Bias-Free, Compliant AI Hiring
Secure AI recruiting tools while ensuring fair and compliant hiring practices
About AI Security in HR & Recruiting
HR departments and recruiting firms use AI for resume screening, candidate engagement, employee support, and workforce analytics. These applications must avoid discriminatory bias, protect candidate and employee PII, and comply with EEOC guidelines and state AI hiring laws. Wardstone helps HR AI maintain fairness while blocking attacks that could manipulate hiring decisions.
AI Security Challenges in HR & Recruiting
Bias and Discrimination
AI hiring tools must avoid discriminatory outcomes based on protected characteristics.
Candidate Data Protection
AI processing resumes and applications handles sensitive PII including SSNs and background information.
AI Hiring Laws
New laws in NYC, Illinois, and other jurisdictions regulate AI in employment decisions.
Employee Data Privacy
HR AI handling employee records must comply with privacy laws and company policies.
Use Cases for HR & Recruiting
Resume Screening
Secure AI screening candidates while preventing bias manipulation
Candidate Chatbots
Protect AI assistants handling candidate inquiries and scheduling
Employee Support
Secure internal HR chatbots handling benefits and policy questions
Workforce Analytics
Protect AI analyzing workforce data and generating insights
Compliance Support
EEOC Guidelines
Equal Employment Opportunity Commission rules on AI in hiring
Content moderation helps identify potentially biased AI outputs in hiring contexts.
NYC Local Law 144
New York City law requiring bias audits for AI hiring tools
Wardstone's logging supports bias audit requirements for AI hiring tools.
Illinois AIPA
Illinois Artificial Intelligence Video Interview Act
Security controls ensure AI interview tools maintain required consent and transparency.
HR AI Security Architecture
Compliant, bias-aware security for HR applications
Threats We Protect Against
PII Exposure
highThe unintended disclosure of Personally Identifiable Information (PII) such as names, addresses, SSNs, credit cards, or other personal data through LLM interactions.
Prompt Injection
criticalAn attack where malicious instructions are embedded in user input to manipulate LLM behavior and bypass safety controls.
Toxic Content Generation
highLLM outputs containing harmful content including hate speech, violence, harassment, or other toxic material.
Social Engineering via LLM
mediumUsing LLMs to generate personalized phishing, scam, or manipulation content at scale.
Related Industry Solutions
Ready to secure your hr & recruiting AI?
Start with our free tier to see how Wardstone protects your applications, or contact us for enterprise solutions.