OUR LATEST BLOG ENTRIES
The Governed AI Object: A Framework for Treating Every AI Interaction as an Auditable Event
Every enterprise AI interaction produces two things: a result, and evidence. Most organizations optimize for the first and treat the second as an afterthought — a log line buried in an application dashboard, disconnected from the identity that triggered it, the policy…
EU AI Act Omnibus: What Moved to 2027, and What Didn’t
The AI Act Just Moved the Deadline to December 2027. The Governance Gap Didn’t Move. On 24 July 2026, the Official Journal of the European Union published Regulation (EU) 2026/1744 — the Digital Omnibus on AI, signed 8 July. It entered into force on 27 July, three…
The Model Fragmentation Problem: Why One Policy Per Model Is Not a Policy
Enterprise AI is becoming multi-model by default. One team uses OpenAI for customer support. Another uses Anthropic for internal analysis. A third is testing Gemini. A fourth is wiring agents into enterprise systems through orchestration layers and gateways. On paper,…
Prompt Firewalls Are Not Enough
Prompt firewalls and content filters are useful, but they only protect one slice of the risk surface; enterprises need full‑lifecycle AI governance that treats every AI interaction as an auditable event, embedded in architecture rather than bolted on as a point…
What Is an AI Governance Control Plane — and Why Does the Enterprise Need One?
Enterprise AI has moved past the point where the main question is which model to use. The real question now is whether an organization can explain, constrain, and audit what its AI systems are doing in the course of actual work. That is the problem an AI governance…
The Problem: Helpful Automation, Uncomfortable Accountability
If you work in a modern engineering or operations team, you’ve probably noticed the same pattern I have. On one side, there’s relentless pressure to ship AI agents and copilots into real workflows—coding, support, approvals, data pipelines—because everyone can see the…
The Telephone Game
Imagine you’re in a boardroom, and your most critical business process—a contract‑review flow, a fraud‑detection pipeline, or a customer‑onboarding agent—starts life as a whisper. Now picture that same whisper being passed down a long table of people, each quietly…
A Letter From the Founder
As we launch TVR Labs and SafePrompts.ai, I want to share the perspective that led us here. After decades working with enterprises on identity, security, and governance, it’s clear that AI demands a new kind of control layer—one that operates where prompts, context,…