AI Red Teaming & Safety

User Stories

As a security team, I want automated jailbreak testing so I can identify model vulnerabilities before deployment
As a product owner, I want bias detection frameworks so I can ensure fair and equitable AI outputs
As a compliance officer, I want documented safety evaluations so I can demonstrate regulatory compliance
As an ML engineer, I want prompt injection testing so I can harden my application against adversarial inputs
As a risk manager, I want comprehensive vulnerability reports so I can prioritize safety improvements

Industry Applications

Financial Services

Fraud detection model auditing, fairness testing for lending decisions

Healthcare

Clinical AI safety validation, diagnostic model bias detection

Government

Public-facing AI safety compliance, NIST AI RMF alignment

Technology

Chatbot safety testing, content moderation validation

Education

EdTech AI safety, age-appropriate content verification

Implementation Steps

Step 01

Threat Modeling

Identify potential attack vectors, harm categories, and risk scenarios specific to your AI application

Step 02

Test Suite Design

Create comprehensive test cases covering jailbreaks, prompt injection, and bias scenarios

Step 03

Automated Testing

Deploy automated red teaming tools to systematically probe model vulnerabilities

Step 04

Human Evaluation

Conduct expert red team exercises for creative attack discovery

Step 05

Vulnerability Analysis

Analyze findings, prioritize risks, and develop mitigation strategies

Step 06

Continuous Monitoring

Implement ongoing safety monitoring and periodic re-evaluation

Core Components

Component	Function	Tools
Jailbreak Testing	DAN attacks, roleplay exploits, instruction override	DeepTeam, PromptBench, garak
Prompt Injection	Direct/indirect injection, context manipulation	PyRIT, LLM Guard, Rebuff
Bias Detection	Demographic parity, equal opportunity testing	Giskard, Fairlearn, AI Fairness 360
Toxicity Testing	Harmful content generation, safety boundary testing	Perspective API, Detoxify
Vulnerability Scanning	Systematic attack vector enumeration	OWASP LLM Top 10, AI Vulnerability DB
Reporting	Vulnerability reports, compliance documentation	Custom dashboards, NIST templates