Red Teaming
Domain experts to help you build safe and responsible AI by uncovering weaknesses, biases and vulnerabilities.
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Jennifer
Austin, United States
Adversarial Security Researcher
About
Cybersecurity specialist with expertise in AI/ML security focused on adversarial attacks and model vulnerabilities. Expert in systematic penetration testing and exploitation techniques for ML systems.
Expertise
Industries
Trusted by the world's best
Challenges with Red Teaming
Inaccurate Information
Producing hallucinated, inaccurate, false and misleading information that could harm users.
Unknown Unknowns
Not knowing what to test the AI for and how it can fail in unexpected ways.
Regulatory Exposure
AI failures can trigger lawsuits, regulatory fines, and compliance violations.
Privacy Issues
AI sharing private, personal, sensitive information that it’s not supposed to reveal.
Adversarial Usage
AI that can be broken, manipulated, or exploited to use for fraud, or illicit activities.
Bias
AI that perpetuates prejudice, bias and unfair treatment toward certain populations.
Reliable model evaluation expertise and process
Red Team Expertise
1000's of Security researchers, AI ethics, compliance and safety specialist who can help you deploy safe and aligned AI to production.
Red Teaming
Aurelia
Financial AI Red Teamer
Zoe
Trading Model Auditor
Aria
Credit Risk Specialist
Luna
Fraud Detection Expert
Jake
Payment Security Tester
Attack surface coverage
Test beyond obvious vulnerabilities, finding the subtle edge cases, prompt injections, and cascading failures that internal teams typically miss.
Data Leakage
Prompt Injections
Sensitive data
Domain attack knowledge
Subject matter experts in your industry who know exactly what "dangerous wrong" looks like in healthcare, finance, legal, and other critical domains.
AI Medical Assistant
AI Diagnosis
Expert Review
Missed heart attack symptoms
Gender bias in diagnosis
No cardiac screening protocol
Real Diagnosis
Pre-Deployment Risk Mitigation
Identify and help you fix critical vulnerabilities in a controlled environment, preventing costly public failures, regulatory issues, and reputation damage.
Secure testing environment
Prompt injection
Jailbreaks
Bias issues
Production environment
Safe AI Deployment
Systematic, Documented Process
You get detailed reports with reproducible attack scenarios, risk assessments, and actionable remediation with steps on how to fix them.
Red Team Assessment Dashboard
Summary
Security Firewall and Risk containment
Ready to evaluate your model. Get started in 48 hours.
Join leading AI teams who've improved their models with deep domain expert feedback
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