
Comprehensive red-teaming and evaluation for recruitment chatbots, RAG systems, and LLM integrations.
Generative AI chatbots are revolutionizing candidate engagement—handling FAQs, scheduling interviews, and even conducting initial screening conversations. But these systems carry significant risks that most organizations don't fully understand.
LLMs can hallucinate job requirements, leak confidential information through clever prompting, and treat candidates inconsistently in ways that create legal liability. RAG systems may surface inappropriate content from connected knowledge bases.
We test your Gen AI systems to find these failures before candidates—or regulators—do.

Common failure modes we test for in recruitment chatbots and LLM systems
LLMs can generate convincing but false information about job requirements, company policies, or candidate qualifications.
Malicious candidates can manipulate chatbots to reveal internal processes or bypass screening questions.
Chatbots may treat candidates differently based on names, language patterns, or other identity markers.
RAG systems may inadvertently expose confidential information from training data or connected documents.
The same question may receive different responses for different candidates, creating fairness issues.
Chatbots may store or process personal data in ways that violate data protection requirements.
A systematic approach to finding vulnerabilities in your Gen AI systems
We document your chatbot architecture, data sources, prompts, and integration points.
Red-team exercises with prompt injection, jailbreaking, and manipulation attempts.
Systematic testing with varied candidate profiles to detect discriminatory patterns.
Fact-checking responses against ground truth data and company policies.
Detailed documentation of all discovered weaknesses, with severity ratings and evidence.
Gap analysis against EU AI Act requirements for high-risk AI systems.
Practical recommendations for fixing identified issues, prioritized by risk.
Get a comprehensive evaluation of your Gen AI recruitment systems.
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