The Caremark Doctrine: Why AI Governance is a Board-Level ConcernPreview
The Caremark doctrine sets expectations for board oversight of material risks. Here's how AI governance fits into board-level compliance programs.
Expert insights on EU AI Act compliance, AI governance, and building legally defensible AI systems.
The EU AI Act is the world's first comprehensive AI regulation, with staged enforcement: prohibited practices (Feb 2025), GPAI obligations (Aug 2025), and full applicability (Aug 2026). Here's your complete guide to the timeline and compliance requirements.
The Caremark doctrine sets expectations for board oversight of material risks. Here's how AI governance fits into board-level compliance programs.
Build your Glass Box in 15 minutes. A step-by-step guide to integrating ProlixoTech with your Python inference pipeline — from pip install to enterprise-grade trust.
Enterprise buyers demand proof of AI integrity. Without verifiable evidence, you're losing deals to competitors who can show their Glass Box. Here's what it's costing you.
Article 22 of GDPR gives users the right to an explanation of automated decisions. Here's how to implement it without exposing your model.
The cryptographic foundation of Glass Box trust. Hardware Security Modules ensure signing keys never leave secure hardware — here's how we build verifiable AI.
Who should be on your AI governance committee? We break down roles, responsibilities, and how to get executive buy-in.
Move from Black Box uncertainty to Glass Box Authority. Here's what makes ProlixoTech the choice for enterprise AI teams.
Cryptographic snapshot of safety rules at inference time. Prove what policies were active when sued years later.
AWS HSM signatures that even we can't fake. Private keys never leave Amazon's physical hardware.
EU AI Act Article 12 compliance without reading 200 pages. We track what the law requires automatically.
Monthly Certificate of Truth supports board oversight documentation requirements.
Sub-millisecond typical overhead. Background queue means your AI stays fast.
High-throughput via parallel sharding. No single-point bottlenecks during launch day.
Smart batching via Kinesis Firehose compresses logs into Parquet blocks. Optimized for long-term storage.