Research, guides, and engineering deep-dives from the AIBIM team.
Model updates, fine-tuning, and changing usage patterns can make AI behavior shift over time. Here's how teams can monitor changes without exposing internal methods.
Network controls alone cannot govern AI behavior. SDK integrations, Desktop Agent coverage, and clear review records close the operational gap.
The EU AI Act introduces mandatory requirements for high-risk AI systems. Here's how to automate compliance reporting and avoid last-minute scrambles.
If you can't verify where your model came from, you can't trust its output. Source records and asset inventories help teams keep AI setup reviewable.
Security tools should be transparent, auditable, and built for developers. Here's our philosophy on AI security and what it means for the industry.
