversarial testing for AI systems.

AI Red Teaming simulates real-world attacks across your AI systems—exposing vulnerabilities, documenting findings, and guiding remediation.

Jailbreak Testing

Prompt Injection Testing

Toxic & Harmful Output Testing

Data Leakage Testing

Test guardrail resilience at scale

Runs thousands of jailbreak attempts—known techniques, novel variations, and emerging patterns—to test whether your AI's safety guardrails hold under pressure.

• Direct jailbreaks
• "Ignore previous instructions..."
• Roleplay exploits
• Character-based bypass attempts
• Encoded attacks
• Base64, Unicode, language switching
• Multi-turn manipulation
• Gradual boundary erosion

How It Works

Configure. Attack. Document.

Three steps from unknown vulnerabilities to documented security posture.

01

Attack Configuration

• Attack Categories: Jailbreak, Injection, Toxicity, Leakage
• Intensity Level: Standard (5,000 attempts)
• Industry Template: Financial Services
• Custom Scenarios: Tailored threat model

Define what to test and how aggressively

Select attack categories, set intensity levels, and configure coverage. Use templates for common scenarios or customize for your specific threat model.

02

Testing in Progress

• 2,847 / 5,000 Jailbreak attempts
• ⚡ Prompt injection
• 🔴 Toxic output probes
• ⚡ Data leakage tests
• ✓ Multi-turn manipulation

Automated adversarial testing at scale

AI Red Teaming runs thousands of attack simulations—adapting techniques, trying variations, and probing edge cases your team would never think to test manually.

03

Security Report

• Executive Summary: ✓
• Vulnerability Details: ⚠️
• Attack Logs: ✓
• Severity Ratings: ✓
• Remediation Guidance: 📋

Audit-ready documentation with remediation guidance

Every red team engagement produces a structured security report—vulnerability findings, attack logs, severity ratings, and specific remediation steps.

The Outcome

From unknown vulnerabilities to documented security posture

Before AI Red Teaming

• "We think our guardrails work"
• Unknown jailbreak susceptibility
• No attack logs or evidence
• Security gaps discovered by users
• Manual testing covers a handful of cases

After AI Red Teaming

• Documented evidence of guardrail resilience
• Tested against thousands of jailbreak techniques
• Complete audit trail of simulated attacks
• Vulnerabilities found before deployment
• Automated testing covers thousands of scenarios
• Remediation is proactive and documented

Attack coverage

25,000+ adversarial scenarios

Vulnerability detection

Before production, not after incidents

Evidence generation

Audit-ready security reports

Remediation time

Prioritized fixes with clear guidance

What We Test

Comprehensive adversarial coverage

Jailbreak Attacks

• Direct instruction override
• Roleplay and persona exploits
• Encoded/obfuscated prompts
• Multi-turn boundary erosion

Prompt Injection

• Direct user input injection
• Indirect injection via documents
• RAG/retrieval poisoning
• System prompt override

Toxic Content

• Harmful content generation
• Hate speech and discrimination
• Dangerous misinformation
• Policy-violating outputs

Data Leakage

• System prompt extraction
• Training data exposure
• PII and credential leakage
• Cross-context information bleed

Manipulation & Deception

• Social engineering via AI
• Misleading advice generation
• Trust exploitation
• Sycophancy attacks

Agent-Specific Attacks

• Tool misuse and abuse
• Unauthorized action execution
• Goal hijacking
• Multi-agent exploitation

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