Research Deep Dive February 2026

14 Hidden AI Behaviors You Must Detect

An interactive deep-dive into AuditBench: the alignment auditing benchmark that reveals how AI models can harbor concealed behaviors and how the PALO Framework helps you identify, assess, and mitigate each one.

Read Full Paper Try Investigator Simulator Self-Assessment
14
Hidden Behaviors
56
Trained Models
13
Audit Tools Tested
4
Training Configs

The 14 Hidden Behaviors PALO Analysis

Each behavior card provides a full PALO Framework analysis: Why it matters, How it manifests, Tips for detection, Tricks models use to hide it, Mitigation strategies, and Identification techniques.

Key Research Findings

Investigator Simulator

Simulate an Alignment Audit

An interactive auditing game. Start Blind Mode for a random hidden behavior you must identify, or select a specific behavior to practice. The model gives contextual, behavior-specific responses to your probes. Use audit tools to gather evidence, then submit your guess!

Select Target Behavior

System
👋 Welcome to the Investigator Simulator!

🎲 Blind Mode A random hidden behavior is assigned. You must figure out which one!
🎯 Training Mode Select a specific behavior to learn how it manifests.

Start by choosing a mode from the sidebar.

PALO Alignment Self-Assessment

Evaluate Your AI System

Use this checklist to assess whether your AI system might harbor hidden behaviors and evaluate your auditing readiness according to the PALO Framework.

System Profile

Auditing Checklist

Your PALO Audit Score

Complete the checklist to see your score

Protect Against Hidden AI Behaviors

Use the full PALO Framework toolkit to implement systematic alignment auditing and ensure responsible AI governance in your organization.