AI Bias Risk Audit
AI makes you work smarter and faster, but it may also make you liable
Companies seek efficiency by implementing GenAI, Agentic Workflos, or even developing their own LLMs. Though the training data is curated, bias can be present when prompts are being executed.
AI adoption is moving faster than AI governance
AI regulation is moving fast, but most companies are still operating without clear governance. Frameworks like the NIST AI Risk Management Framework, ISO/IEC 42001, and the EU AI Act are pushing organizations to prove that AI systems are fair, explainable, secure, and properly monitored. The risk is not only in the model itself, but in how employees, customers, and business processes interact with it. Passerum helps companies identify bias, governance gaps, and AI behavior risks before they become compliance, reputational, or operational problems
Model interaction can generate bias
Most companies develop guidelines that define what “correct usage” of AI is. However, models can still drift and hallucinate, creating behaviors that generate biased results.
Although this occurrence may happen by accident, you still have a duty to mitigate biased behaviors and correct them.
At Passerum, we focus our bias in three main categories:
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- Demographic
- Operational
- Prompt
Each of these categories allows us to be able to audit almost all AI-related solutions in the market.
Assess Your AI Risk for Free
Take the first step in assessing your organization’s AI Governance Risk by completing our free assessment. Upon completion, we will send you a brief report about your AI Governance Risk posture and what steps you should take to improve it.