Engineering Verifiable Systems: From Zero-Knowledge Proofs to AI Agent Trust

<!-- SC_OFF --><div class="md"><p>I have built a programmable governance layer for AI agents. I am considering to open source completely. Looking for feedback.</p> <p>Agent demos

<p>On March 31, 2026, Anthropic accidentally shipped the entire source code of Claude Code — its flagship AI coding agent — inside a routine npm update. No hack. No reverse

<p>Zero-knowledge proofs represent one of the most powerful primitives in modern cryptography, enabling a prover to convince a verifier that a statement is true without revealing

<p>Two independent security research groups published this week with findings that land on the same problem from different angles: AI agent skill files are a serious and

<p>Vertex AI has been Google Cloud's AI development platform since 2021. On April 22, 2026, at Google Cloud Next in Las Vegas, Google retired it — not with a deprecation notice,

<p>There is a moment in security design when a single observation changes everything. NanoClaw 2.0 shipped recently with a capability that stops most developers cold: a gateway

<p>The AI agent economy is about to get very real. When Claude needs to call an API, when a trading bot wants to execute a swap, or when an autonomous researcher needs to purchase

<blockquote> <p><strong>TL;DR:</strong> Model alignment ≠ agent security. The gap between a trained model and a governed agent is where the next wave of enterprise AI incidents