ABIS — AI Behavioral Intelligence System
The models youbuild on change silently.We catch it.
ABIS monitors LLM behavioral drift in real time — deterministic scoring across 11 models, no ML black boxes. Know when GPT-4o, Claude, or DeepSeek change before your users do.
Models monitored
Behavioral scores
Version changes detected
The problem
The hidden sickness of AI that nobody is talking about.
The AI models your business depends on are silently changing their behaviour after deployment. No changelog, no warning, no notification. One day your system works perfectly — the next, outputs drift and nobody knows why. ABIS detects these invisible shifts before they become costly failures.
Continuous monitoring
11 major models tracked across 9 behavioral dimensions around the clock.
Silent change detection
Catches provider updates that break your pipelines before your users notice.
The Hidden Sickness of AI
Why behavioural drift is the biggest unsolved risk in production AI
Models monitored daily
Benchmarks run
Silent changes detected
Research Library
A living archive of ABIS studies, validation notes, and flagship papers.
The site now works as a real library rather than a static brochure: manuscript summaries, dated findings, method notes, and applied scenarios, all organized for technical readers.
Flagship Papers
The core ABIS research thread is now visible from the homepage.
These are the anchor papers for the current program: deterministic drift detection, comparative stability, and behavioral geography.
Latest Research
Fresh notes and dated findings.
A mix of lightweight logs and benchmark-style studies keeps the library current between major releases.
What We Are Studying Now
Three active questions shaping the current publication run.
The strongest through-lines in the current manuscript set are about signal detection, stability mapping, and the operational limits of correction.
Sectors
Built for critical industries.
Where silent AI model changes carry the highest operational risk.
Measurement first.
Interpretation second.
CIJ Labs focuses on deterministic behavioral instrumentation that supports governance without exposing sensitive internals. Reproducible evidence over probabilistic guesses.
About the labPublic-safe disclosure
7-day publication delay. Aggregate-only metrics. No prompt-level attribution.
Multi-domain foundations
One deterministic measurement layer underpins AI, healthcare, and defense research.
Operational governance
Built for production deployment — not academic benchmarks. Real-world validated.