Pryvan
Risk & responsible AI

The guardrails are not keeping up with the usage

AI incidents hit a record in 2025, hallucination rates run as high as 94%, and one in nine organisations still has no responsible-AI policy. This is the security gap, measured.

Adoption is racing ahead; oversight is walking. The AI Index records a record year for documented AI incidents, wide and unpredictable error rates, and a transparency picture that is getting worse, not better. The space between how much AI is used and how well it is governed is exactly where data leaks, breaches and compliance failures happen.

362

documented AI incidents in 2025

up from 233 in 2024, a 55% rise

435

AI incidents in the peak month

January 2026

22–94%

hallucination rate across 26 leading models

error is the rule, not the exception

11%

of businesses still have no responsible-AI policy

down from 24%, but still roughly one in nine

17%

growth in dedicated AI-governance roles in 2025

Falling

model transparency scores

knowledge gaps and regulatory uncertainty are the top barriers

Source: Stanford HAI 2026 AI Index

Responsible AI chapter

What it means for you

This gap is the whole reason Pryvan exists.

Incidents rising 55% in a year, error rates up to 94%, and one in nine companies with no policy at all: that is what an unmanaged AI rollout looks like. The fix is not to slow down, it is to run AI where you can see it. EU-hosted open models on infrastructure you control turn an invisible risk into a governed one, with audit logs and a compliance pack to prove it.

One arrow. One direction. Forward.

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