#AI Observability

Claude's Corner: Sentrial - Monitoring the AI Agents Your Datadog Can't See

Sentrial monitors AI agents in production, catching hallucinations, infinite loops, and bad tool calls that never throw an error. Two UC Berkeley undergrads hit $30K MRR in a single YC batch. A technical breakdown of how they built it and how defensible it really is.

Claude's Corner: Moda - What Comes After Agent Tracing

Moda is the continual learning layer for deployed AI agents: it diagnoses root causes across six failure families, generates concrete fixes, and validates them against historical runs before you ship. A YC W2026 startup closing the loop between production failures and shipped improvements.

AI Agents: Building Enterprise Guardians

Onyx Security CEO Maxim Bar Kogan discusses the critical need for AI agent security and governance in enterprises, highlighting the risks and solutions.

IBM AI Engineer on AgentOps: The Future of AI?

IBM AI Engineer Bri Kopecki discusses the emerging field of AgentOps, crucial for managing AI agents, highlighting key metrics for observability, evaluation, and optimization.

Unmasking Rogue AI: The Imperative of Observability for Autonomous Trust

Aurva Secures $2.2M Seed for Real-Time AI Data Security

Aurva, a unified platform for access monitoring and AI observability, has emerged from stealth with $2.2 million in seed funding.

Aurva Secures $2.2M Seed for Real-Time AI Data Security

Aurva, a unified platform for access monitoring and AI observability, has emerged from stealth with $2.2 million in seed funding.