Field Notes from PSR
Regulations are still uncertain. Legal and product professionals are trying to figure out what responsible actually looks like when the rules keep shifting.
When AI monetization meets basic security failures
Neon, a call-recording app that pays users to sell their audio to AI companies, went dark this week after TechCrunch discovered a security flaw that exposed every user's phone numbers, call recordings, and transcripts to anyone else using the app.
We're building AI systems faster than we're defining the safety boundaries for them
OpenAI cut off FoloToy's API access after researchers at the Public Interest Research Group found the company's AI teddy bear teaching childre…
Isolate AI agents to prevent zero-click prompt injection attacks
The rise of autonomous AI agents is fundamentally expanding the attack surface for zero-click exploits, creating new and unpredictable risks.
Assessing agentic AI risks with multi-layered governance
Agentic AI demands a different approach to governance—proactive, structured, layered.
Governance protocols for AI systems when regulation lags deployment
With AI regulation lagging, forward-thinking organizations can bridge the gap through robust internal governance frameworks, ensuring ethical AI development while gaining competitive advantage
AI agents are hitting reality checks faster than the hype suggested
Agentic AI fails due to unrealistic expectations about automation capabilities, poor use case selection, data quality problems across multiple sources, and governance gaps requiring custom solutions.
NVIDIA shows what works when companies scale AI agents
Companies seeing real returns from AI agents build measurement systems alongside the technology, treating deployment as architectural decisions rather than bolt-on solutions.
