Blog
Insights from the Chronicler team
Engineering deep dives, compliance guides, and thoughts on the future of AI safety.
Zero-Knowledge Proofs for AI Compliance: A Technical Deep Dive
How we use Groth16 zk-SNARKs to prove GDPR compliance without exposing sensitive audit data. A look at our circuit design and optimization strategies.
Cedar Policies for AI Agents: Best Practices
Lessons learned from deploying Cedar policies across 100+ production AI agents. Common patterns, anti-patterns, and performance tips.
The EU AI Act is Here: What Developers Need to Know
Practical guidance on high-risk AI system requirements, logging obligations, and how Chronicler helps you stay compliant.
Embedding-Based Anomaly Detection for AI Agents
Using decision embeddings to detect prompt injection attacks and behavioral drift in production agent systems.
Building a Compliance-First AI Agent Architecture
Reference architecture for building AI agents with audit trails, policy enforcement, and cryptographic proofs built in from day one.
From Observability to Provability: Why Logs Aren't Enough
Regulators want proof, not promises. Here's why cryptographic attestations are becoming the new standard for AI compliance.
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