The Perplexity problem: when AI assistants challenge web infrastructure assumptions
AI systems won't fit our old categories, and our legal frameworks haven't caught up yet.
How systematic privacy governance becomes competitive advantage for AI deployment
EDPB guidance demonstrates how structured privacy governance approaches for LLM systems create competitive advantages while ensuring regulatory compliance.
Memory architectures that let AI agents learn from experience
The architectural shift to persistent, structured memory is happening now. Teams building these systems need to classify the memory types their agents require and define the associated governance policies upfront.
Documenting AI risk with NIST's four functions
The NIST AI RMF shifts AI risk management from abstract principles to a structured, operational process...When AI is ubiquitous, trust matters. The RMF provides a tool for building that trust through continuous improvement.
When AI agents break the principal-agent contract that built business
The most practical insight involves accepting that perfect solutions do not yet exist. Traditional agency mechanisms provide valuable frameworks for identifying problems and structuring solutions; however, new technical and legal infrastructure must evolve in tandem with the technology.
How to Build AI Systems You Can Actually Defend
The shift to widespread AI requires a shift in approach: from reactive problem-solving to intentional design... The organizations that get ahead of this will be the ones that can prove their AI systems work as intended—and can be trusted accordingly.
Why connection beats perfection in the age of AI acceleration
Research shows that teams optimizing for collaborative patterns—not individual star talent—consistently outperform, offering essential guidance for AI teams navigating rapid technological change.
Altman's fraud warning matters
OpenAI's CEO says we're heading for an AI fraud crisis, and the authentication methods most companies rely on are already broken.
